Conditional Probability Solutions STAT-UB.0103 Statistics for Business Control and Regression Models

Similar documents
Multiple Choice Practice Set 1

3.2 Probability Rules

MAT2377. Ali Karimnezhad. Version September 9, Ali Karimnezhad

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

Intermediate Math Circles November 8, 2017 Probability II

2.6 Tools for Counting sample points

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

Topic -2. Probability. Larson & Farber, Elementary Statistics: Picturing the World, 3e 1

STAT Chapter 3: Probability

Intro to Probability Day 3 (Compound events & their probabilities)

Chance, too, which seems to rush along with slack reins, is bridled and governed by law (Boethius, ).

CHAPTER 3 PROBABILITY: EVENTS AND PROBABILITIES

Lecture 28 Chi-Square Analysis

Lesson 6 Population & Sampling

Prince Sultan University STAT 101 Final Examination Spring Semester 2008, Term 082 Monday, June 29, 2009 Dr. Quazi Abdus Samad

( ) P A B : Probability of A given B. Probability that A happens

Final Practice 1 Date: Section: Name: . Find: n(a) 2) na= ( ) 25

Math 140 Introductory Statistics

Exam 1 Review With Solutions Instructor: Brian Powers

Math 140 Introductory Statistics

324 Stat Lecture Notes (1) Probability

Psych 230. Psychological Measurement and Statistics

1 The Basic Counting Principles

Data Analysis and Statistical Methods Statistics 651

PS5: Two Variable Statistics LT3: Linear regression LT4: The test of independence.

Probability and Statistics Notes

Hypothesis testing. Data to decisions

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

A SHORT INTRODUCTION TO PROBABILITY

Sampling. Module II Chapter 3

Section I Questions with parts

Independence Solutions STAT-UB.0103 Statistics for Business Control and Regression Models

Chapter. Probability

4. Probability of an event A for equally likely outcomes:

Business Statistics MBA Pokhara University

3 PROBABILITY TOPICS

(a) Fill in the missing probabilities in the table. (b) Calculate P(F G). (c) Calculate P(E c ). (d) Is this a uniform sample space?

2011 Pearson Education, Inc

= A. Example 2. Let U = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}, A = {4, 6, 7, 9, 10}, and B = {2, 6, 8, 9}. Draw the sets on a Venn diagram.

Data Analysis and Statistical Methods Statistics 651

Probability Exercises. Problem 1.

Stat 135 Fall 2013 FINAL EXAM December 18, 2013

HUDSONVILLE HIGH SCHOOL COURSE FRAMEWORK

Math 2311 Test 1 Review. 1. State whether each situation is categorical or quantitative. If quantitative, state whether it s discrete or continuous.

Senior Math Circles March 3, 2010 Counting Techniques and Probability II

Random processes. Lecture 17: Probability, Part 1. Probability. Law of large numbers

Prepared by: DR. ROZIAH MOHD RASDI Faculty of Educational Studies Universiti Putra Malaysia

Exam III Review Math-132 (Sections 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 8.1, 8.2, 8.3)

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

Mathematics: Paper 1 Grade 11

If S = {O 1, O 2,, O n }, where O i is the i th elementary outcome, and p i is the probability of the i th elementary outcome, then

Statistics for Business and Economics

Math 3201 Sample Exam. PART I Total Value: 50% 1. Given the Venn diagram below, what is the number of elements in both A and B, n(aub)?

Notes for Math 324, Part 12

Probability 5-4 The Multiplication Rules and Conditional Probability

Chapter 2 PROBABILITY SAMPLE SPACE

Binomial and Poisson Probability Distributions

UCLA STAT 10 Statistical Reasoning - Midterm Review Solutions Observational Studies, Designed Experiments & Surveys

Midterm Review Honors ICM Name: Per: Remember to show work to receive credit! Circle your answers! Sets and Probability

The possible experimental outcomes: 1, 2, 3, 4, 5, 6 (Experimental outcomes are also known as sample points)

Chapter 13, Probability from Applied Finite Mathematics by Rupinder Sekhon was developed by OpenStax College, licensed by Rice University, and is

Intro to Probability Day 4 (Compound events & their probabilities)

Resistant Measure - A statistic that is not affected very much by extreme observations.

Teaching Research Methods: Resources for HE Social Sciences Practitioners. Sampling

Chapter 01: Probability Theory (Cont d)

STAT200 Elementary Statistics for applications

FREQUENCY DISTRIBUTIONS AND PERCENTILES

13.4 Probabilities of Compound Events.notebook May 29, I can calculate probabilities of compound events.

STT 315 Problem Set #3

Talking feet: Scatterplots and lines of best fit

Topic 5 Part 3 [257 marks]

Probably About Probability p <.05. Probability. What Is Probability?

The Central Limit Theorem

Statistics 1L03 - Midterm #2 Review

1 Combinatorial Analysis

Assignment 2 SOLUTIONS

Name Date Chiek Math 12

Statistics 100 Exam 2 March 8, 2017

Chapter 7: Section 7-1 Probability Theory and Counting Principles

Probability and Samples. Sampling. Point Estimates

Chapter 2 Solutions Page 12 of 28

FCE 3900 EDUCATIONAL RESEARCH LECTURE 8 P O P U L A T I O N A N D S A M P L I N G T E C H N I Q U E

Marketing Research Session 10 Hypothesis Testing with Simple Random samples (Chapter 12)

Stat 225 Week 2, 8/27/12-8/31/12, Notes: Independence and Bayes Rule

Probabilistic models

AP Statistics Ch 6 Probability: The Study of Randomness

Topic 2 Probability. Basic probability Conditional probability and independence Bayes rule Basic reliability

Stat 225 Week 1, 8/20/12-8/24/12, Notes: Set Theory

Lecture Notes 12 Advanced Topics Econ 20150, Principles of Statistics Kevin R Foster, CCNY Spring 2012

Overview. 4.1 Tables and Graphs for the Relationship Between Two Variables. 4.2 Introduction to Correlation. 4.3 Introduction to Regression 3.

The enumeration of all possible outcomes of an experiment is called the sample space, denoted S. E.g.: S={head, tail}

Quantitative Methods for Decision Making

Conditional Probability 2 Solutions COR1-GB.1305 Statistics and Data Analysis

What does a population that is normally distributed look like? = 80 and = 10

CHAPTER 4 & 5 Linear Regression with One Regressor. Kazu Matsuda IBEC PHBU 430 Econometrics

STAT 430/510 Probability

AP Statistics Bivariate Data Analysis Test Review. Multiple-Choice

4/17/2012. NE ( ) # of ways an event can happen NS ( ) # of events in the sample space

Chapter 26: Comparing Counts (Chi Square)

Point-in-Time Count KS-507 Kansas Balance of State CoC

Transcription:

Conditional Probability Solutions STAT-UB.0103 Statistics for Business Control and Regression Models Counting (Review) 1. There are 10 people in a club. How many ways are there to choose the following: (a) A president, vice president, and treasurer? 10 9 8 = 720 (b) A 3-person committee. ( ) 10 = 10 9 8 3 3 2 1 = 120. Conditional Probability 2. Here is a table tabulated frequencies for the majors and genders of the students in the class survey. Gender Major Female Male Total Finance 12 20 32 Other 4 3 7 Undecided 10 15 25 Total 64 (a) List 2 interesting conclusions you can draw from the data in the table. At least one of your conclusions should compare Females and Males. All of your conclusions should involve proportions or probabilities. Example: 32 64 = 50% of students listed Finance as their major. Roughly the same proportions of Females and Males listed Finance as their major ( 12 20 = 46% for Female; = 52% for Males). 20 32 = 62.5% of the students who listed Finance are Male.

25 64 10 = 39% of students listed major as Undecided ( of Males). = % of Females; 15 = 39% 15 25 = 60% of the students who listed their major as Undecided are Male. 4 3 = 15% of Females listed their major as Other, while only did. = 8% of Males 4 7 = 57% of the students who listed their major as Other are Female. (Other answers are also valid.) (b) Which of the conclusions you listed are conditional probabilities? P (Finance Female) = 12 P (Finance Male = 20 P (Male Finance) = 20 32 P (Undecided Female = 10 P (Undecided Male = 15 P (Male Undecided) = 15 25 P (Other Female) = 4 P (Other Male) = 3 P (Female Other) = 4 7 (Other answers are also valid.) Page 2

3. The following table shoes the number of pairs of shoes reported and the genders of the 63 survey respondents who answered the questions How many pairs of shoes do you own?. Pairs of Shoes Gender 1 3 4 6 7 9 10 12 >12 Total Female 0 1 4 9 11 25 Male 3 13 11 7 4 Total 3 14 15 16 15 63 Use this data to answer the following questions. (a) If we pick a random survey respondent out of these 63, and it turns out that the respondent happens to be Female, what is the chance that the respondent will have 10 12 pairs of shoes. P (10 12 Shoes Female) = 9 25 = 36%. (b) Answer the previous problem using the equation P (B A) = P (A B) P (A). Here, the events are as follow: A = respondent is female, B = respondent owns 10 12 pairs of shoes. P (A) = 25 63 P (A B) = 9 63 P (A B) P (B A) = P (A) = (9/63) (25/63) = 9 25. (c) If we pick a respondent who owns 4 6 pairs of shoes, what is the chance that the respondent is male? Page 3

P (Male 4 6 pairs of shoes) = 13 14 = 93%. (d) Find the conditional probability P (>12 pairs of shoes Female). P (>12 pairs of shoes Female). = 11 25 = 44%. (e) Find the conditional probability P (Female >12 pairs of shoes). P (Female >12 pairs of shoes) = 11 15 = 73%. (f) Explain, the difference between (d) and (e). P (>12 pairs of shoes Female) is the proportion of female survey respondents who own more than 12 pairs of shoes; P (Female >12 pairs of shoes) is the proportion of respondents with more than 12 pairs of shoes who are female. Page 4

The Multiplicative Rule 4. Out of the 70 students enrolled in the class, 25 are female (36%) and 45 are male (64%). Suppose that we randomly select two different students. (a) What is the probability that both students are male? Define the two events A = the first student picked is male B = the second student picked is male. Then, P (A) = 45 44 70, and P (B A) =. Thus, the probability that both will be male is P (A B) = P (A)P (B A) = 45 70 44 = 1980 = 41%. (b) What is the probability that both students are female? Using the events A and B defined in the previois part, P (A c ) = 25 70 and P (B c A c ) = 24. Thus, the probability that both will be female is P (A c B c ) = P (A c )P (B c A c ) = 25 70 24 = 600 = 12%. (c) What is the probability that one of the students is male and one of the students is female? The event one student is male and the other is female is equivalent to the compound event (A B c ) (A c B); that is, either the first is male and the second is female, or the first is female and the second is male. Since A B c and A c B are mutually exclusive, it follows that P (one male and one female) = P (A B c ) + P (A c B). Page 5

Using the multiplicative rule, P (A B c ) = P (A)P (B c A) = 45 25 70 = 1125 Thus, P (A c B) = P (A c )P (B A c ) = 25 45 70 = 1125. P (one male and one female) = 1125 + 1125 = 2250 = 47%. Page 6

5. Of the 64 students who filled out the survey, 13 indicated that they are are currently employed, either at an internship or a paid position (13/64 = 20%). Suppose that we randomly select two different survey respondents. (a) What is the probability that both students are currently working? 13 64 12 63 = 156 4032 = 4%. (b) What is the probability that neither student is currently working? 51 64 50 63 = 2550 4032 = 63%. (c) What is the probability that exactly one student is currently working? 51 64 13 63 + 13 64 51 63 = 13 4032 = 33%. Page 7