AP STATISTICS: Summer Math Packet

Size: px
Start display at page:

Download "AP STATISTICS: Summer Math Packet"

Transcription

1 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. Look at the frequency table above. Identify in general what s wrong with this grouping scheme then cite two example resulting from this problem. 2. The frequency distribution table for the housing type is as follows: a) What is the total number of observations (total frequency)? n = b) What is the sum of the relative frequency? c) Interpret the meaning of the frequency for Apartment. d) Interpret the relative frequency for Apartment.

2 3. Let X1 = 8, X2 = 9, and X3 = 5. Using these values, show by example why Standard deviation is used as a measurement of distance between any measurement and the mean of the data set. For example, a measurement can be described as being so many standard deviations above or below the mean. A standard deviation of 0 indicates no change in the measurements. For example, if a student scores 8, 8, 8, and 8 on 4 quizzes, then the standard deviation of the scores is 0. A larger standard deviation indicates a larger spread among the measurements. 4. Consider the two student s quiz grades below. Use the information about standard deviation and decide which student would have a larger standard deviation. Student A: 4, 5, 6, 7, 8, 8, 8, 9, 9, 10 Student B: 5, 5, 6, 6, 6, 7, 7, 7, 8 5. Scale the x-axis from 4 to 10 in units of one. Construct parallel box plots of the student data above using the same scale.

3 Standardized scores or z-scores: Standardized scores, commonly known as z-scores, are independent of the units in which the data values are measured. Therefore, they are useful when comparing observations from different data sets measured on different scales. They are computed as: z score = measurement mean standard deviation A z-score gives the distance between the measurement and the mean in terms of the number of standard deviations. A negative z-score indicates that the measurement is smaller than the mean; a positive z-score indicates that the measurement is larger than the mean. NOTE: standard deviation is a measurement of the spread of a data set, we will learn more about this measurement later. Example: Suppose a teacher gave her students a test. The class average for student A was 74 and the standard deviation was 6. The class average for student B was 76 with a standard deviation of 5. Suppose student A got an 88 and student B got a 89. The z-score for student A is: z-score = = a) Find the z-score for student B (show work): b) Compare z-scores for student A and for student B. Which student did better relative to their class? Why? 7. A small used car dealer wanted to get an idea of how many cars her dealership sells per day. Listed below is the number of cars per day sold over a two-week period: Number of cars sold Find: a) The mean number of cars sold per day (round to 2 significant digits) b) The range of cars sold per day c) The median number of cars sold per day d) The first and third quartiles of the number of cars sold per day, e) The interquartile range of the number of cars sold per day

4 8. A random sample of 10 office assistants hired within the last six months was selected from a large company. For each selected office assistant, his or her experience (in months) at the time of hire and starting salary (in $1,000) were recorded and displayed in the scatterplot below. The equation of the least squares regression line (or line of best fit) is: salary = (experience) a) What is the slope of the least squares regression line? b) Interpret the meaning of the slope. c) Describe the relationship between experience and salary.

5 Example of a binomial distribution: Properties are described below to justify that this experiment is a binomial distribution: There are 20 repeated trials All trials are identical There are only two possible outcomes, an item is defective or not-defective We don t know the probability of success (or failure) but assume it is constant Justify that the following experiments have a binomial distribution by identifying each property:

AP Statistics Bivariate Data Analysis Test Review. Multiple-Choice

AP Statistics Bivariate Data Analysis Test Review. Multiple-Choice Name Period AP Statistics Bivariate Data Analysis Test Review Multiple-Choice 1. The correlation coefficient measures: (a) Whether there is a relationship between two variables (b) The strength of the

More information

Int Math 1 Statistic and Probability. Name:

Int Math 1 Statistic and Probability. Name: Name: Int Math 1 1. Juan wants to rent a house. He gathers data on many similar houses. The distance from the center of the city, x, and the monthly rent for each house, y, are shown in the scatter plot.

More information

Chapter (4) Discrete Probability Distributions Examples

Chapter (4) Discrete Probability Distributions Examples Chapter (4) Discrete Probability Distributions Examples Example () Two balanced dice are rolled. Let X be the sum of the two dice. Obtain the probability distribution of X. Solution When the two balanced

More information

Review Packet for Test 8 - Statistics. Statistical Measures of Center: and. Statistical Measures of Variability: and.

Review Packet for Test 8 - Statistics. Statistical Measures of Center: and. Statistical Measures of Variability: and. Name: Teacher: Date: Section: Review Packet for Test 8 - Statistics Part I: Measures of CENTER vs. Measures of VARIABILITY Statistical Measures of Center: and. Statistical Measures of Variability: and.

More information

Spring 2012 Student Performance Analysis

Spring 2012 Student Performance Analysis Spring 2012 Student Performance Analysis Algebra I Standards of Learning Presentation may be paused and resumed using the arrow keys or the mouse. 1 Representing and Evaluating Cube Roots and Square Roots

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

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

OHS Algebra 2 Summer Packet

OHS Algebra 2 Summer Packet OHS Algebra 2 Summer Packet Good Luck to: Date Started: (please print student name here) Geometry Teacher s Name: Complete each of the following exercises in this formative assessment. To receive full

More information

Algebra 1 A.9 A.10 Statistics Study Guide Page 1 Name: Date: Block: SOL A.9, A.10 Statistics Test Study Guide

Algebra 1 A.9 A.10 Statistics Study Guide Page 1 Name: Date: Block: SOL A.9, A.10 Statistics Test Study Guide Algebra 1 A.9 A.10 Statistics Study Guide Page 1 Name: Date: Block: Know how to: SOL A.9, A.10 Statistics Test Study Guide Find the mean, median, mode, and range for a set of data, and compare these measures.

More information

AP STATISTICS Name: Period: Review Unit IV Scatterplots & Regressions

AP STATISTICS Name: Period: Review Unit IV Scatterplots & Regressions AP STATISTICS Name: Period: Review Unit IV Scatterplots & Regressions Know the definitions of the following words: bivariate data, regression analysis, scatter diagram, correlation coefficient, independent

More information

2. What are the zeros of (x 2)(x 2 9)? (1) { 3, 2, 3} (2) { 3, 3} (3) { 3, 0, 3} (4) {0, 3} 2

2. What are the zeros of (x 2)(x 2 9)? (1) { 3, 2, 3} (2) { 3, 3} (3) { 3, 0, 3} (4) {0, 3} 2 ALGEBRA 1 Part I Answer all 24 questions in this part. Each correct answer will receive 2 credits. No partial credit will be allowed. For each question, write on the space provided the numeral preceding

More information

Name: Date: Block: The 28 LEARNING TARGETS on the Mid-Term are listed below:

Name: Date: Block: The 28 LEARNING TARGETS on the Mid-Term are listed below: Algebra Mid-Term STUDY GUIDE A., A., A.4, A.6, A.7, A.9, A.0 Name: Date: Block: The 8 LEARNING TARGETS on the Mid-Term are listed below: Use the order of operations (PEMDAS) to evaluate a numeric expression

More information

due Thursday, August 25, Friday, September 2, 2016 test Prerequisite Skills for Algebra II Advanced

due Thursday, August 25, Friday, September 2, 2016 test Prerequisite Skills for Algebra II Advanced Name: Student ID: Algebra II Advanced is a very rigorous and fast-paced course. In order to prepare for the rigor of this course, you will need to be familiar with the topics in this packet prior to starting

More information

due test Prerequisite Skills for Algebra II Advanced

due test Prerequisite Skills for Algebra II Advanced Name: Student ID: Algebra II Advanced is a very rigorous and fast-paced course. In order to prepare for the rigor of this course, you will need to be familiar with the topics in this packet prior to starting

More information

********************************************************************************************************

******************************************************************************************************** QUESTION # 1 1. Let the random variable X represent the number of telephone lines in use by the technical support center of a software manufacturer at noon each day. The probability distribution of X is

More information

Chapter 7 9 Review. Select the letter that corresponds to the best answer.

Chapter 7 9 Review. Select the letter that corresponds to the best answer. AP STATISTICS Chapter 7 9 Review MULTIPLE CHOICE Name: Per: Select the letter that corresponds to the best answer. 1. The correlation between X and Y is r = 0.35. If we double each X value, increase each

More information

Algebra 2 Summer Review Packet

Algebra 2 Summer Review Packet Algebra Summer Review Packet Welcome to Algebra! Attached you will find the learning targets your teacher thinks you should know BEFORE you come to class in the fall and problems to help you practice these

More information

Honors and Regular Algebra II & Trigonometry Summer Packet

Honors and Regular Algebra II & Trigonometry Summer Packet Honors and Regular Algebra II & Trigonometry Summer Packet Hello Students, Parents, and Guardians! I hope everyone is enjoying the summer months and the time to rela and recoup. To add to your summer fun,

More information

ENDURING UNDERSTANDINGS:

ENDURING UNDERSTANDINGS: Daily Learning Plan: Algebra I Part 2 Unit 6: Systems of Equations and Inequalities Day: Date: Topic: ENDURING UNDERSTANDINGS: 1. Recognizing and analyzing simultaneous relationships between two variables

More information

Algebra I Keystone Quiz Linear Inequalities - (A ) Systems Of Inequalities, (A ) Interpret Solutions To Inequality Systems

Algebra I Keystone Quiz Linear Inequalities - (A ) Systems Of Inequalities, (A ) Interpret Solutions To Inequality Systems Algebra I Keystone Quiz Linear Inequalities - (A1.1.3.2.1) Systems Of Inequalities, (A1.1.3.2.2) Interpret Solutions To Inequality Systems 1) Student Name: Teacher Name: Jared George Date: Score: The linear

More information

Math 7 /Unit 5 Practice Test: Statistics

Math 7 /Unit 5 Practice Test: Statistics Math 7 /Unit 5 Practice Test: Statistics Name: Date: Define the terms below and give an example. 1. population 2. random sample 3. interquartile range (IQR) 4. Determine whether each sample is a random

More information

2-5 Solving Equations Containing Integers. Warm Up Problem of the Day Lesson Presentation Lesson Quizzes

2-5 Solving Equations Containing Integers. Warm Up Problem of the Day Lesson Presentation Lesson Quizzes Warm Up Problem of the Day Lesson Presentation Lesson Quizzes Warm Up Use mental math to find each solution. 1. 7 + y = 15 2. x 9 = 9 3. 6x = 24 4. x 12 = 30 Problem of the Day Zelda sold her wet suit

More information

Chapter (7) Continuous Probability Distributions Examples Normal probability distribution

Chapter (7) Continuous Probability Distributions Examples Normal probability distribution Chapter (7) Continuous robability Distributions Examples Normal probability distribution Example () How to find the area under the normal curve? If 50 Find & 6 60.8 50 X 60.8 6 0.8 p 6 0.5 0.464 0.964.8

More information

Fall 2014 October 1, 2014 MATH-333 (Common Exam. #1)

Fall 2014 October 1, 2014 MATH-333 (Common Exam. #1) Fall 2014 October 1, 2014 MATH-333 (Common Exam. #1) NJIT Q. # 1 #2 #3 #4 #5 Total 20 20 20 20 20 100 Name (PRINT) Section # Last First xxx Instructors: Egbert Ammicht, George Mytalas, Padma Natarajan,

More information

Accelerated CP Geometry Summer Packet

Accelerated CP Geometry Summer Packet Accelerated CP Geometry Summer Packet The math teachers at Cherry Creek High School want each student to be successful, no matter which level or math course the student is in. We know that it is critical

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

IB MATH SL Test Review 2.1

IB MATH SL Test Review 2.1 Name IB MATH SL Test Review 2.1 Date 1. A student measured the diameters of 80 snail shells. His results are shown in the following cumulative frequency graph. The lower quartile (LQ) is 14 mm and is marked

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

3, 4.35, 11, 11.51, 2, 44, 2.64, 18

3, 4.35, 11, 11.51, 2, 44, 2.64, 18 Integrated Math Q2- Test 2 Review 1. What is the mean of the following set of numbers? [Round the answer to the hundredths place if needed.] 44 3 13.79 12.06 3, 4.35, 11, 11.51, 2, 44, 2.64, 18 2. The

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

Prentice Hall Stats: Modeling the World 2004 (Bock) Correlated to: National Advanced Placement (AP) Statistics Course Outline (Grades 9-12)

Prentice Hall Stats: Modeling the World 2004 (Bock) Correlated to: National Advanced Placement (AP) Statistics Course Outline (Grades 9-12) National Advanced Placement (AP) Statistics Course Outline (Grades 9-12) Following is an outline of the major topics covered by the AP Statistics Examination. The ordering here is intended to define the

More information

Student Performance Analysis. Algebra I Standards of Learning

Student Performance Analysis. Algebra I Standards of Learning Student Performance Analysis Algebra I Standards of Learning Practice for SOL A.1 Select each phrase that verbally translates this algebraic expression: One fourth times the cube root of x less five. One

More information

Determining the Spread of a Distribution Variance & Standard Deviation

Determining the Spread of a Distribution Variance & Standard Deviation Determining the Spread of a Distribution Variance & Standard Deviation 1.3 Cathy Poliak, Ph.D. cathy@math.uh.edu Department of Mathematics University of Houston Lecture 3 Lecture 3 1 / 32 Outline 1 Describing

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

Math: Question 1 A. 4 B. 5 C. 6 D. 7

Math: Question 1 A. 4 B. 5 C. 6 D. 7 Math: Question 1 Abigail can read 200 words in one minute. If she were to read at this rate for 30 minutes each day, how many days would Abigail take to read 30,000 words of a book? A. 4 B. 5 C. 6 D. 7

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

Name: Class: Date: ID: A. Find the mean, median, and mode of the data set. Round to the nearest tenth. c. mean = 8.2, median = 8, mode =7

Name: Class: Date: ID: A. Find the mean, median, and mode of the data set. Round to the nearest tenth. c. mean = 8.2, median = 8, mode =7 Class: Date: Unit 2 Test Review Find the mean, median, and mode of the data set. Round to the nearest tenth. 1. 4, 7, 8, 15, 1, 7, 8, 14, 7, 15, 4 a. mean = 7.5, median = 7, mode = 7 b. mean = 8.2, median

More information

MATH-A Day 8 - Stats Exam not valid for Paper Pencil Test Sessions

MATH-A Day 8 - Stats Exam not valid for Paper Pencil Test Sessions MATH-A Day 8 - Stats Exam not valid for Paper Pencil Test Sessions [Exam ID:1LCDDJ 1 Karen knows that the z-score for a specific element within a set of data is.97. Karen can conclude that the element

More information

Performance of fourth-grade students on an agility test

Performance of fourth-grade students on an agility test Starter Ch. 5 2005 #1a CW Ch. 4: Regression L1 L2 87 88 84 86 83 73 81 67 78 83 65 80 50 78 78? 93? 86? Create a scatterplot Find the equation of the regression line Predict the scores Chapter 5: Understanding

More information

Data Analysis 4. Summary Stats. General Maths - Preliminary. Name:

Data Analysis 4. Summary Stats. General Maths - Preliminary. Name: Data Analysis 4 Summary Stats General Maths - Preliminary Name: C:\Documents and Settings\tracey_hbutters\Desktop\mathematics\year_levels\math_stage6\General\preliminary\notes\statistics\data4\data_ana

More information

Course ID May 2017 COURSE OUTLINE. Mathematics 130 Elementary & Intermediate Algebra for Statistics

Course ID May 2017 COURSE OUTLINE. Mathematics 130 Elementary & Intermediate Algebra for Statistics Non-Degree Applicable Glendale Community College Course ID 010238 May 2017 Catalog Statement COURSE OUTLINE Mathematics 130 Elementary & Intermediate Algebra for Statistics is a one-semester accelerated

More information

Mourning Sr. High. Algebra II Summer Assignment. 3. If you need help, there are links provided on each page with extra help resources.

Mourning Sr. High. Algebra II Summer Assignment. 3. If you need help, there are links provided on each page with extra help resources. Mourning Sr. High Algebra II Summer Assignment Pre AP Algebra students and Honors Algebra students must complete the entire assignment. Regular Algebra students complete the following: Fractions # s 3

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

Here are some helpful websites you may find useful if your child gets stuck on the summer packet or would like to do some additional work online.

Here are some helpful websites you may find useful if your child gets stuck on the summer packet or would like to do some additional work online. 2015 Mathematics Packet for Rising 7 th Graders In addition, the Middle School Mathematics Department is asking your child to work on the attached summer math review packet. This packet reviews key concepts

More information

S2 QUESTIONS TAKEN FROM JANUARY 2006, JANUARY 2007, JANUARY 2008, JANUARY 2009

S2 QUESTIONS TAKEN FROM JANUARY 2006, JANUARY 2007, JANUARY 2008, JANUARY 2009 S2 QUESTIONS TAKEN FROM JANUARY 2006, JANUARY 2007, JANUARY 2008, JANUARY 2009 SECTION 1 The binomial and Poisson distributions. Students will be expected to use these distributions to model a real-world

More information

TOPIC: Descriptive Statistics Single Variable

TOPIC: Descriptive Statistics Single Variable TOPIC: Descriptive Statistics Single Variable I. Numerical data summary measurements A. Measures of Location. Measures of central tendency Mean; Median; Mode. Quantiles - measures of noncentral tendency

More information

Technology Math Skills Assessment. Practice Test 1

Technology Math Skills Assessment. Practice Test 1 Technology Math Skills Assessment Practice Test . Which of the following is the best description of 3 5 x? a. Monomial b. Binomial c. Polynomial d. Both a and c. Create a table of values for the equation

More information

Congratulations for being placed in the Accelerated CCGPS Analytic Geometry B/Advanced Algebra class for the school year!

Congratulations for being placed in the Accelerated CCGPS Analytic Geometry B/Advanced Algebra class for the school year! May 30, 2014 Dear Accelerated CCGPS Analytic Geometry B/Advanced Algebra Student: Congratulations for being placed in the Accelerated CCGPS Analytic Geometry B/Advanced Algebra class for the 2014-2015

More information

ALGEBRA II 10 th GRADE ACCELERATED STUDENTS 11 TH GRADE STUDENTS

ALGEBRA II 10 th GRADE ACCELERATED STUDENTS 11 TH GRADE STUDENTS ST. KATHARINE DREXEL PREP MATH DEPARTMENT SUMMER MATH PACKET 017 THIS PACKET IS FOR STUDENTS ENTERING: ALGEBRA II th GRADE ACCELERATED STUDENTS 11 TH GRADE STUDENTS DIRECTIONS: IN ORDER TO RECEIVE MAXIMUM

More information

June Dear Future Algebra 2 Trig Student,

June Dear Future Algebra 2 Trig Student, June 016 Dear Future Algebra Trig Student, Welcome to Algebra /Trig! Since we have so very many topics to cover during our 016-17 school year, it is important that each one of you is able to complete these

More information

MHCA Math Summer Packet 2015

MHCA Math Summer Packet 2015 MHCA Math Summer Packet 2015 Directions: For students entering Geometry Honors You are to complete all the problems assigned in this packet by Friday, September 4 th. If you don t turn in your summer packet

More information

Determining the Spread of a Distribution

Determining the Spread of a Distribution Determining the Spread of a Distribution 1.3-1.5 Cathy Poliak, Ph.D. cathy@math.uh.edu Department of Mathematics University of Houston Lecture 3-2311 Lecture 3-2311 1 / 58 Outline 1 Describing Quantitative

More information

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

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

More information

Exam: practice test 1 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Exam: practice test 1 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Exam: practice test MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Solve the problem. ) Using the information in the table on home sale prices in

More information

Determining the Spread of a Distribution

Determining the Spread of a Distribution Determining the Spread of a Distribution 1.3-1.5 Cathy Poliak, Ph.D. cathy@math.uh.edu Department of Mathematics University of Houston Lecture 3-2311 Lecture 3-2311 1 / 58 Outline 1 Describing Quantitative

More information

Intensive Math-Algebra I Mini-Lesson MA.912.A.3.1

Intensive Math-Algebra I Mini-Lesson MA.912.A.3.1 Intensive Math-Algebra I Mini-Lesson MA.912.A.3.1 Summer 2013 Solving Linear Equations Student Packet Day 3 Name: Date: Benchmark MA.912.A.3.1 Solve linear equations in one variable that include simplifying

More information

Q 1 = 23.8 M = Q 3 = 29.8 IQR = 6 The numbers are in order and there are 18 pieces of data so the median is the average of the 9th and 10th

Q 1 = 23.8 M = Q 3 = 29.8 IQR = 6 The numbers are in order and there are 18 pieces of data so the median is the average of the 9th and 10th Sample Exam #1, Math 01 1. Use the data set given below to answer all of the following questions. 14.0, 18.4, 1.6,.1, 3.8, 4.3, 5.9, 6.5, 7.5, 9., 9.3, 9.4, 9.7, 9.8, 30., 30.8, 31.9, 33.5 HaL Use the

More information

Lesson 5: Measuring Variability for Symmetrical Distributions

Lesson 5: Measuring Variability for Symmetrical Distributions 1. : Measuring Variability for Symmetrical Distributions Student Outcomes Students calculate the standard deviation for a set of data. Students interpret the standard deviation as a typical distance from

More information

Algebra 2/Trig: Chapter 15 Statistics In this unit, we will

Algebra 2/Trig: Chapter 15 Statistics In this unit, we will Algebra 2/Trig: Chapter 15 Statistics In this unit, we will Find sums expressed in summation notation Determine measures of central tendency Use a normal distribution curve to determine theoretical percentages

More information

Glades Middle School Summer Math Program

Glades Middle School Summer Math Program Summer Math Program Attention Cougars, It s time for SUMMER MATH!! Research studies have shown that during an extended summer vacation, children can lose an average of 2.6 months of knowledge. This is

More information

1. A machine produces packets of sugar. The weights in grams of thirty packets chosen at random are shown below.

1. A machine produces packets of sugar. The weights in grams of thirty packets chosen at random are shown below. No Gdc 1. A machine produces packets of sugar. The weights in grams of thirty packets chosen at random are shown below. Weight (g) 9.6 9.7 9.8 9.9 30.0 30.1 30. 30.3 Frequency 3 4 5 7 5 3 1 Find unbiased

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

EDEXCEL S2 PAPERS MARK SCHEMES AVAILABLE AT:

EDEXCEL S2 PAPERS MARK SCHEMES AVAILABLE AT: EDEXCEL S2 PAPERS 2009-2007. MARK SCHEMES AVAILABLE AT: http://www.physicsandmathstutor.com/a-level-maths-papers/s2-edexcel/ JUNE 2009 1. A bag contains a large number of counters of which 15% are coloured

More information

Bivariate data data from two variables e.g. Maths test results and English test results. Interpolate estimate a value between two known values.

Bivariate data data from two variables e.g. Maths test results and English test results. Interpolate estimate a value between two known values. Key words: Bivariate data data from two variables e.g. Maths test results and English test results Interpolate estimate a value between two known values. Extrapolate find a value by following a pattern

More information

Pre-Calculus Summer Homework

Pre-Calculus Summer Homework Pre-Calculus Summer Homework In an effort to use less paper, the math department will not be printing off your summer homework. You can go to the homework websites of Mr. Coulson, Mrs. Hopkins, and Mr.

More information

2016 ALGEBRA 2 HONORS SUMMER PACKET

2016 ALGEBRA 2 HONORS SUMMER PACKET 016 ALGEBRA HONORS SUMMER PACKET NORTH PLAINFIELD HIGH SCHOOL YOUR NAME: GRADE: (% complete! % correct) = DEAR STUDENT, The purpose of the summer packet is to make sure you are prepared with the pre-requisite

More information

8 th Grade Algebra 5 Day Lesson Plan. *Computer* *Pan Scale* *Algebra Tiles* *Equation Mat* *TI-83 Plus/ TI-73* Karen Kmiotek

8 th Grade Algebra 5 Day Lesson Plan. *Computer* *Pan Scale* *Algebra Tiles* *Equation Mat* *TI-83 Plus/ TI-73* Karen Kmiotek 8 th Grade Algebra 5 Day Lesson Plan *Computer* *Pan Scale* *Algebra Tiles* *Equation Mat* *TI-83 Plus/ TI-73* Karen Kmiotek Objectives Students will be able to solve equations by using algebra and the

More information

Using number strategies to solve equations with whole numbers

Using number strategies to solve equations with whole numbers Using number strategies to solve equations with whole numbers Strategic solving Part I I am learning to use number strategies to solve equations with whole numbers. AC EA AA AM AP Exercise 1 What else

More information

National 5 Portfolio Applications Standard Deviation and Scattergraphs

National 5 Portfolio Applications Standard Deviation and Scattergraphs National 5 Portfolio Applications 1.4 - Standard Deviation and Scattergraphs N5 Section A - Revision This section will help you revise previous learning which is required in this topic. R1 I can calculate

More information

Dear Sixth Grade Parents and Guardians,

Dear Sixth Grade Parents and Guardians, Dear Sith Grade Parents and Guardians, For middle school students, summer is all about getting rest, eploring new places and enjoying time with family and friends. At the same time, students need to feed

More information

Wahkiakum School District, Pre-EOC Algebra

Wahkiakum School District, Pre-EOC Algebra Pre-EOC Assessment Algebra1 #2 Wahkiakum School District ALG1 Page 1 1. Order the following numbers from least to greatest: a. 19 2, 3π, 8.7 100, 62 3π, 62, 8.7 10 0, 19 2 b. 62, 8.7 10 0, 3π, 19 2 c.

More information

Prof. Bodrero s Guide to Derivatives of Trig Functions (Sec. 3.5) Name:

Prof. Bodrero s Guide to Derivatives of Trig Functions (Sec. 3.5) Name: Prof. Bodrero s Guide to Derivatives of Trig Functions (Sec. 3.5) Name: Objectives: Understand how the derivatives of the six basic trig functions are found. Be able to find the derivative for each of

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 227 CP 7 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

MATH 227 CP 7 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. MATH 227 CP 7 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Find the mean, µ, for the binomial distribution which has the stated values of n and p.

More information

Sem. 1 Review Ch. 1-3

Sem. 1 Review Ch. 1-3 AP Stats Sem. 1 Review Ch. 1-3 Name 1. You measure the age, marital status and earned income of an SRS of 1463 women. The number and type of variables you have measured is a. 1463; all quantitative. b.

More information

Algebra 1. Statistics and the Number System Day 3

Algebra 1. Statistics and the Number System Day 3 Algebra 1 Statistics and the Number System Day 3 MAFS.912. N-RN.1.2 Which expression is equivalent to 5 m A. m 1 5 B. m 5 C. m 1 5 D. m 5 A MAFS.912. N-RN.1.2 Which expression is equivalent to 5 3 g A.

More information

Paper Reference. Statistics S1 Advanced/Advanced Subsidiary. Friday 5 June 2015 Morning Time: 1 hour 30 minutes

Paper Reference. Statistics S1 Advanced/Advanced Subsidiary. Friday 5 June 2015 Morning Time: 1 hour 30 minutes Centre No. Candidate No. Paper Reference(s) 6683/01 Edexcel GCE Statistics S1 Advanced/Advanced Subsidiary Friday 5 June 2015 Morning Time: 1 hour 30 minutes Materials required for examination Mathematical

More information

Accelerated Geometry/Algebra 2 Summer Math Packet. Student Information Page

Accelerated Geometry/Algebra 2 Summer Math Packet. Student Information Page Student Information Page We re so proud of you for taking the time to work on math over the summer! Here are some helpful hints for success: It s ok to have parents and other adults help you! Find a quiet

More information

MATHS. Year 10 to 11 revision Summer Use this booklet to help you prepare for your first PR in Year 11. Set 1

MATHS. Year 10 to 11 revision Summer Use this booklet to help you prepare for your first PR in Year 11. Set 1 MATHS Year 10 to 11 revision Summer 2018 Use this booklet to help you prepare for your first PR in Year 11. Set 1 Name Maths group 1 Cumulative frequency Use a running total adding on to complete the cumulative

More information

Algebra 2 Level 2 Summer Packet

Algebra 2 Level 2 Summer Packet Algebra Level Summer Packet This summer packet is for students entering Algebra Level for the Fall of 01. The material contained in this packet represents Algebra 1 skills, procedures and concepts that

More information

Chapter (7) Continuous Probability Distributions Examples

Chapter (7) Continuous Probability Distributions Examples Chapter (7) Continuous Probability Distributions Examples The uniform distribution Example () Australian sheepdogs have a relatively short life.the length of their life follows a uniform distribution between

More information

S.ID.C.8: Correlation Coefficient

S.ID.C.8: Correlation Coefficient S.ID.C.8: Correlation Coefficient 1 Which statement regarding correlation is not true? 1) The closer the absolute value of the correlation coefficient is to one, the closer the data conform to a line.

More information

This is a review packet for the entire fall semester of Algebra I at Harrison.

This is a review packet for the entire fall semester of Algebra I at Harrison. HARRISON HIGH SCHOOL ALGEBRA I Fall Semester Review Packet This is a review packet for the entire fall semester of Algebra I at Harrison. You are receiving it now so that: you will have plenty of time

More information

ALGEBRA I END-OF-COURSE EXAM: PRACTICE TEST

ALGEBRA I END-OF-COURSE EXAM: PRACTICE TEST Page 1 ALGEBRA I END-OF-COURSE EXAM: PRACTICE TEST 1. Order the following numbers from least to greatest:, 6, 8.7 10 0, 19 b. 19,, 8.7 100, 6 6, 8.7 10 0,, 19 c. d. 8.7 10 0,, 19, 6, 6, 19, 8.7 100. If

More information

q3_3 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

q3_3 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. q3_3 MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) In 2007, the number of wins had a mean of 81.79 with a standard

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

Summer Review Packet for Students Entering Honors Algebra (9-4) in September

Summer Review Packet for Students Entering Honors Algebra (9-4) in September Page 1 of 14 Summer Review Packet for Students Entering Honors Algebra (9-4) in September Introduction The learning objectives and sample problems that follow were adapted from the Honors 8th grade math

More information

Section 2.2 Objectives

Section 2.2 Objectives Section 2.2 Objectives Solve multi-step equations using algebra properties of equality. Solve equations that have no solution and equations that have infinitely many solutions. Solve equations with rational

More information

PhysicsAndMathsTutor.com

PhysicsAndMathsTutor.com PhysicsAndMathsTutor.com June 2005 3. The random variable X is the number of misprints per page in the first draft of a novel. (a) State two conditions under which a Poisson distribution is a suitable

More information

Algebra 2 (All Levels)

Algebra 2 (All Levels) Algebra (All evels) Summer 0 Review Packet AKEAND REGINA HIGH SCH MATH DEPARTMENT This review packet is worth 0 points on our st marking period grade! It contains concepts which ou have previousl mastered

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

Math 074 Final Exam Review. REVIEW FOR NO CALCULATOR PART OF THE EXAM (Questions 1-14)

Math 074 Final Exam Review. REVIEW FOR NO CALCULATOR PART OF THE EXAM (Questions 1-14) Math 074 Final Exam Review REVIEW FOR NO CALCULATOR PART OF THE EXAM (Questions -4) I. Can you add, subtract, multiply and divide fractions and mixed numbers?. Perform the indicated operations. Be sure

More information

Recap: Ø Distribution Shape Ø Mean, Median, Mode Ø Standard Deviations

Recap: Ø Distribution Shape Ø Mean, Median, Mode Ø Standard Deviations DAY 4 16 Jan 2014 Recap: Ø Distribution Shape Ø Mean, Median, Mode Ø Standard Deviations Two Important Three-Standard-Deviation Rules 1. Chebychev s Rule : Implies that at least 89% of the observations

More information

Part 1 will be selected response. Each selected response item will have 3 or 4 choices.

Part 1 will be selected response. Each selected response item will have 3 or 4 choices. Items on this review are grouped by Unit and Topic. A calculator is permitted on the Algebra 1 A Semester Exam. The Algebra 1 A Semester Exam will consist of two parts. Part 1 will be selected response.

More information

Chapter 7. Linear Regression (Pt. 1) 7.1 Introduction. 7.2 The Least-Squares Regression Line

Chapter 7. Linear Regression (Pt. 1) 7.1 Introduction. 7.2 The Least-Squares Regression Line Chapter 7 Linear Regression (Pt. 1) 7.1 Introduction Recall that r, the correlation coefficient, measures the linear association between two quantitative variables. Linear regression is the method of fitting

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

Advanced Honors and Honors Integrated Math 1 Summer Packet

Advanced Honors and Honors Integrated Math 1 Summer Packet Advanced Honors and Honors Integrated Math 1 Summer Packet This packet is designed to help you review skills from 8 th grade as well as preview additional skills not learned in 8 th grade that you will

More information

Math 138 Summer Section 412- Unit Test 1 Green Form, page 1 of 7

Math 138 Summer Section 412- Unit Test 1 Green Form, page 1 of 7 Math 138 Summer 1 2013 Section 412- Unit Test 1 Green Form page 1 of 7 1. Multiple Choice. Please circle your answer. Each question is worth 3 points. (a) Social Security Numbers are illustrations of which

More information

Quantitative Tools for Research

Quantitative Tools for Research Quantitative Tools for Research KASHIF QADRI Descriptive Analysis Lecture Week 4 1 Overview Measurement of Central Tendency / Location Mean, Median & Mode Quantiles (Quartiles, Deciles, Percentiles) Measurement

More information

Chapter 3 Probability Distributions and Statistics Section 3.1 Random Variables and Histograms

Chapter 3 Probability Distributions and Statistics Section 3.1 Random Variables and Histograms Math 166 (c)2013 Epstein Chapter 3 Page 1 Chapter 3 Probability Distributions and Statistics Section 3.1 Random Variables and Histograms The value of the result of the probability experiment is called

More information