AP Statistics Semester I Examination Section I Questions 1-30 Spend approximately 60 minutes on this part of the exam.

Size: px
Start display at page:

Download "AP Statistics Semester I Examination Section I Questions 1-30 Spend approximately 60 minutes on this part of the exam."

Transcription

1 AP Statistics Semester I Examination Section I Questions 1-30 Spend approximately 60 minutes on this part of the exam. Name: Directions: The questions or incomplete statements below are each followed by five possible answers or completions. Select the choice that best answers the question or completes the statement. 1. The statement The median of a distribution is approximately equal to the mean of the distribution can be made true by adding which of the following: a. for all distributions b. only for symmetric, mound-shaped distributions. c. for skewed distributions. d. for symmetric distributions e. None of these 2. A distribution of weekly sales has a mean of $1,250 with a standard deviation of 230. Which of the following can be concluded from this information? a. The distribution is mound-shaped and symmetric. b. A negative z-score would correspond to a value less than $1,250 c. Some weekly sales are negative. d. A z-score tells the number of standard deviations a value is from the median. e. None of these can be concluded. 3. A linear regression model from a study of weight loss and daily exercise was Weight loss = (Time). This indicates which of the following? a. The correlation coefficient is negative. b. If you exercise longer, you will lose more weight. c. You will gain weight if you don t exercise. d. (0, -0.63) is an outlier. e. None of these is indicated. 5. Suppose the least squares regression line of the set {(hours of part-time work per week, GPA)} for 1,000 high school seniors was GPA= (Hours). The average GPA of students who worked 20 hours per week is approximately: a b c. 2.8 d. The value cannot be determined. e. None of the Above. 6. Which of the following will not be a cause of response bias? a. the level of honesty of the respondent b. wording of questions c. appearance of the interviewer d. the method of selection of participants e. All of these could be a cause of response bias. 7. A sample space contains only 5 elements. Which of the following could not be its probability distribution? Assume that the sets of the probabilities correspond to the elements A, B, C, D, and E. a. {0.3, 0, 0.3, 0, 0.4} b. {0.1, 0.2, 0.3, 0.4, 0.1} c. {0.9, 0.05, 0.05, 0, 0} d. {0, 0, 0, 0, 1} e. All of these are valid sets of probabilities. 4. A residual plot of a linear regression provides evidence of a good fit if which of the following statements are true? I. The points are randomly scattered above and below the horizontal axis. II. The distances from the horizontal axis to the III. points are approximately the same. The values of the deviations from the horizontal axis are small. a. I only b. I and II only c. I, II, III d. II only e. II and III only

2 8. Which of the following statements can be inferred from this histogram? a. median = mean b. median < mean c. median > mean d. The data are skewed left. e. None of these statements can be inferred. 9. Which of the following is no true of a normal curve? a. It is centered at 0 and has a standard deviation of 1. b. It is asymptotic to the x-axis. c. There are points of inflection at 1 standard deviation. d. The area under the curve equals 1. e. All of these are true. 10. Which best describes statistical bias? a. Bias is the tendency for a distribution to be skewed b. Bias is not an issue with symmetric mound-shaped distributions c. Bias increases variation in responses. d. Bias is a systematic error in the survey results. e. None of these describes bias. 11. Which of the following is false about the standard deviation? a. For mound-shaped, symmetric distributions, approximately 95% of the data are within 2 standard deviations of the mean. b. Standard deviation cannot be computed for skewed distributions. c. Standard deviation is the square root of variance. d. For mound-shaped, symmetric distributions, the interval [-1 standard deviation, +1 standard deviation] is wider than the interquartile range. e. All of these are true. 12. A girl scores a 23 in math on the ACT and 560 on the math section of the SAT. Suppose both distributions are approximately normal and the mean of the ACT was 19 with a standard deviation of 6, while the mean of the SAT was 490 with a standard deviation of 140. Which of the following is no true? a. Comparison of z-scores will identify the better score. b. The number of students who took each exam this year compared to past years will impact the comparison of scores. c. The z-score of the ACT score is 0.67 while the z- score of the SAT is 0.5. d. Comparison of percentile will identify the better score. e. All of these are true. 13. At a particular value, the residual for a linear regression has a value of 1.2. Which of the following is a true statement? a. r for the regression. b. The regression line overestimates the actual value of the point. c. The regression line underestimates the actual value of the point. d. A non-linear regression would provide a better fit. e. None of these are true. 14. Randomization a. is necessary in all experimental designs. b. is not required in block design c. is not required in match-pairs designs. d. is for simple random samples. e. reduces the error in the estimate of the mean 15. Which of the following is not a consideration in determining the goodness of fit of a model? r 2 a. the value of b. the slope of its residual plot c. the existence of influential points d. the existence of pattern in the residual points e. All of these are considerations. 16. Subjects for a study of identical twins, one of who has died of cancer, were identified by a nationwide search of hospital records. Once identified, individuals were asked to participate in the study dealing with the effects of the loss on the surviving twin. This method of selection is best described as: a. multi-staged block design b. an observational study c. a randomized experiment d. a voluntary response sample e. a controlled experiment

3 17. A probability distribution of earnings from a $1,000 investment in an Internet company for a term of 3 years is: -$1,000 $0 $1,000 $2,000 $3, How much should you expect to earn from this 3-year investment? a. $800 b. $1,000 c. $1,200 d. $2,000 e. $2, Event A has probability 0.4. Event B has probability 0.5. If A and B are disjoint, then the probability that both events occur is: a. 0.0 b. 0.1 c. 0.2 d. 0.9 e. None of the above. 19. Which of the following is not a requirement of a controlled experiment? a. Control b. Comparison c. Replication d. Randomization e. All of these are required. 20. Give the correct order of the following from the least to the greatest in a normal curve. I. 3 rd quartile II. value of the 70 th percentile III. value of a z-score of 1. a. I, II, III b. II, I, III c. III, II, I d. I, III, II e. III, I, II 21. Which of the following is a valid probability density function on the interval [0,2]? a. f x 0. 5x b. f x x c. f x 2x d. f x x e. None of these 22. Which of the following statements are true about discrete probability distributions? I. The sum of the probabilities must equal 1. II. There are a finite number of outcomes. III. All the probabilities must be non-negative. a. I only b. I and II c. I, II, and III d. I and III e. II only 23. Which of the following is resistant to extreme values? I. Mean II. Median III. Inter-Quartile Range IV. Range a. II, III b. I, II, IV c. II, III, IV d. II only e. All are resistant to extreme values 24. The following table displays the results of a sample of 99 subjects in which each person indicated his or her favorite sport of three listed. The data are organized by favorite sport and age group. Age Football Baseball Soccer Over B/t 20 and Under What is the probability that a person chosen at random will be under 20 and favor baseball? a. b. c. d e. None of these 25. A pretzel company calculated that there is a mean of 72.5 broken pretzels in each production run with a standard deviation of 7.1. If the distribution is approximately normal, find the probability that there will be fewer than 60 broken pretzels in a run? a. 0 b c d e. None of these.

4 26. If representation of all four classes in a high school is of importance, which of the following sampling designs is appropriate? a. Simple Random Sample b. Systematic Sample c. Quota Sample d. Stratified Random Sample e. None of these. 27. Which observation has the higher z-score? I. x 25.4; x 12.9; s 3. 7 II. x 137.5; x 73.7; s a. I b. II c. z-scores are equal d. cannot be determined with given information e. None of the above. 28. In a particular game of solitaire, the object of the game is to reduce the card into one stack by moving stacks one to the left or three to the left. Stacks of cards are moved to the left if their top card either matches the suit or the number of the top card of a stack in the position listed above. The following outcomes and probabilities are given: # of stacks Win/Lose $1 $0.50 $0.25 $0 -$0.25 Probability If you were to play this game 10 times, your net winnings should be approximately: a. $0.48 b. $0.12 c. $0.43 d. $0.74 e. None of the above. 29. Given that P(A)=0.125, P(B)=0.237, P(A and B)=0.077, and P(A or B)=0.285, which of the following statements are true? a. A and B are independent and disjoint. b. A and B are independent but not disjoint. c. A and B are disjoint but not independent d. A and B are neither disjoint nor independent e. A and B are joint, but there is not enough information to determine if they are independent. 30. I toss a fair coin a large number of times. Assuming tosses are independent, which of the following is true? a. Once the number of flips is large enough (usually about 10,000) the number of heads will always be exactly half of the total number of tosses. For example, after 10,000 tosses I should have 5,000 heads. b. The proportion of heads will be about 1 2 and this proportion will tend to get closer and closer to 1 2 as the number of tosses increases. c. As the number of tosses increases, any long run of heads will be balanced by a corresponding run of tails so that the overall proportion of heads is 1 2. d. All of the above e. None of the above End of Section I Continue onto Section II: Free-Response Questions

5 Semester I Exam Section II Questions 1-4 Spend about 60 minutes on this section of the exam. Directions: In order to receive full credit for your free-response questions, you must completely analyze each situation and clearly communicate your analyses and results. In order to earn partial credit when warranted, be sure to show enough work so that your reasoning process can be followed. Use the blank paper for your answers. 1. A fast food restaurant chain is conducting an incentive program of including 1 of 6 different characters from a popular cartoon movie ( El Kid, Lo Mejor ) in their children s meal at no extra charge. Each character has the same likelihood of being present in a given children s meal. a. Describe how you would design a simulation using a random digits table to determine the probability that a person will get at least 3 of the 6 characters in a random purchase of 10 children s meals. b. Conduct your simulation three times using a random digits table. Indicate each simulation in a separate row of the table; begin at the far left of each row. Report your findings c. One of the characters is of a new superstar, El Magnifico. Describe how you would design a simulation using a random digits table to determine the probability that a person will get El Magnifico s character before getting El Magnifico s arch rival, Diablito. d. Conduct your simulation three times using the random digits table below. Indicate each simulation in a separate row of the table; begin at the far left of each row The following data are for intelligence-test (IT) scores, grade-point-averages (GPA), and reading rates (RR) of 20 atrisk students. IT GPA RR IT GPA RR a. Calculate the line of best fit that predicts GPA on the basis of IT scores. b. Calculate the line of best fit that predicts GPA on the basis of RR scores. c. Which of the two line calculated in parts a and b best fits the data? Justify your answer citing statistical evidence of goodness of fit.

6 3. A simple random sample of 50 adults who live in a large urban area were asked to indicate the number of parking tickets that each had received over the last 5 years. A stem and leaf plot of the data is shown below Leaf Unit = 1.0, n = 50 a. Draw and label a sketch of the box plot of these data. b. Compare (and contrast) the box to the stem-and-leaf plot. Explain your answer. c. Based on the given stem-and-leaf plot and the box plot you sketched in part a., describe the relation between the mean and the median of these data. 4. An insurance company that specializes in renter s coverage anticipates that it will have to pay benefits to its customers in the amounts listed in the table below. In addition, it estimates the probabilities of each payment: Benefit ($) 500 1,000 2,000 5,000 10,000 Probability a. Does this table specify a probability distribution? Explain the reasons for your answer. b. How much would you estimate that the company can expect to pay for a claim? c. What is the standard deviation of the estimate in part b?

FSA Algebra I End-of-Course Review Packet

FSA Algebra I End-of-Course Review Packet FSA Algebra I End-of-Course Review Packet Table of Contents MAFS.912.N-RN.1.2 EOC Practice... 3 MAFS.912.N-RN.2.3 EOC Practice... 5 MAFS.912.N-RN.1.1 EOC Practice... 8 MAFS.912.S-ID.1.1 EOC Practice...

More information

Statistics 100 Exam 2 March 8, 2017

Statistics 100 Exam 2 March 8, 2017 STAT 100 EXAM 2 Spring 2017 (This page is worth 1 point. Graded on writing your name and net id clearly and circling section.) PRINT NAME (Last name) (First name) net ID CIRCLE SECTION please! L1 (MWF

More information

Chapter # classifications of unlikely, likely, or very likely to describe possible buying of a product?

Chapter # classifications of unlikely, likely, or very likely to describe possible buying of a product? A. Attribute data B. Numerical data C. Quantitative data D. Sample data E. Qualitative data F. Statistic G. Parameter Chapter #1 Match the following descriptions with the best term or classification given

More information

Samples and Surveys pp

Samples and Surveys pp LESSON 4-1 Samples and Surveys pp. 174 175 Vocabulary population (p. 174) sample (p. 174) biased sample (p. 174) random sample (p. 175) systematic sample (p. 175) stratified sample (p. 175) Additional

More information

AP Statistics Cumulative AP Exam Study Guide

AP Statistics Cumulative AP Exam Study Guide AP Statistics Cumulative AP Eam Study Guide Chapters & 3 - Graphs Statistics the science of collecting, analyzing, and drawing conclusions from data. Descriptive methods of organizing and summarizing statistics

More information

The point value of each problem is in the left-hand margin. You must show your work to receive any credit, except in problem 1. Work neatly.

The point value of each problem is in the left-hand margin. You must show your work to receive any credit, except in problem 1. Work neatly. Introduction to Statistics Math 1040 Sample Final Exam - Chapters 1-11 6 Problem Pages Time Limit: 1 hour and 50 minutes Open Textbook Calculator Allowed: Scientific Name: The point value of each problem

More information

Chapters 1 & 2 Exam Review

Chapters 1 & 2 Exam Review Problems 1-3 refer to the following five boxplots. 1.) To which of the above boxplots does the following histogram correspond? (A) A (B) B (C) C (D) D (E) E 2.) To which of the above boxplots does the

More information

IB Questionbank Mathematical Studies 3rd edition. Grouped discrete. 184 min 183 marks

IB Questionbank Mathematical Studies 3rd edition. Grouped discrete. 184 min 183 marks IB Questionbank Mathematical Studies 3rd edition Grouped discrete 184 min 183 marks 1. The weights in kg, of 80 adult males, were collected and are summarized in the box and whisker plot shown below. Write

More information

Mrs. Poyner/Mr. Page Chapter 3 page 1

Mrs. Poyner/Mr. Page Chapter 3 page 1 Name: Date: Period: Chapter 2: Take Home TEST Bivariate Data Part 1: Multiple Choice. (2.5 points each) Hand write the letter corresponding to the best answer in space provided on page 6. 1. In a statistics

More information

Statistics I Exercises Lesson 3 Academic year 2015/16

Statistics I Exercises Lesson 3 Academic year 2015/16 Statistics I Exercises Lesson 3 Academic year 2015/16 1. The following table represents the joint (relative) frequency distribution of two variables: semester grade in Estadística I course and # of hours

More information

are the objects described by a set of data. They may be people, animals or things.

are the objects described by a set of data. They may be people, animals or things. ( c ) E p s t e i n, C a r t e r a n d B o l l i n g e r 2016 C h a p t e r 5 : E x p l o r i n g D a t a : D i s t r i b u t i o n s P a g e 1 CHAPTER 5: EXPLORING DATA DISTRIBUTIONS 5.1 Creating Histograms

More information

Business Statistics Midterm Exam Fall 2015 Russell. Please sign here to acknowledge

Business Statistics Midterm Exam Fall 2015 Russell. Please sign here to acknowledge Business Statistics Midterm Exam Fall 5 Russell Name Do not turn over this page until you are told to do so. You will have hour and 3 minutes to complete the exam. There are a total of points divided into

More information

Name: Class: Date: ID: A. Find the mean, median, and mode of the data set. Round to the nearest tenth. c. mean = 9.7, median = 8, mode =15

Name: Class: Date: ID: A. Find the mean, median, and mode of the data set. Round to the nearest tenth. c. mean = 9.7, median = 8, mode =15 Class: Date: Unit 2 Pretest Find the mean, median, and mode of the data set. Round to the nearest tenth. 1. 2, 10, 6, 9, 1, 15, 11, 10, 15, 13, 15 a. mean = 9.7, median = 10, mode = 15 b. mean = 8.9, median

More information

Honors Algebra 1 - Fall Final Review

Honors Algebra 1 - Fall Final Review Name: Period Date: Honors Algebra 1 - Fall Final Review This review packet is due at the beginning of your final exam. In addition to this packet, you should study each of your unit reviews and your notes.

More information

Math 2000 Practice Final Exam: Homework problems to review. Problem numbers

Math 2000 Practice Final Exam: Homework problems to review. Problem numbers Math 2000 Practice Final Exam: Homework problems to review Pages: Problem numbers 52 20 65 1 181 14 189 23, 30 245 56 256 13 280 4, 15 301 21 315 18 379 14 388 13 441 13 450 10 461 1 553 13, 16 561 13,

More information

Cumulative Test 1. Evaluate the expression Answers [32 (17 12) 2 ] [(5 + 3)2 31]

Cumulative Test 1. Evaluate the expression Answers [32 (17 12) 2 ] [(5 + 3)2 31] Name Date Cumulative Test 1 Evaluate the expression. 1. 7 + 6 3. 4 5 18 3. 4[3 (17 1) ] 4. 3 [(5 + 3) 31] 5. 3(5m 4) when m = 6. 9x 4 when x = 3 Write an algebraic expression, an equation, or an inequality.

More information

CHAPTER 5: EXPLORING DATA DISTRIBUTIONS. Individuals are the objects described by a set of data. These individuals may be people, animals or things.

CHAPTER 5: EXPLORING DATA DISTRIBUTIONS. Individuals are the objects described by a set of data. These individuals may be people, animals or things. (c) Epstein 2013 Chapter 5: Exploring Data Distributions Page 1 CHAPTER 5: EXPLORING DATA DISTRIBUTIONS 5.1 Creating Histograms Individuals are the objects described by a set of data. These individuals

More information

Announcements. Lecture 5: Probability. Dangling threads from last week: Mean vs. median. Dangling threads from last week: Sampling bias

Announcements. Lecture 5: Probability. Dangling threads from last week: Mean vs. median. Dangling threads from last week: Sampling bias Recap Announcements Lecture 5: Statistics 101 Mine Çetinkaya-Rundel September 13, 2011 HW1 due TA hours Thursday - Sunday 4pm - 9pm at Old Chem 211A If you added the class last week please make sure to

More information

DSST Principles of Statistics

DSST Principles of Statistics DSST Principles of Statistics Time 10 Minutes 98 Questions Each incomplete statement is followed by four suggested completions. Select the one that is best in each case. 1. Which of the following variables

More information

Mean, Median, Mode, and Range

Mean, Median, Mode, and Range Mean, Median, Mode, and Range Mean, median, and mode are measures of central tendency; they measure the center of data. Range is a measure of dispersion; it measures the spread of data. The mean of a data

More information

ALGEBRA 1 SEMESTER 1 INSTRUCTIONAL MATERIALS Courses: Algebra 1 S1 (#2201) and Foundations in Algebra 1 S1 (#7769)

ALGEBRA 1 SEMESTER 1 INSTRUCTIONAL MATERIALS Courses: Algebra 1 S1 (#2201) and Foundations in Algebra 1 S1 (#7769) Multiple Choice: Identify the choice that best completes the statement or answers the question. 1. Ramal goes to the grocery store and buys pounds of apples and pounds of bananas. Apples cost dollars per

More information

Measures of the Location of the Data

Measures of the Location of the Data Measures of the Location of the Data 1. 5. Mark has 51 films in his collection. Each movie comes with a rating on a scale from 0.0 to 10.0. The following table displays the ratings of the aforementioned

More information

Describing distributions with numbers

Describing distributions with numbers Describing distributions with numbers A large number or numerical methods are available for describing quantitative data sets. Most of these methods measure one of two data characteristics: The central

More information

AP Final Review II Exploring Data (20% 30%)

AP Final Review II Exploring Data (20% 30%) AP Final Review II Exploring Data (20% 30%) Quantitative vs Categorical Variables Quantitative variables are numerical values for which arithmetic operations such as means make sense. It is usually a measure

More information

QUIZ 1 (CHAPTERS 1-4) SOLUTIONS MATH 119 SPRING 2013 KUNIYUKI 105 POINTS TOTAL, BUT 100 POINTS = 100%

QUIZ 1 (CHAPTERS 1-4) SOLUTIONS MATH 119 SPRING 2013 KUNIYUKI 105 POINTS TOTAL, BUT 100 POINTS = 100% QUIZ 1 (CHAPTERS 1-4) SOLUTIONS MATH 119 SPRING 2013 KUNIYUKI 105 POINTS TOTAL, BUT 100 POINTS = 100% 1) (6 points). A college has 32 course sections in math. A frequency table for the numbers of students

More information

Final Exam - Solutions

Final Exam - Solutions Ecn 102 - Analysis of Economic Data University of California - Davis March 19, 2010 Instructor: John Parman Final Exam - Solutions You have until 5:30pm to complete this exam. Please remember to put your

More information

Math 1040 Final Exam Form A Introduction to Statistics Fall Semester 2010

Math 1040 Final Exam Form A Introduction to Statistics Fall Semester 2010 Math 1040 Final Exam Form A Introduction to Statistics Fall Semester 2010 Instructor Name Time Limit: 120 minutes Any calculator is okay. Necessary tables and formulas are attached to the back of the exam.

More information

Name: Exam 2 Solutions. March 13, 2017

Name: Exam 2 Solutions. March 13, 2017 Department of Mathematics University of Notre Dame Math 00 Finite Math Spring 07 Name: Instructors: Conant/Galvin Exam Solutions March, 07 This exam is in two parts on pages and contains problems worth

More information

MATH 10 INTRODUCTORY STATISTICS

MATH 10 INTRODUCTORY STATISTICS MATH 10 INTRODUCTORY STATISTICS Tommy Khoo Your friendly neighbourhood graduate student. Week 1 Chapter 1 Introduction What is Statistics? Why do you need to know Statistics? Technical lingo and concepts:

More information

Final Exam STAT On a Pareto chart, the frequency should be represented on the A) X-axis B) regression C) Y-axis D) none of the above

Final Exam STAT On a Pareto chart, the frequency should be represented on the A) X-axis B) regression C) Y-axis D) none of the above King Abdul Aziz University Faculty of Sciences Statistics Department Final Exam STAT 0 First Term 49-430 A 40 Name No ID: Section: You have 40 questions in 9 pages. You have 90 minutes to solve the exam.

More information

ALGEBRA I SEMESTER EXAMS PRACTICE MATERIALS SEMESTER (1.1) Examine the dotplots below from three sets of data Set A

ALGEBRA I SEMESTER EXAMS PRACTICE MATERIALS SEMESTER (1.1) Examine the dotplots below from three sets of data Set A 1. (1.1) Examine the dotplots below from three sets of data. 0 2 4 6 8 10 Set A 0 2 4 6 8 10 Set 0 2 4 6 8 10 Set C The mean of each set is 5. The standard deviations of the sets are 1.3, 2.0, and 2.9.

More information

Lecture Notes for BUSINESS STATISTICS - BMGT 571. Chapters 1 through 6. Professor Ahmadi, Ph.D. Department of Management

Lecture Notes for BUSINESS STATISTICS - BMGT 571. Chapters 1 through 6. Professor Ahmadi, Ph.D. Department of Management Lecture Notes for BUSINESS STATISTICS - BMGT 571 Chapters 1 through 6 Professor Ahmadi, Ph.D. Department of Management Revised May 005 Glossary of Terms: Statistics Chapter 1 Data Data Set Elements Variable

More information

Math 082 Final Examination Review

Math 082 Final Examination Review Math 08 Final Examination Review 1) Write the equation of the line that passes through the points (4, 6) and (0, 3). Write your answer in slope-intercept form. ) Write the equation of the line that passes

More information

Describing distributions with numbers

Describing distributions with numbers Describing distributions with numbers A large number or numerical methods are available for describing quantitative data sets. Most of these methods measure one of two data characteristics: The central

More information

Chapter 01 : What is Statistics?

Chapter 01 : What is Statistics? Chapter 01 : What is Statistics? Feras Awad Data: The information coming from observations, counts, measurements, and responses. Statistics: The science of collecting, organizing, analyzing, and interpreting

More information

AIM HIGH SCHOOL. Curriculum Map W. 12 Mile Road Farmington Hills, MI (248)

AIM HIGH SCHOOL. Curriculum Map W. 12 Mile Road Farmington Hills, MI (248) AIM HIGH SCHOOL Curriculum Map 2923 W. 12 Mile Road Farmington Hills, MI 48334 (248) 702-6922 www.aimhighschool.com COURSE TITLE: Statistics DESCRIPTION OF COURSE: PREREQUISITES: Algebra 2 Students will

More information

Notes slides from before lecture. CSE 21, Winter 2017, Section A00. Lecture 16 Notes. Class URL:

Notes slides from before lecture. CSE 21, Winter 2017, Section A00. Lecture 16 Notes. Class URL: Notes slides from before lecture CSE 21, Winter 2017, Section A00 Lecture 16 Notes Class URL: http://vlsicad.ucsd.edu/courses/cse21-w17/ Notes slides from before lecture Notes March 8 (1) This week: Days

More information

FSA Algebra I End-of-Course Review Packet

FSA Algebra I End-of-Course Review Packet FSA Algebra I End-of-Course Review Packet Table of Contents MAFS.912.N-RN.1.2 EOC Practice... 3 MAFS.912.N-RN.2.3 EOC Practice... 5 MAFS.912.N-RN.1.1 EOC Practice... 8 MAFS.912.S-ID.1.1 EOC Practice...

More information

Unit 4 Probability. Dr Mahmoud Alhussami

Unit 4 Probability. Dr Mahmoud Alhussami Unit 4 Probability Dr Mahmoud Alhussami Probability Probability theory developed from the study of games of chance like dice and cards. A process like flipping a coin, rolling a die or drawing a card from

More information

Sets and Set notation. Algebra 2 Unit 8 Notes

Sets and Set notation. Algebra 2 Unit 8 Notes Sets and Set notation Section 11-2 Probability Experimental Probability experimental probability of an event: Theoretical Probability number of time the event occurs P(event) = number of trials Sample

More information

Sampling, Frequency Distributions, and Graphs (12.1)

Sampling, Frequency Distributions, and Graphs (12.1) 1 Sampling, Frequency Distributions, and Graphs (1.1) Design: Plan how to obtain the data. What are typical Statistical Methods? Collect the data, which is then subjected to statistical analysis, which

More information

1. Consider the independent events A and B. Given that P(B) = 2P(A), and P(A B) = 0.52, find P(B). (Total 7 marks)

1. Consider the independent events A and B. Given that P(B) = 2P(A), and P(A B) = 0.52, find P(B). (Total 7 marks) 1. Consider the independent events A and B. Given that P(B) = 2P(A), and P(A B) = 0.52, find P(B). (Total 7 marks) 2. In a school of 88 boys, 32 study economics (E), 28 study history (H) and 39 do not

More information

UNIT 5 ~ Probability: What Are the Chances? 1

UNIT 5 ~ Probability: What Are the Chances? 1 UNIT 5 ~ Probability: What Are the Chances? 1 6.1: Simulation Simulation: The of chance behavior, based on a that accurately reflects the phenomenon under consideration. (ex 1) Suppose we are interested

More information

Stat 2300 International, Fall 2006 Sample Midterm. Friday, October 20, Your Name: A Number:

Stat 2300 International, Fall 2006 Sample Midterm. Friday, October 20, Your Name: A Number: Stat 2300 International, Fall 2006 Sample Midterm Friday, October 20, 2006 Your Name: A Number: The Midterm consists of 35 questions: 20 multiple-choice questions (with exactly 1 correct answer) and 15

More information

Paper Reference(s) 6683 Edexcel GCE Statistics S1 Advanced/Advanced Subsidiary Thursday 5 June 2003 Morning Time: 1 hour 30 minutes

Paper Reference(s) 6683 Edexcel GCE Statistics S1 Advanced/Advanced Subsidiary Thursday 5 June 2003 Morning Time: 1 hour 30 minutes Paper Reference(s) 6683 Edexcel GCE Statistics S1 Advanced/Advanced Subsidiary Thursday 5 June 2003 Morning Time: 1 hour 30 minutes Materials required for examination Answer Book (AB16) Graph Paper (ASG2)

More information

AP STATISTICS: Summer Math Packet

AP STATISTICS: Summer Math Packet Name AP STATISTICS: Summer Math Packet DIRECTIONS: Complete all problems on this packet. Packet due by the end of the first week of classes. Attach additional paper if needed. Calculator may be used. 1.

More information

Number of fillings Frequency q 4 1. (a) Find the value of q. (2)

Number of fillings Frequency q 4 1. (a) Find the value of q. (2) 1. The table below shows the frequency distribution of the number of dental fillings for a group of 25 children. Number of fillings 0 1 2 3 4 5 Frequency 4 3 8 q 4 1 Find the value of q. Use your graphic

More information

Arkansas Tech University MATH 3513: Applied Statistics I Dr. Marcel B. Finan

Arkansas Tech University MATH 3513: Applied Statistics I Dr. Marcel B. Finan 2.4 Random Variables Arkansas Tech University MATH 3513: Applied Statistics I Dr. Marcel B. Finan By definition, a random variable X is a function with domain the sample space and range a subset of the

More information

Chinle USD CURRICULUM GUIDE SUBJECT: MATH GRADE: 8th TIMELINE: 3 rd quarter

Chinle USD CURRICULUM GUIDE SUBJECT: MATH GRADE: 8th TIMELINE: 3 rd quarter *Strand 2: Data Analysis, Probability, and Discrete Concept 1: Data Analysis (Statistics) data collection, organization, and representation to analyze and sort data. PO 1. Solve problems by selecting,

More information

Lecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 3.1- #

Lecture Slides. Elementary Statistics Twelfth Edition. by Mario F. Triola. and the Triola Statistics Series. Section 3.1- # Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series by Mario F. Triola Chapter 3 Statistics for Describing, Exploring, and Comparing Data 3-1 Review and Preview 3-2 Measures

More information

Introduction to Statistics

Introduction to Statistics Introduction to Statistics Data and Statistics Data consists of information coming from observations, counts, measurements, or responses. Statistics is the science of collecting, organizing, analyzing,

More information

*Karle Laska s Sections: There is no class tomorrow and Friday! Have a good weekend! Scores will be posted in Compass early Friday morning

*Karle Laska s Sections: There is no class tomorrow and Friday! Have a good weekend! Scores will be posted in Compass early Friday morning STATISTICS 100 EXAM 3 Spring 2016 PRINT NAME (Last name) (First name) *NETID CIRCLE SECTION: Laska MWF L1 Laska Tues/Thurs L2 Robin Tu Write answers in appropriate blanks. When no blanks are provided CIRCLE

More information

Chapter 4 - Writing Linear Functions

Chapter 4 - Writing Linear Functions Chapter 4 - Writing Linear Functions Write an equation of the line with the given slope and y-intercept. 1. slope: 3 y-intercept: 6 a. y = 6x + 3 c. y = 6x 3 b. y = 3m + 6 d. y = 3x 6 2. D REF: Algebra

More information

Sample. Test Booklet. Subject: MA, Grade: HS PSSA 2013 Keystone Algebra 1. - signup at to remove - Student name:

Sample. Test Booklet. Subject: MA, Grade: HS PSSA 2013 Keystone Algebra 1. - signup at   to remove - Student name: Test Booklet Subject: MA, Grade: HS PSSA 2013 Keystone Algebra 1 Student name: Author: Pennsylvania District: Pennsylvania Released Tests Printed: Friday May 31, 2013 1 Which of the following inequalities

More information

Algebra 1 S1 (#2201) Foundations in Algebra 1 S1 (#7769)

Algebra 1 S1 (#2201) Foundations in Algebra 1 S1 (#7769) Instructional Materials for WCSD Math Common Finals The Instructional Materials are for student and teacher use and are aligned to the Course Guides for the following courses: Algebra 1 S1 (#2201) Foundations

More information

Unit 1: Statistics. Mrs. Valentine Math III

Unit 1: Statistics. Mrs. Valentine Math III Unit 1: Statistics Mrs. Valentine Math III 1.1 Analyzing Data Statistics Study, analysis, and interpretation of data Find measure of central tendency Mean average of the data Median Odd # data pts: middle

More information

Math Sec 4 CST Topic 7. Statistics. i.e: Add up all values and divide by the total number of values.

Math Sec 4 CST Topic 7. Statistics. i.e: Add up all values and divide by the total number of values. Measures of Central Tendency Statistics 1) Mean: The of all data values Mean= x = x 1+x 2 +x 3 + +x n n i.e: Add up all values and divide by the total number of values. 2) Mode: Most data value 3) Median:

More information

IM3 DEC EXAM PREP MATERIAL DEC 2016

IM3 DEC EXAM PREP MATERIAL DEC 2016 1. Given the line x 3 y 5 =1; Paper 1 - CALCULATOR INACTIVE a. Determine the slope of this line. b. Write the equation of this line in function form. c. Evaluate f ( 12). d. Solve for x if 95 = f (x).

More information

IE 4521 Midterm #1. Prof. John Gunnar Carlsson. March 2, 2010

IE 4521 Midterm #1. Prof. John Gunnar Carlsson. March 2, 2010 IE 4521 Midterm #1 Prof. John Gunnar Carlsson March 2, 2010 Before you begin: This exam has 9 pages (including the normal distribution table) and a total of 8 problems. Make sure that all pages are present.

More information

MATH STUDENT BOOK. 12th Grade Unit 9

MATH STUDENT BOOK. 12th Grade Unit 9 MATH STUDENT BOOK 12th Grade Unit 9 Unit 9 COUNTING PRINCIPLES MATH 1209 COUNTING PRINCIPLES INTRODUCTION 1. PROBABILITY DEFINITIONS, SAMPLE SPACES, AND PROBABILITY ADDITION OF PROBABILITIES 11 MULTIPLICATION

More information

Mathematics Standards for High School Advanced Quantitative Reasoning

Mathematics Standards for High School Advanced Quantitative Reasoning Mathematics Standards for High School Advanced Quantitative Reasoning The Advanced Quantitative Reasoning (AQR) course is a fourth-year launch course designed to be an alternative to Precalculus that prepares

More information

Test 2 VERSION B STAT 3090 Spring 2017

Test 2 VERSION B STAT 3090 Spring 2017 Multiple Choice: (Questions 1 20) Answer the following questions on the scantron provided using a #2 pencil. Bubble the response that best answers the question. Each multiple choice correct response is

More information

Semester 1 Review and Sequences and Series - Algebra 31

Semester 1 Review and Sequences and Series - Algebra 31 Name Period Date Semester 1 Review and Sequences and Series - Algebra 31 Functions 1. a.) f(2) = b.) f(x) = -2 c.) f(-3) = d.) f(x) = 3 e.) f (0) = Domain: Range: Increasing: Decreasing: Constant: 2. For

More information

LC OL - Statistics. Types of Data

LC OL - Statistics. Types of Data LC OL - Statistics Types of Data Question 1 Characterise each of the following variables as numerical or categorical. In each case, list any three possible values for the variable. (i) Eye colours in a

More information

Chapter 5 : Probability. Exercise Sheet. SHilal. 1 P a g e

Chapter 5 : Probability. Exercise Sheet. SHilal. 1 P a g e 1 P a g e experiment ( observing / measuring ) outcomes = results sample space = set of all outcomes events = subset of outcomes If we collect all outcomes we are forming a sample space If we collect some

More information

Homework (due Wed, Oct 27) Chapter 7: #17, 27, 28 Announcements: Midterm exams keys on web. (For a few hours the answer to MC#1 was incorrect on

Homework (due Wed, Oct 27) Chapter 7: #17, 27, 28 Announcements: Midterm exams keys on web. (For a few hours the answer to MC#1 was incorrect on Homework (due Wed, Oct 27) Chapter 7: #17, 27, 28 Announcements: Midterm exams keys on web. (For a few hours the answer to MC#1 was incorrect on Version A.) No grade disputes now. Will have a chance to

More information

3.2 Probability Rules

3.2 Probability Rules 3.2 Probability Rules The idea of probability rests on the fact that chance behavior is predictable in the long run. In the last section, we used simulation to imitate chance behavior. Do we always need

More information

Statistics 1. Exploring data

Statistics 1. Exploring data Exploring data Chapter assessment 1. George records the time he spends per day surfing the internet for the first three weeks of May. The times, given to the nearest minute, are as follows: 0 6 13 5 18

More information

MIDTERM EXAMINATION (Spring 2011) STA301- Statistics and Probability

MIDTERM EXAMINATION (Spring 2011) STA301- Statistics and Probability STA301- Statistics and Probability Solved MCQS From Midterm Papers March 19,2012 MC100401285 Moaaz.pk@gmail.com Mc100401285@gmail.com PSMD01 MIDTERM EXAMINATION (Spring 2011) STA301- Statistics and Probability

More information

High School Modeling Standards

High School Modeling Standards High School Modeling Standards Number and Quantity N-Q.1 - Use units as a way to understand problems and to guide the solution of multi-step problems; choose and interpret units consistently in formulas;

More information

Topic 2 Part 3 [189 marks]

Topic 2 Part 3 [189 marks] Topic 2 Part 3 [189 marks] The grades obtained by a group of 13 students are listed below. 5 3 6 5 7 3 2 6 4 6 6 6 4 1a. Write down the modal grade. Find the mean grade. 1b. Write down the standard deviation.

More information

Elementary Statistics

Elementary Statistics Elementary Statistics Q: What is data? Q: What does the data look like? Q: What conclusions can we draw from the data? Q: Where is the middle of the data? Q: Why is the spread of the data important? Q:

More information

FRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE

FRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE FRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE Course Title: Probability and Statistics (MATH 80) Recommended Textbook(s): Number & Type of Questions: Probability and Statistics for Engineers

More information

GRAPHS AND STATISTICS Central Tendency and Dispersion Common Core Standards

GRAPHS AND STATISTICS Central Tendency and Dispersion Common Core Standards B Graphs and Statistics, Lesson 2, Central Tendency and Dispersion (r. 2018) GRAPHS AND STATISTICS Central Tendency and Dispersion Common Core Standards Next Generation Standards S-ID.A.2 Use statistics

More information

The empirical ( ) rule

The empirical ( ) rule The empirical (68-95-99.7) rule With a bell shaped distribution, about 68% of the data fall within a distance of 1 standard deviation from the mean. 95% fall within 2 standard deviations of the mean. 99.7%

More information

Midterm Ch What is the difference between an observational study and well designed experiment?

Midterm Ch What is the difference between an observational study and well designed experiment? Midterm Ch. 1-8 AP STATS Name Date Per 1. What is the difference between an observational study and well designed experiment? 2. A high school statistics class wants to conduct a survey to determine what

More information

Lecture 6 Probability

Lecture 6 Probability Lecture 6 Probability Example: When you toss a coin, there are only two possible outcomes, heads and tails. What if we toss a coin 4 times? Figure below shows the results of tossing a coin 5000 times twice.

More information

Chapter 6 Assessment. 3. Which points in the data set below are outliers? Multiple Choice. 1. The boxplot summarizes the test scores of a math class?

Chapter 6 Assessment. 3. Which points in the data set below are outliers? Multiple Choice. 1. The boxplot summarizes the test scores of a math class? Chapter Assessment Multiple Choice 1. The boxplot summarizes the test scores of a math class? Test Scores 3. Which points in the data set below are outliers? 73, 73, 7, 75, 75, 75, 77, 77, 77, 77, 7, 7,

More information

Exam III #1 Solutions

Exam III #1 Solutions Department of Mathematics University of Notre Dame Math 10120 Finite Math Fall 2017 Name: Instructors: Basit & Migliore Exam III #1 Solutions November 14, 2017 This exam is in two parts on 11 pages and

More information

M 225 Test 1 B Name SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points Total 75

M 225 Test 1 B Name SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points Total 75 M 225 Test 1 B Name SHOW YOUR WORK FOR FULL CREDIT! Problem Max. Points Your Points 1-13 13 14 3 15 8 16 4 17 10 18 9 19 7 20 3 21 16 22 2 Total 75 1 Multiple choice questions (1 point each) 1. Look at

More information

M118 Exam Jam. Contents. Chapter 2: Set Theory 2. Chapter 3: Combinatorics 5. Chapter 4: Probability 7. Chapter 5: Statistics 12

M118 Exam Jam. Contents. Chapter 2: Set Theory 2. Chapter 3: Combinatorics 5. Chapter 4: Probability 7. Chapter 5: Statistics 12 Contents Chapter 2: Set Theory 2 Chapter 3: Combinatorics 5 Chapter 4: Probability 7 Chapter 5: Statistics 12 Chapter 6: Linear Equations and Matrix Algebra 17 Chapter 7: Linear Programming: Graphical

More information

DRAFT. M118 Exam Jam Concise. Contents. Chapter 2: Set Theory 2. Chapter 3: Combinatorics 3. Chapter 4: Probability 4. Chapter 5: Statistics 6

DRAFT. M118 Exam Jam Concise. Contents. Chapter 2: Set Theory 2. Chapter 3: Combinatorics 3. Chapter 4: Probability 4. Chapter 5: Statistics 6 Contents Chapter 2: Set Theory 2 Chapter 3: Combinatorics 3 Chapter 4: Probability 4 Chapter 5: Statistics 6 Chapter 6: Linear Equations and Matrix Algebra 8 Chapter 7: Linear Programming: Graphical Solutions

More information

Foundations of Math 1 Review

Foundations of Math 1 Review Foundations of Math 1 Review Due Wednesday 1/6/16. For each of the 23 questions you get COMPLETELY correct, you will receive a point on an extra assessment grade. **All regular credit must be completed

More information

Exam 2 Review Math 118 Sections 1 and 2

Exam 2 Review Math 118 Sections 1 and 2 Exam 2 Review Math 118 Sections 1 and 2 This exam will cover sections 2.4, 2.5, 3.1-3.3, 4.1-4.3 and 5.1-5.2 of the textbook. No books, notes, calculators or other aids are allowed on this exam. There

More information

STAT 200 Chapter 1 Looking at Data - Distributions

STAT 200 Chapter 1 Looking at Data - Distributions STAT 200 Chapter 1 Looking at Data - Distributions What is Statistics? Statistics is a science that involves the design of studies, data collection, summarizing and analyzing the data, interpreting the

More information

Math489/889 Stochastic Processes and Advanced Mathematical Finance Solutions for Homework 7

Math489/889 Stochastic Processes and Advanced Mathematical Finance Solutions for Homework 7 Math489/889 Stochastic Processes and Advanced Mathematical Finance Solutions for Homework 7 Steve Dunbar Due Mon, November 2, 2009. Time to review all of the information we have about coin-tossing fortunes

More information

Problem # Number of points 1 /20 2 /20 3 /20 4 /20 5 /20 6 /20 7 /20 8 /20 Total /150

Problem # Number of points 1 /20 2 /20 3 /20 4 /20 5 /20 6 /20 7 /20 8 /20 Total /150 Name Student ID # Instructor: SOLUTION Sergey Kirshner STAT 516 Fall 09 Practice Midterm #1 January 31, 2010 You are not allowed to use books or notes. Non-programmable non-graphic calculators are permitted.

More information

550 = cleaners. Label the managers 1 55 and the cleaners Use random numbers to select 5 managers and 45 cleaners.

550 = cleaners. Label the managers 1 55 and the cleaners Use random numbers to select 5 managers and 45 cleaners. Review Exercise 1 1 a A census observes every member of a population. A disadvantage of a census is it would be time-consuming to get opinions from all the employees. OR It would be difficult/time-consuming

More information

Lecture Lecture 5

Lecture Lecture 5 Lecture 4 --- Lecture 5 A. Basic Concepts (4.1-4.2) 1. Experiment: A process of observing a phenomenon that has variation in its outcome. Examples: (E1). Rolling a die, (E2). Drawing a card form a shuffled

More information

Intermediate Math Circles November 8, 2017 Probability II

Intermediate Math Circles November 8, 2017 Probability II Intersection of Events and Independence Consider two groups of pairs of events Intermediate Math Circles November 8, 017 Probability II Group 1 (Dependent Events) A = {a sales associate has training} B

More information

Algebra 1: Spring Semester Review

Algebra 1: Spring Semester Review Class: Date: Algebra 1: Spring Semester Review What is the solution of the system? Use a graph. 1. y = x + 2 y = 3x 1 a. c. b. d. 2. 4x + 3y = 12 2x + 3y = 18 3. y = x + 5 y = 5x 1 4. 5x + 4y = 9 4x +

More information

Subskills by Standard Grade 7 7.RP.1. Compute unit rates associated with ratios of fractions, including ratios of lengths, areas and other quantities

Subskills by Standard Grade 7 7.RP.1. Compute unit rates associated with ratios of fractions, including ratios of lengths, areas and other quantities 7.RP.1. Compute unit rates associated with ratios of fractions, including ratios of lengths, areas and other quantities measured in like or different units. For example, if a person walks 1/2 mile in each

More information

The probability of an event is viewed as a numerical measure of the chance that the event will occur.

The probability of an event is viewed as a numerical measure of the chance that the event will occur. Chapter 5 This chapter introduces probability to quantify randomness. Section 5.1: How Can Probability Quantify Randomness? The probability of an event is viewed as a numerical measure of the chance that

More information

Elisha Mae Kostka 243 Assignment Mock Test 1 due 02/11/2015 at 09:01am PST

Elisha Mae Kostka 243 Assignment Mock Test 1 due 02/11/2015 at 09:01am PST Elisha Mae Kostka 243 Assignment Mock Test 1 due 02/11/2015 at 09:01am PST 1. (1 pt) Luis Gonzalez began his career as a major league baseball player in 1990. You are given a sample of the number of homeruns

More information

Name: Class: Date: Mini-Unit. Data & Statistics. Investigation 1: Variability & Associations in Numerical Data. Practice Problems

Name: Class: Date: Mini-Unit. Data & Statistics. Investigation 1: Variability & Associations in Numerical Data. Practice Problems Mini-Unit Data & Statistics Investigation 1: Variability & Associations in Numerical Data Practice Problems Directions: Please complete the necessary problems to earn a maximum of 5 points according to

More information

7 th Grade Math Scope of Work Sumner County Schools

7 th Grade Math Scope of Work Sumner County Schools Quarter 1 The Number System Expressions and Equations 7.NS.A.1(a, b, c, and d) 7.NS.A.2(a, b, c, and d) 7.NS.A.3 7.EE.A.1 7.EE.A.2 Quarter 2 Expressions and Equations Ratios and Proportional Relationships

More information

QUIZ 1 (CHAPTERS 1-4) SOLUTIONS MATH 119 FALL 2012 KUNIYUKI 105 POINTS TOTAL, BUT 100 POINTS

QUIZ 1 (CHAPTERS 1-4) SOLUTIONS MATH 119 FALL 2012 KUNIYUKI 105 POINTS TOTAL, BUT 100 POINTS QUIZ 1 (CHAPTERS 1-4) SOLUTIONS MATH 119 FALL 2012 KUNIYUKI 105 POINTS TOTAL, BUT 100 POINTS = 100% Show all work, simplify as appropriate, and use good form and procedure (as in class). Box in your final

More information

6683/01 Edexcel GCE Statistics S1 Silver Level S1

6683/01 Edexcel GCE Statistics S1 Silver Level S1 Paper Reference(s) 6683/01 Edexcel GCE Statistics S1 Silver Level S1 Time: 1 hour 30 minutes Materials required for examination papers Mathematical Formulae (Green) Items included with question Nil Candidates

More information

There are three points A, B and C, in that order, on the road, where AB = 22 m and BC = 104 m.

There are three points A, B and C, in that order, on the road, where AB = 22 m and BC = 104 m. Mechanics Questions Q1. A car is moving along a straight horizontal road with constant acceleration. There are three points A, B and C, in that order, on the road, where AB = 22 m and BC = 104 m. The car

More information

Marquette University Executive MBA Program Statistics Review Class Notes Summer 2018

Marquette University Executive MBA Program Statistics Review Class Notes Summer 2018 Marquette University Executive MBA Program Statistics Review Class Notes Summer 2018 Chapter One: Data and Statistics Statistics A collection of procedures and principles

More information