AP Statistics - Random Variables (Multiple Choice)

Similar documents
Test 7A AP Statistics Name: Directions: Work on these sheets.

Test 6A AP Statistics Name:

AP Statistics Review Ch. 6

List of Online Quizzes: Quiz7: Basic Probability Quiz 8: Expectation and sigma. Quiz 9: Binomial Introduction Quiz 10: Binomial Probability

Name Period AP Statistics Unit 5 Review

The Binomial Probability Distribution

Examples: Random Variables. Discrete and Continuous Random Variables. Probability Distributions

Probability Models.S2 Discrete Random Variables

Chapter 4 Discrete Random variables

7. For the table that follows, answer the following questions: x y 1-1/4 2-1/2 3-3/4 4

Chapter 4 Discrete Random variables

Uniform Probability Distribution. Continuous Random Variables &

Section Introduction to Normal Distributions

4.2 Bernoulli Trials and Binomial Distributions

The Binomial and Geometric Distributions. Chapter 8

STOR 155 Introductory Statistics (Chap 5) Lecture 14: Sampling Distributions for Counts and Proportions

Binomial formulas: The binomial coefficient is the number of ways of arranging k successes among n observations.

Probability Theory and Simulation Methods. April 9th, Lecture 20: Special distributions

AP Statistics Test 5

Chapter 4 Probability Distributions

Mean of a Discrete Random variable. Suppose that X is a discrete random variable whose distribution is : :

DO NOT POST THESE ANSWERS ONLINE BFW Publishers 2014

Lecture 8. The Binomial Distribution. Binomial Distribution. Binomial Distribution. Probability Distributions: Normal and Binomial

TRUE-FALSE: Determine whether each of the following statements is true or false.

Chapter 3 Discrete Random Variables and Probability Distributions

Unit 04 Review. Probability Rules

Math 160 Professor Busken Chapter 5 Worksheets

Study Guide: Chapter 5, Sections 1 thru 3 (Probability Distributions)

3. The n observations are independent. Knowing the result of one observation tells you nothing about the other observations.

ECON 214 Elements of Statistics for Economists 2016/2017

Example 1: Identify the following random variables as discrete or continuous: a) Weight of a package. b) Number of students in a first-grade classroom

VIDEO 1. A random variable is a quantity whose value depends on chance, for example, the outcome when a die is rolled.

Random Variables. Chapter 6: Random Variables 2/2/2014. Discrete and Continuous Random Variables. Transforming and Combining Random Variables

Chapter 6: Random Variables

Discrete Probability Distributions

Discrete Probability Distributions and application in Business

Chapter 6: Random Variables

3. The n observations are independent. Knowing the result of one observation tells you nothing about the other observations.

Overview. Definitions. Definitions. Graphs. Chapter 4 Probability Distributions. probability distributions

Chapter 3 - Lecture 5 The Binomial Probability Distribution

Binomial Random Variables. Binomial Random Variables

Binomial Distributions

Econ 250 Fall Due at November 16. Assignment 2: Binomial Distribution, Continuous Random Variables and Sampling

Chapter 5 Probability Distributions. Section 5-2 Random Variables. Random Variable Probability Distribution. Discrete and Continuous Random Variables

5.4 Normal Approximation of the Binomial Distribution

Probability Distributions. Definitions Discrete vs. Continuous Mean and Standard Deviation TI 83/84 Calculator Binomial Distribution

Keller: Stats for Mgmt & Econ, 7th Ed July 17, 2006

Chapter 5: Probability models

Using the Central Limit Theorem It is important for you to understand when to use the CLT. If you are being asked to find the probability of the

The binomial distribution p314

Exam 2 - Pretest DS-23

Chapter 7. Sampling Distributions and the Central Limit Theorem

AP Statistics Section 6.1 Day 1 Multiple Choice Practice. a) a random variable. b) a parameter. c) biased. d) a random sample. e) a statistic.

THE UNIVERSITY OF THE WEST INDIES (DEPARTMENT OF MANAGEMENT STUDIES)

Section 7.5 The Normal Distribution. Section 7.6 Application of the Normal Distribution

Chapter 3. Discrete Probability Distributions

Chapter 8: The Binomial and Geometric Distributions

guessing Bluman, Chapter 5 2

MATH 227 CP 6 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

Random Variables. Note: Be sure that every possible outcome is included in the sum and verify that you have a valid probability model to start with.

12 Math Chapter Review April 16 th, Multiple Choice Identify the choice that best completes the statement or answers the question.

Probability Notes: Binomial Probabilities

Chapter 3 Discrete Random Variables and Probability Distributions

Math 227 Elementary Statistics. Bluman 5 th edition

8.1 Binomial Distributions

Chapter 6: Random Variables

Problem Set 07 Discrete Random Variables

Discrete Probability Distributions

Section M Discrete Probability Distribution

CH 5 Normal Probability Distributions Properties of the Normal Distribution

AP Statistics Ch 8 The Binomial and Geometric Distributions

AP Stats Review. Mrs. Daniel Alonzo & Tracy Mourning Sr. High

Honors Statistics. Aug 23-8:26 PM. 1. Collect folders and materials. 2. Continue Binomial Probability. 3. Review OTL C6#11 homework

Discrete Random Variables and Their Probability Distributions

Discrete Random Variables and Their Probability Distributions

In a binomial experiment of n trials, where p = probability of success and q = probability of failure. mean variance standard deviation

Binomial Distributions

Chapter 6 Section Review day s.notebook. May 11, Honors Statistics. Aug 23-8:26 PM. 3. Review team test.

Chapter 5. Discrete Probability Distributions. Random Variables

Statistics Chapter 8

Statistics. Marco Caserta IE University. Stats 1 / 56

Chapter 5 Discrete Probability Distributions. Random Variables Discrete Probability Distributions Expected Value and Variance

Other Types of Distributions

The Binomial Distribution

x is a random variable which is a numerical description of the outcome of an experiment.

Random Variables CHAPTER 6.3 BINOMIAL AND GEOMETRIC RANDOM VARIABLES

Math 14 Lecture Notes Ch. 4.3

Binomial and Normal Distributions. Example: Determine whether the following experiments are binomial experiments. Explain.

Some Discrete Distribution Families

1. The probability that a visit to a primary care physician s (PCP) office results in neither

Chapter 7 presents the beginning of inferential statistics. The two major activities of inferential statistics are

Probability and Statistics for Engineers

STUDY SET 2. Continuous Probability Distributions. ANSWER: Without continuity correction P(X>10) = P(Z>-0.66) =

d) Find the standard deviation of the random variable X.

EXERCISES FOR PRACTICE SESSION 2 OF STAT CAMP

Chapter 7. Sampling Distributions and the Central Limit Theorem

Chapter 6: Random Variables. Ch. 6-3: Binomial and Geometric Random Variables

STATISTICS GUIDED NOTEBOOK/FOR USE WITH MARIO TRIOLA S TEXTBOOK ESSENTIALS OF STATISTICS, 4TH ED.

What is the probability of success? Failure? How could we do this simulation using a random number table?

Chapter 7 1. Random Variables

Transcription:

Name: Class: _ Date: _ AP Statistics - Random Variables (Multiple Choice) Identify the choice that best completes the statement or answers the question. 1. A marketing survey compiled data on the number of personal computers in households. If X = the number of computers in a randomly-selected household, and we omit the rare cases of more than 5 computers, then X has the following distribution: X 0 1 2 3 4 5 P(X) 0.24 0.37 0.20 0.11 0.05 0.03 What is the probability that a randomly chosen household has at least two personal computers? A. 0.19 B. 0.20 C. 0.29 D. 0.39 E. 0.61 2. A random variable X has a probability distribution as follows: X 0 1 2 3 P(X) 2k 3k 13k 2k Where k is a positive constant. The probability P(X < 2.0) is equal to A. 0.90. B. 0.25. C. 0.65. D. 0.15. E. 1.00. 1

Name: 4.X and Y are independent random variables, and a and b are constants. Which one of the following statements is true? A. B. C. D. E. 5. Let the random variable X represent the profit made on a randomly selected day by a certain store. Assume that X is approximately normal with mean $360 and standard deviation $50. What is P(X > $400)? A. 0.2119 B. 0.2881 C. 0.5319 D. 0.7881 E. 0.8450 2

Name: 9. In the town of Tower Hill, the number of cell phones in a household is a random variable W with the following distribution: W 0 1 2 3 4 5 P(W) 0.1 0.1 0.25 0.3 0.2 0.05 The probability that a randomly-selected household has at least two cell phones is A. 0.20. B. 0.25. C. 0.55. D. 0.70. E. 0.80. 10. A rock concert producer has scheduled an outdoor concert. If it is warm that day, she expects to make a $20,000 profit. If it is cool that day, she expects to make a $5000 profit. If it is very cold that day, she expects to suffer a $12,000 loss. Based upon historical records, the weather office has estimated the chances of a warm day to be 0.60; the chances of a cool day to be 0.25. What is the producer s expected profit? A. $5,000 B. $11,450 C. $13,000 D. $13,250 E. $15,050 4

Name: 13. A randomly chosen subject arrives for a study of exercise and fitness. Consider these statements. I. After 10 minutes on an exercise bicycle, you ask the subject to rate his or her effort on the Rate of Perceived Exertion (RPE) scale. RPE ranges in whole-number steps from 6 (no exertion at all) to 20 (maximum exertion). II. You measure VO2, the maximum volume of oxygen consumed per minute during exercise. VO2 is generally between 2.5 liters per minute and 6 liters per minute. III. You measure the maximum heart rate (beats per minute). The statement(s) that describe a discrete random variable are A. I. B. II. C. I, III. D. I, II, III. E. None of the statements describe a discrete random variable. 14. Let the random variable X represent the amount of money Dan makes doing lawn care in a randomly selected week in the summer. Assume that X is Normal with mean $240 and standard deviation $60. The probability is approximately 0.6 that, in a randomly selected week, Dan will make less than A. $144 B. $216 C. $255 D. $30 E. $360 15. A vending machine operator has determined that the number of candy bars sold per week by a certain machine is a random variable with mean 125 and standard deviation 7. His profit on each bar sold is $0.25, and it costs him $5.00 per week to maintain the machine and rent the space for it. What are the mean and standard deviation for Y = the profit he earns from this machine in a randomly-selected week? A. Mean = 31.25, Standard deviation $3.25 B. Mean = 31.25, Standard deviation $1.25 C. Mean = 31.25, Standard deviation $1.75 D. Mean = 26.25, Standard deviation $1.25 E. Mean = 26.25, Standard deviation $1.75 5

AP Statistics - Random Variables (Multiple Choice) Answer Section MULTIPLE CHOICE 1. ANS: D /D/Correct! 2. ANS: B /B/Correct! 3. ANS: B /B/Correct! Binomial probability formula: P(k successes in n trials when p = success in one trial) is. 4. ANS: B /B/Correct! When adding or subtracting random variables, variances add but standard deviations do not. 5. ANS: A /A/Correct! 6. ANS: C /C/Correct! The dealer must sample with replacement in order to meet the independence requirement for the binomial distribution. 7. ANS: E /E/Correct! ; 8. ANS: D /D/Correct! (d) is the essential difference between the binomial setting and the geometric setting. None of the other statements are true. 1

9. ANS: E /E/Correct! 10. ANS: B /B/Correct! 11. ANS: E /E/Correct! Since we are sampling without replacement, draws from the deck are not independent, violating one property of both binomial and geometric distributions. 12. ANS: A /A/Correct! Statements II and III are conditions for the geometric setting. (Statement II is only true for the binomial setting). 13. ANS: C /C/Correct! Variables in I and III take on discrete integer values, the variable in II is continuous (though actual values are limited by the measurement process, there are no explicit gaps between values). 14. ANS: C /C/Correct! z-value for 0.60 is 0.25. 15. ANS: E /E/Correct! 16. ANS: C /C/Correct! Fits all conditions for geometric setting. 2