AP Statistics Chapter 7 Multiple Choice Test
|
|
- Poppy O’Neal’
- 6 years ago
- Views:
Transcription
1 Class: Date: AP Statistics Chapter 7 Multiple Choice Test Multiple Choice Identify the choice that best completes the statement or answers the question. 1. The central limit theorem refers to which of the following characteristic of the sampling distribution of the sample mean? A. Regardless of the shape of the population s distribution, the sampling distribution of the sample mean from sufficiently large samples will be approximately Normally distributed. B. Regardless of the shape of the population s distribution, the standard deviation of the sampling distribution of the sample mean from sufficiently large samples will be. C. Regardless of the shape of the population s distribution, the mean of the sampling distribution of the sample mean from sufficiently large samples will be equal to the mean of the population. D. As you take larger and larger samples from a Normally distributed population, the standard deviation of the sampling distribution of the sample mean gets smaller and smaller. E. As you take larger and larger samples from a Normally distributed population, the mean of the sampling distribution of the sample mean gets closer and closer to the population mean. 2. A survey conducted by Black Flag asked whether or not the action of a certain type of roach disk was effective in killing roaches. 79% of the respondents agreed that the roach disk was effective. The number 79% is a A. parameter. D. sample. B. population. E. sampling distribution. C. statistic. 3. The variability of a statistic is described by A. the spread of its sampling distribution. B. the amount of bias present. C. the vagueness in the wording of the question used to collect the sample data. D. probability calculations. E. the stability of the population it describes. 4. If we take many simple random samples from the same population, we expect A. the same values of the statistic for each sample B. the values of the statistic will vary from sample to sample C. a different value of the parameter for each sample D. a problem with voluntary response E. a problem with bias 5. To reduce the variability of estimates from a simple random sample, you should A. use a smaller sample. D. use a larger sample. B. increase the bias. E. use a percent, not a count. C. use a count, not a percent. 1
2 6. Following a dramatic drop of 500 points in the Dow Jones Industrial Average in September 1998, a poll conducted for the Associated Press found that 92% of those polled said that a year from now their family financial situation will be as good as it is today or better. Which of the following terms describes the number 92%? A. statistic. D. population parameter. B. sample. E. population. C. sample parameter. 7. What is distribution of values taken by a statistic in all possible samples of the same size from the same population called? A. the probability that the statistic is obtained. B. the population parameter. C. the variance of the values. D. the sampling distribution of the statistic. E. the distribution of sample data. 8. Suppose you take a random sample of size 25 from a population with mean of 120 and a standard deviation of 15. Your sample has a mean of 115 and a standard deviation of Which of the following has a mean of 120 and a standard deviation of 3? A. the distribution of the population B. the distribution of the sample data. C. the sampling distribution of the sample mean. D. the sampling distribution of the population mean. E. No important distribution related to this situation has the given mean and standard deviation. 9. In order to use the formula to calculate the standard deviation of the sampling distribution of the sample mean, which of the following conditions must be met? I. II. The population s distribution is approximately Normal. III. The sample size is less than 10% of the population size. A. I only B. II only C. III only D. III and either I or II E. All three conditions must be met. 10. Which of the following distributions has a mean that varies from sample to sample? I. The population distribution II. The distribution of sample data III. The sampling distribution A. I only D. II and III B. II only E. all three distributions C. III only 2
3 11. Suppose that in a random sample of size 100, the standard deviation of the sampling distribution of the sample proportion is If a researcher wanted to reduce the standard deviation to 0.04, what sample size would be required? A. 100 B. 200 C. 400 D. 800 E A simple random sample of 1000 Americans found that 62% were satisfied with the service provided by the dealer from which they bought their car. A simple random sample of 1000 Canadians found that 59% were satisfied with the service provided by the dealer from which they bought their car. The sampling variability associated with these statistics is A. exactly the same. B. not exactly the same, but very close. C. much smaller for the sample of Canadians because the population of Canada is much smaller than that of the United States, hence the sample is a larger proportion of the population. D. smaller for the sample of Canadians because the percent satisfied was smaller than that for the Americans. E. larger for the Canadians because Canadian citizens are more widely dispersed throughout the country than are citizens in the United States, hence they have more variable views. 13. In a large population, 46% of the households own DVD recorders. A simple random sample of 100 households from this population is to be contacted and the sample proportion computed. Which of the following expressions represents the probability that more than half the households sampled will own a DVD recorder? A. D. B. E. C. 14. A statistic is said to be unbiased if A. the survey used to obtain the statistic was designed so as to avoid even the hint of racial or sexual prejudice. B. the mean of its sampling distribution is equal to the true value of the parameter being estimated. C. both the person who calculated the statistic and the subjects whose responses make up the statistic were truthful. D. the value from any sample is equal to the parameter being estimated. E. it is used for honest purposes only. 3
4 15. The chipmunk population in a certain area is known to have a mean weight of 84 gm and a standard deviation of 18 gm. A wildlife biologist weighs 9 chipmunks that have been caught in live traps before releasing them. Which of the following best describes what we know about the sampling distribution of means for the biologist s sample? A. distribution approximately Normal B. shape of distribution unknown C. distribution approximately Normal D. unknown; distribution approximately Normal E. unknown; shape of distribution unknown 16. A census of the labor force in a large metropolitan area found that the time it takes for people to commute to work has a mean of 20.5 minutes and a standard deviation of 15.4 minutes. What is the probability that a random sample of 40 people have a mean commute time that is greater than 25 minutes? A. C. E. B. D. 17. Which of the following is not a random variable? A. The number of heads in ten tosses of a fair coin. B. The number of passengers in cars passing though a toll booth. C. The age of the driver in cars passing through a toll booth. D. The response of randomly-selected people to the question, Did you eat breakfast this morning? E. The response of randomly-selected people to the question, How many hours of sleep did you get last night? Scenario 6-3 In a population of students, the number of calculators a student owns is a random variable X described by the following probability distribution: X P(X) Use Scenario 6-3. Which of the following is the mean of X? A. 0.5 D. 2 B. 1 E. Need more information. C
5 19. Use Scenario 6-3. Which of the following is the standard deviation of X? A. 1 C E. Cannot be computed. B D The mp3 music files on Sharon s computer have a mean size of 4.0 megabytes and a standard deviation of 1.8 megabytes. She wants to create a mix of 10 of the songs for a friend. Let the random variable T = the total size (in megabytes) for 10 randomly selected songs from Sharon s computer. What is the expected value of T? A. 4.0 B. 7.2 C D E What is the standard deviation of T? (Assume the lengths of songs are independent.) A B C D E There are twenty multiple-choice questions on an exam, each having responses a, b, c, or d. Each question is worth five points and only one option per question is correct. Suppose the student guesses the answer to each question, and the guesses from question to question are independent. The distribution of X = the number of questions the student will get correct, is A. binomial, n = 5, and p = 0.2. D. binomial, n = 4 and p = B. binomial, n = 20, and p = E. none of these. C. binomial, n = 5 and p = Using the same scneario as the last question, which of the following expresses the probability that the student gets no questions correct? A. C. E. B. D. 24. A poll shows that 60% of the adults in a large town are registered Democrats. A newspaper reporter wants to interview a local democrat regarding a recent decision by the City Council. On average, how many people will the reporter have to stop before he finds his first Democrat? A. 1 B C D. 2 E Using the same scenario as the last question, if the reporter asks adults on the street at random, what is the probability that he will find a Democrat by the time he has stopped three people? A B C D E
AP Stats MOCK Chapter 7 Test MC
Name: Class: Date: AP Stats MOCK Chapter 7 Test MC Multiple Choice-13 questions Identify the choice that best completes the statement or answers the question. 1. A survey conducted by Black Flag asked
More informationAP Statistics Review Ch. 7
AP Statistics Review Ch. 7 Name 1. Which of the following best describes what is meant by the term sampling variability? A. There are many different methods for selecting a sample. B. Two different samples
More informationAP Online Quiz KEY Chapter 7: Sampling Distributions
AP Online Quiz KEY Chapter 7: Sampling Distributions 1. A news website claims that 30% of all Major League Baseball players use performanceenhancing drugs ( PEDs ) Indignant at this claim, league officials
More information(A) Incorrect! A parameter is a number that describes the population. (C) Incorrect! In a Random Sample, not just a sample.
AP Statistics - Problem Drill 15: Sampling Distributions No. 1 of 10 Instructions: (1) Read the problem statement and answer choices carefully (2) Work the problems on paper 1. Which one of the following
More informationProblems for Chapter 15: Sampling Distributions. STAT Fall 2015.
We are interested in samples in order to draw conclusions about wider group of individuals population. Def. A parameter in a statistical problem is a number that describes a population, such as the population
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
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 informationAP Statistics Ch 12 Inference for Proportions
Ch 12.1 Inference for a Population Proportion Conditions for Inference The statistic that estimates the parameter p (population proportion) is the sample proportion p ˆ. p ˆ = Count of successes in the
More informationChapter Goals. To introduce you to data collection
Chapter Goals To introduce you to data collection You will learn to think critically about the data collected or presented learn various methods for selecting a sample Formulate Theories Interpret Results/Make
More informationExample. If 4 tickets are drawn with replacement from ,
Example. If 4 tickets are drawn with replacement from 1 2 2 4 6, what are the chances that we observe exactly two 2 s? Exactly two 2 s in a sequence of four draws can occur in many ways. For example, (
More information2014 SM4 Revision Questions Distributions
2014 SM4 Revision Questions Distributions Normal Q1. Professor Halen has 184 students in his college mathematics class. The scores on the semester exam are normally distributed with a mean of 72.3 and
More informationChapter 10: Comparing Two Populations or Groups
Chapter 10: Comparing Two Populations or Groups Sectio0.1 The Practice of Statistics, 4 th edition For AP* STARNES, YATES, MOORE Chapter 10 Comparing Two Populations or Groups 10.1 10.2 Comparing Two Means
More informationIntroduction to Probability, Fall 2009
Introduction to Probability, Fall 2009 Math 30530 Review questions for exam 1 solutions 1. Let A, B and C be events. Some of the following statements are always true, and some are not. For those that are
More informationMTH4451Test#2-Solutions Spring 2009
Pat Rossi Instructions. MTH4451Test#2-Solutions Spring 2009 Name Show CLEARLY how you arrive at your answers. 1. A large jar contains US coins. In this jar, there are 350 pennies ($0.01), 300 nickels ($0.05),
More informationSampling Distributions. Introduction to Inference
Sampling Distributions Introduction to Inference Parameter A parameter is a number that describes the population. A parameter always exists but in practice we rarely know it s value because we cannot examine
More informationan event with one outcome is called a simple event.
Ch5Probability Probability is a measure of the likelihood of a random phenomenon or chance behavior. Probability describes the long-term proportion with which a certain outcome will occur in situations
More informationDistribusi Binomial, Poisson, dan Hipergeometrik
Distribusi Binomial, Poisson, dan Hipergeometrik CHAPTER TOPICS The Probability of a Discrete Random Variable Covariance and Its Applications in Finance Binomial Distribution Poisson Distribution Hypergeometric
More information7.1: What is a Sampling Distribution?!?!
7.1: What is a Sampling Distribution?!?! Section 7.1 What Is a Sampling Distribution? After this section, you should be able to DISTINGUISH between a parameter and a statistic DEFINE sampling distribution
More informationSTAT 516 Midterm Exam 2 Friday, March 7, 2008
STAT 516 Midterm Exam 2 Friday, March 7, 2008 Name Purdue student ID (10 digits) 1. The testing booklet contains 8 questions. 2. Permitted Texas Instruments calculators: BA-35 BA II Plus BA II Plus Professional
More informationMock Exam - 2 hours - use of basic (non-programmable) calculator is allowed - all exercises carry the same marks - exam is strictly individual
Mock Exam - 2 hours - use of basic (non-programmable) calculator is allowed - all exercises carry the same marks - exam is strictly individual Question 1. Suppose you want to estimate the percentage of
More informationAP Statistics - Chapter 7 notes
AP Statistics - Chapter 7 notes Day 1: 7.1 Sampling Distributions Read 416 417 What is a parameter? What is a statistic? How is one related to the other? Alternate Example: Identify the population, the
More informationName: 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 informationUnit 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 informationUNIVERSITY OF TORONTO MISSISSAUGA. SOC222 Measuring Society In-Class Test. November 11, 2011 Duration 11:15a.m. 13 :00p.m.
UNIVERSITY OF TORONTO MISSISSAUGA SOC222 Measuring Society In-Class Test November 11, 2011 Duration 11:15a.m. 13 :00p.m. Location: DV2074 Aids Allowed You may be charged with an academic offence for possessing
More informationCh7 Sampling Distributions
AP Statistics Name: Per: Date: Ch7 Sampling Distributions 7.1 What Is a Sampling Distribution? Read 424 425 Parameters and Statistics Vocab: parameter, statistic How is one related to the other? Alternate
More informationMath st Homework. First part of Chapter 2. Due Friday, September 17, 1999.
Math 447. 1st Homework. First part of Chapter 2. Due Friday, September 17, 1999. 1. How many different seven place license plates are possible if the first 3 places are to be occupied by letters and the
More informationChapter 6 Continuous Probability Distributions
Continuous Probability Distributions Learning Objectives 1. Understand the difference between how probabilities are computed for discrete and continuous random variables. 2. Know how to compute probability
More informationMidterm Exam 1 Solution
EECS 126 Probability and Random Processes University of California, Berkeley: Fall 2015 Kannan Ramchandran September 22, 2015 Midterm Exam 1 Solution Last name First name SID Name of student on your left:
More informationData Collection. Lecture Notes in Transportation Systems Engineering. Prof. Tom V. Mathew. 1 Overview 1
Data Collection Lecture Notes in Transportation Systems Engineering Prof. Tom V. Mathew Contents 1 Overview 1 2 Survey design 2 2.1 Information needed................................. 2 2.2 Study area.....................................
More informationPractice Questions: Statistics W1111, Fall Solutions
Practice Questions: Statistics W, Fall 9 Solutions Question.. The standard deviation of Z is 89... P(=6) =..3. is definitely inside of a 95% confidence interval for..4. (a) YES (b) YES (c) NO (d) NO Questions
More informationTypical information required from the data collection can be grouped into four categories, enumerated as below.
Chapter 6 Data Collection 6.1 Overview The four-stage modeling, an important tool for forecasting future demand and performance of a transportation system, was developed for evaluating large-scale infrastructure
More informationWhat is a parameter? What is a statistic? How is one related to the other?
7.1 Sampling Distributions Read 424 425 What is a parameter? What is a statistic? How is one related to the other? Alternate Example: Identify the population, the parameter, the sample, and the statistic:
More informationBernoulli Trials, Binomial and Cumulative Distributions
Bernoulli Trials, Binomial and Cumulative Distributions Sec 4.4-4.6 Cathy Poliak, Ph.D. cathy@math.uh.edu Office in Fleming 11c Department of Mathematics University of Houston Lecture 9-3339 Cathy Poliak,
More informationConditional Probability (cont'd)
Conditional Probability (cont'd) April 26, 2006 Conditional Probability (cont'd) Midterm Problems In a ten-question true-false exam, nd the probability that a student get a grade of 70 percent or better
More informationFor use only in [the name of your school] 2014 S4 Note. S4 Notes (Edexcel)
s (Edexcel) Copyright www.pgmaths.co.uk - For AS, A2 notes and IGCSE / GCSE worksheets 1 Copyright www.pgmaths.co.uk - For AS, A2 notes and IGCSE / GCSE worksheets 2 Copyright www.pgmaths.co.uk - For AS,
More informationStat 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 informationWhat is a parameter? What is a statistic? How is one related to the other?
Chapter Seven: SAMPLING DISTRIBUTIONS 7.1 Sampling Distributions Read 424 425 What is a parameter? What is a statistic? How is one related to the other? Example: Identify the population, the parameter,
More informationChapter 6. Estimates and Sample Sizes
Chapter 6 Estimates and Sample Sizes Lesson 6-1/6-, Part 1 Estimating a Population Proportion This chapter begins the beginning of inferential statistics. There are two major applications of inferential
More informationSTAT/SOC/CSSS 221 Statistical Concepts and Methods for the Social Sciences. Random Variables
STAT/SOC/CSSS 221 Statistical Concepts and Methods for the Social Sciences Random Variables Christopher Adolph Department of Political Science and Center for Statistics and the Social Sciences University
More informationELEG 3143 Probability & Stochastic Process Ch. 2 Discrete Random Variables
Department of Electrical Engineering University of Arkansas ELEG 3143 Probability & Stochastic Process Ch. 2 Discrete Random Variables Dr. Jingxian Wu wuj@uark.edu OUTLINE 2 Random Variable Discrete Random
More informationMapping Accessibility Over Time
Journal of Maps, 2006, 76-87 Mapping Accessibility Over Time AHMED EL-GENEIDY and DAVID LEVINSON University of Minnesota, 500 Pillsbury Drive S.E., Minneapolis, MN 55455, USA; geneidy@umn.edu (Received
More informationProbabilities and distributions
Appendix B Probabilities and distributions B.1 Expectation value and variance Definition B.1. Suppose a (not necessarily quantum) experiment to measure a quantity Q can yield any one of N possible outcomes
More informationDiscrete Probability Distributions
Discrete Probability Distributions Chapter 06 McGraw-Hill/Irwin Copyright 2013 by The McGraw-Hill Companies, Inc. All rights reserved. LEARNING OBJECTIVES LO 6-1 Identify the characteristics of a probability
More informationMean/Average Median Mode Range
Normal Curves Today s Goals Normal curves! Before this we need a basic review of statistical terms. I mean basic as in underlying, not easy. We will learn how to retrieve statistical data from normal curves.
More informationMath II Final Exam Question Bank Fall 2016
Math II Final Exam Question Bank Fall 2016 Name: Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Which figure shows the flag on the left after it has been
More informationIM3 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 informationSTA 291 Lecture 16. Normal distributions: ( mean and SD ) use table or web page. The sampling distribution of and are both (approximately) normal
STA 291 Lecture 16 Normal distributions: ( mean and SD ) use table or web page. The sampling distribution of and are both (approximately) normal X STA 291 - Lecture 16 1 Sampling Distributions Sampling
More informationTutorial 3 - Discrete Probability Distributions
Tutorial 3 - Discrete Probability Distributions 1. If X ~ Bin(6, ), find (a) P(X = 4) (b) P(X 2) 2. If X ~ Bin(8, 0.4), find (a) P(X = 2) (b) P(X = 0) (c)p(x > 6) 3. The probability that a pen drawn at
More informationChapter (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 informationThe variable θ is called the parameter of the model, and the set Ω is called the parameter space.
Lecture 8 What is a statistical model? A statistical model for some data is a set of distributions, one of which corresponds to the true unknown distribution that produced the data. The variable θ is called
More informationMargin of Error. What is margin of error and why does it exist?
Trig Honors Margin of Error Name: What is margin of error and why does it exist? Thanks to a network of GEO stationary and polar orbiting satellites providing better data, faster supercomputers, and improved
More informationDiscrete Distributions
Discrete Distributions Applications of the Binomial Distribution A manufacturing plant labels items as either defective or acceptable A firm bidding for contracts will either get a contract or not A marketing
More informationTest 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 informationBernoulli Trials and Binomial Distribution
Bernoulli Trials and Binomial Distribution Sec 4.4-4.5 Cathy Poliak, Ph.D. cathy@math.uh.edu Office in Fleming 11c Department of Mathematics University of Houston Lecture 10-3339 Cathy Poliak, Ph.D. cathy@math.uh.edu
More informationData Presentation. Naureen Ghani. May 4, 2018
Data Presentation Naureen Ghani May 4, 2018 Data is only as good as how it is presented. How do you take hundreds or thousands of data points and create something a human can understand? This is a problem
More informationLC 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 informationMath 243 Section 3.1 Introduction to Probability Lab
Math 243 Section 3.1 Introduction to Probability Lab Overview Why Study Probability? Outcomes, Events, Sample Space, Trials Probabilities and Complements (not) Theoretical vs. Empirical Probability The
More informationSTAT/MA 416 Midterm Exam 3 Monday, November 19, Circle the section you are enrolled in:
STAT/MA 46 Midterm Exam 3 Monday, November 9, 27 Name Purdue student ID ( digits) Circle the section you are enrolled in: STAT/MA 46-- STAT/MA 46-2- 9: AM :5 AM 3: PM 4:5 PM REC 4 UNIV 23. The testing
More informationSalt Lake Community College MATH 1040 Final Exam Fall Semester 2011 Form E
Salt Lake Community College MATH 1040 Final Exam Fall Semester 011 Form E Name Instructor Time Limit: 10 minutes Any hand-held calculator may be used. Computers, cell phones, or other communication devices
More informationObjective: To draw about population parameters on the basis of information.
Topic 1 --- page 1 Topic 1: Sampling and Sampling Distributions Chapter 7: Sections 7.1-7.6, 7.8, and 7.9 Objective: To draw about population parameters on the basis of information. In Economics 245 (Descriptive
More informationSampling Distribution Models. Chapter 17
Sampling Distribution Models Chapter 17 Objectives: 1. Sampling Distribution Model 2. Sampling Variability (sampling error) 3. Sampling Distribution Model for a Proportion 4. Central Limit Theorem 5. Sampling
More informationOccupy movement - Duke edition. Lecture 14: Large sample inference for proportions. Exploratory analysis. Another poll on the movement
Occupy movement - Duke edition Lecture 14: Large sample inference for proportions Statistics 101 Mine Çetinkaya-Rundel October 20, 2011 On Tuesday we asked you about how closely you re following the news
More informationThe remains of the course
Math 10A November 30, 2017 This is the end This is the last week of classes. This is the last class. You may see Kate taking a few photos during this class. When we re through talking, we can line up on
More informationBernoulli Trials and Binomial Distribution
Bernoulli Trials and Binomial Distribution Sec 4.4-4.5 Cathy Poliak, Ph.D. cathy@math.uh.edu Office in Fleming 11c Department of Mathematics University of Houston Lecture 9-3339 Cathy Poliak, Ph.D. cathy@math.uh.edu
More informationChapter 3: Probability 3.1: Basic Concepts of Probability
Chapter 3: Probability 3.1: Basic Concepts of Probability Objectives Identify the sample space of a probability experiment and a simple event Use the Fundamental Counting Principle Distinguish classical
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
MGF 1106 Exam #2 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Solve the problem. 1) Six students, A, B, C, D, E, F, are to give speeches to
More informationChapter 6 Continuous Probability Distributions
Math 3 Chapter 6 Continuous Probability Distributions The observations generated by different statistical experiments have the same general type of behavior. The followings are the probability distributions
More informationMath 10 - Compilation of Sample Exam Questions + Answers
Math 10 - Compilation of Sample Exam Questions + Sample Exam Question 1 We have a population of size N. Let p be the independent probability of a person in the population developing a disease. Answer the
More informationSTRAND E: STATISTICS E2 Data Presentation
STRAND E: STATISTICS E2 Data Presentation Text Contents * * Section E2.1 Pie Charts E2.2 Line Graphs E2.3 Stem and Leaf Plots E2.4 Graphs: Histograms E2 Data Presentation E2.1 Pie Charts Pie charts, which
More informationLesson 19: Understanding Variability When Estimating a Population Proportion
Lesson 19: Understanding Variability When Estimating a Population Proportion Student Outcomes Students understand the term sampling variability in the context of estimating a population proportion. Students
More informationIntroduction to Estimation. Martina Litschmannová K210
Introduction to Estimation Martina Litschmannová martina.litschmannova@vsb.cz K210 Populations vs. Sample A population includes each element from the set of observations that can be made. A sample consists
More informationSTAT 224 Exam 1, Version 1 Discussion (check one): Show your work for partial credit.
Last name: STAT 224 Exam 1, Version 1 Discussion (check one): Show your work for partial credit. First: 1. The four sides of a rectangluar blower enclosure consist of two short pieces chosen randomly from
More informationChapter 7: Sampling Distributions
+ Chapter 7: Sampling Distributions Section 7.2 The Practice of Statistics, 4 th edition For AP* STARNES, YATES, MOORE + Chapter 7 Sampling Distributions n 7.1 What is a Sampling Distribution? n 7.2 n
More informationSTA 4321/5325 Solution to Extra Homework 1 February 8, 2017
STA 431/535 Solution to Etra Homework 1 February 8, 017 1. Show that for any RV X, V (X 0. (You can assume X to be discrete, but this result holds in general. Hence or otherwise show that E(X E (X. Solution.
More informationVersion C Pre-Algebra Practice Semester 1Exam
Version C Pre-Algebra 0 04 Practice Semester Exam. Which number is equivalent to 7? 4. Which ordered pair is a solution of the system graphed? 7. 7. 7.66 7.6. Which fraction is equivalent to 0.576? 44
More informationAnnouncements. 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 informationC) Discuss two factors that are contributing to the rapid geographical shifts in urbanization on a global scale.
AP Human Geography Unit VII. Cities and Urban Land Use Free Response Questions FRQ 1 Rapid urbanization in Least Developed Countries (LDCs) has many profound impacts for the world. Answer the following
More informationSenior Math Circles November 19, 2008 Probability II
University of Waterloo Faculty of Mathematics Centre for Education in Mathematics and Computing Senior Math Circles November 9, 2008 Probability II Probability Counting There are many situations where
More informationAP 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 informationChapter 7 Sampling Distributions
Statistical inference looks at how often would this method give a correct answer if it was used many many times. Statistical inference works best when we produce data by random sampling or randomized comparative
More informationChapter 6: SAMPLING DISTRIBUTIONS
Chapter 6: SAMPLING DISTRIBUTIONS Read Section 1.5 Graphical methods may not always be sufficient for describing data. Numerical measures can be created for both populations and samples. Definition A numerical
More informationST 371 (IX): Theories of Sampling Distributions
ST 371 (IX): Theories of Sampling Distributions 1 Sample, Population, Parameter and Statistic The major use of inferential statistics is to use information from a sample to infer characteristics about
More informationSTT 315 Problem Set #3
1. A student is asked to calculate the probability that x = 3.5 when x is chosen from a normal distribution with the following parameters: mean=3, sd=5. To calculate the answer, he uses this command: >
More informationMAT 2379, Introduction to Biostatistics, Sample Calculator Questions 1. MAT 2379, Introduction to Biostatistics
MAT 2379, Introduction to Biostatistics, Sample Calculator Questions 1 MAT 2379, Introduction to Biostatistics Sample Calculator Problems for the Final Exam Note: The exam will also contain some problems
More informationChapter 1: Revie of Calculus and Probability
Chapter 1: Revie of Calculus and Probability Refer to Text Book: Operations Research: Applications and Algorithms By Wayne L. Winston,Ch. 12 Operations Research: An Introduction By Hamdi Taha, Ch. 12 OR441-Dr.Khalid
More informationFSA 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 informationUNIVERSITY OF CALIFORNIA, BERKELEY
UNIVERSITY OF CALIFORNIA, BERKELEY DEPARTMENT OF STATISTICS STAT 34: Concepts of Probability Spring 24 Instructor: Antar Bandyopadhyay Solution to the Midterm Examination. A point X, Y is randomly selected
More informationTribhuvan University Institute of Science and Technology 2065
1CSc. Stat. 108-2065 Tribhuvan University Institute of Science and Technology 2065 Bachelor Level/First Year/ First Semester/ Science Full Marks: 60 Computer Science and Information Technology (Stat. 108)
More informationORF 245 Fundamentals of Engineering Statistics. Final Exam
Princeton University Department of Operations Research and Financial Engineering ORF 245 Fundamentals of Engineering Statistics Final Exam May 22, 2008 7:30pm-10:30pm PLEASE DO NOT TURN THIS PAGE AND START
More informationPLEASE MARK YOUR ANSWERS WITH AN X, not a circle! 1. (a) (b) (c) (d) (e) 2. (a) (b) (c) (d) (e) (a) (b) (c) (d) (e) 4. (a) (b) (c) (d) (e)...
Math 020, Exam II October, 206 The Honor Code is in effect for this examination. All work is to be your own. You may use a calculator. The exam lasts for hour 5 minutes. Be sure that your name is on every
More information1. If X has density. cx 3 e x ), 0 x < 0, otherwise. Find the value of c that makes f a probability density. f(x) =
1. If X has density f(x) = { cx 3 e x ), 0 x < 0, otherwise. Find the value of c that makes f a probability density. 2. Let X have density f(x) = { xe x, 0 < x < 0, otherwise. (a) Find P (X > 2). (b) Find
More informationTEEN DRIVER SEAT BELT OBSERVATION FORM
TEEN DRIVER SEAT BELT OBSERVATION FORM High Schools will count only teen drivers and passengers. If the vehicle is being driven by an adult, only count teen passengers. DO NOT notify students that counts
More informationEXAMINATIONS OF THE ROYAL STATISTICAL SOCIETY (formerly the Examinations of the Institute of Statisticians) HIGHER CERTIFICATE IN STATISTICS, 1996
EXAMINATIONS OF THE ROAL STATISTICAL SOCIET (formerly the Examinations of the Institute of Statisticians) HIGHER CERTIFICATE IN STATISTICS, 996 Paper I : Statistical Theory Time Allowed: Three Hours Candidates
More informationWhy should you care?? Intellectual curiosity. Gambling. Mathematically the same as the ESP decision problem we discussed in Week 4.
I. Probability basics (Sections 4.1 and 4.2) Flip a fair (probability of HEADS is 1/2) coin ten times. What is the probability of getting exactly 5 HEADS? What is the probability of getting exactly 10
More informationMath Key Homework 3 (Chapter 4)
Math 3339 - Key Homework 3 (Chapter 4) Name: PeopleSoft ID: Instructions: Homework will NOT be accepted through email or in person. Homework must be submitted through CourseWare BEFORE the deadline. Print
More information( ) P A B : Probability of A given B. Probability that A happens
A B A or B One or the other or both occurs At least one of A or B occurs Probability Review A B A and B Both A and B occur ( ) P A B : Probability of A given B. Probability that A happens given that B
More informationBINOMIAL DISTRIBUTION
BINOMIAL DISTRIBUTION The binomial distribution is a particular type of discrete pmf. It describes random variables which satisfy the following conditions: 1 You perform n identical experiments (called
More informationTest statistic P value Reject/fail to reject. Conclusion:
Mixed Hypothesis Review AP STATISTICS Name Date Per Choose the correct hypothesis test for the following situations 1. A random sample of 49 medical doctors in LA showed that they worked an average of
More informationS2 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 informationMidterm 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 informationPrevious Exam Questions, Chapter 2
ECE 302: Probabilistic Methods in Electrical and Computer Engineering Instructor: Prof. A. R. Reibman Previous Exam Questions, Chapter 2 Reibman (compiled September 2018) These form a collection of 36
More information