Math 21 Test

Similar documents
(c) The probability that a randomly selected driver having a California drivers license

Exam II Math 1342 Capters 3-5 HCCS. Name

Math 160 Professor Busken Chapter 5 Worksheets

Fall 2015 Math 141:505 Exam 3 Form A

Formula for the Multinomial Distribution

Test 3 Review. 2. What is the effective rate of interest for money invested at 10% annual interest compounded monthly?

PROBABILITY and BAYES THEOREM

Example 1: Find the equation of the line containing points (1,2) and (2,3).

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

7.1: Sets. What is a set? What is the empty set? When are two sets equal? What is set builder notation? What is the universal set?

PROBABILITY AND STATISTICS, A16, TEST 1

MATH 112 Section 7.3: Understanding Chance

Other Types of Distributions

1. (9; 3ea) The table lists the survey results of 100 non-senior students. Math major Art major Biology major

Chapter 6 Probability

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

Name PID Section # (enrolled)

1 Math 1313 Final Review Final Review for Finite. 1. Find the equation of the line containing the points 1, 2)

= = b = 1 σ y = = 0.001

Problem Set 07 Discrete Random Variables

1. The data in the following table represent the number of miles per gallon achieved on the highway for compact cars for the model year 2005.

Chapter 15 - The Binomial Formula PART

Event p351 An event is an outcome or a set of outcomes of a random phenomenon. That is, an event is a subset of the sample space.

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

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

Lecture 6 Probability

MATH 446/546 Homework 1:

4.2 Bernoulli Trials and Binomial Distributions

expl 1: Consider rolling two distinguishable, six-sided dice. Here is the sample space. Answer the questions that follow.

1. Steve says I have two children, one of which is a boy. Given this information, what is the probability that Steve has two boys?

Unit 04 Review. Probability Rules

3.2 Binomial and Hypergeometric Probabilities

Chapter Six Probability

The Binomial Distribution

Experimental Probability - probability measured by performing an experiment for a number of n trials and recording the number of outcomes

CD Appendix F Hypergeometric Distribution

MATH 264 Problem Homework I

STUDY SET 1. Discrete Probability Distributions. x P(x) and x = 6.

Assignment 2 (Solution) Probability and Statistics

LAMC Math 137 Test 3 Module 5 Yun 11/14/2014

Chapter 3 - Lecture 5 The Binomial Probability Distribution

CPS-111:Tutorial 6. Discrete Probability II. Steve Gu Feb 22, 2008

MATH 118 Class Notes For Chapter 5 By: Maan Omran

Probability and Sample space

Binomial Distributions

1. State whether the following groups are populations or samples. You are encouraged to justify your answers.

Name PID Section # (enrolled)

Math 227 Practice Test 2 Sec Name

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

Ex 1) Suppose a license plate can have any three letters followed by any four digits.

Binomial Random Variables. Binomial Random Variables

Determine whether the given procedure results in a binomial distribution. If not, state the reason why.

Ch 9 SB answers.notebook. May 06, 2014 WARM UP

Math 14 Lecture Notes Ch. 4.3

Binomial Probability

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

Chapter 4. Section 4.1 Objectives. Random Variables. Random Variables. Chapter 4: Probability Distributions

Record on a ScanTron, your choosen response for each question. You may write on this form. One page of notes and a calculator are allowed.

AMS7: WEEK 4. CLASS 3

Chpt The Binomial Distribution

Math Tech IIII, Apr 25

Examples CH 4 X P(X).2.3?.2

2.) What is the set of outcomes that describes the event that at least one of the items selected is defective? {AD, DA, DD}

Chapter 3. Discrete Probability Distributions

4.1 Probability Distributions

Lecture 7 Random Variables

Exercises for Chapter (5)

STAT 430/510 Probability Lecture 5: Conditional Probability and Bayes Rule

Probability Theory. Mohamed I. Riffi. Islamic University of Gaza

Example. Chapter 8 Probability Distributions and Statistics Section 8.1 Distributions of Random Variables

Test 2 Version A STAT 3090 Fall 2016

Name Period AP Statistics Unit 5 Review

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

Test 6A AP Statistics Name:

chapter 13: Binomial Distribution Exercises (binomial)13.6, 13.12, 13.22, 13.43

Chapter 8: Binomial and Geometric Distributions

Probability and Statistics. Copyright Cengage Learning. All rights reserved.

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

Probability and Probability Distributions Problems

8.1 Binomial Distributions

What do you think "Binomial" involves?

ECON 214 Elements of Statistics for Economists 2016/2017

Example - Let X be the number of boys in a 4 child family. Find the probability distribution table:

PROB NON CALC ANS SL

Stat 210 Exam Two. MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

setting the sum of probabilities = 1 k = 3 AG N (a) (i) s = 1 A1 N1

Examples: On a menu, there are 5 appetizers, 10 entrees, 6 desserts, and 4 beverages. How many possible dinners are there?

A.REPRESENTATION OF DATA

Chapter. Section 4.2. Chapter 4. Larson/Farber 5 th ed 1. Chapter Outline. Discrete Probability Distributions. Section 4.

Discrete Probability Distribution

Stats SB Notes 4.2 Completed.notebook February 22, Feb 21 11:39 AM. Chapter Outline

MANAGEMENT PRINCIPLES AND STATISTICS (252 BE)

Probability & Statistics Chapter 5: Binomial Distribution

7. The random variable X is the number of cars entering the campus from 1 to 1:05 A.M. Assign probabilities according to the formula:

Chapter Five. The Binomial Distribution and Related Topics

b) Consider the sample space S = {1, 2, 3}. Suppose that P({1, 2}) = 0.5 and P({2, 3}) = 0.7. Is P a valid probability measure? Justify your answer.

Lesson 97 - Binomial Distributions IBHL2 - SANTOWSKI

Opening Exercise: Lesson 91 - Binomial Distributions IBHL2 - SANTOWSKI

Revised: Spring2009 Huseyin Yuce and Urmi Ghosh-Dastidar Revised: Urmi Ghosh-Dastidar and Grazyna Niezgoda (Spring 2013)

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

Transcription:

Math 21 Test 2 010705 Name Show all your work for each problem in the space provided. Correct answers without work shown will earn minimum credit. You may use your calculator. 1. [6 points] The sample space of an experiment is {A, B, C, D} and P(A) =.1, P(B) =.3, P(C) =.4. a) Find P(D) PA ( ) + PB ( ) + PC ( ) + PD ( ) = 1 becausepsamplespace ( ) = 1... so 0.1 + 0.3 + 0.4 + P( D) = 1 and consequently PD ( ) = 0.2 b) Find P (A or C) PAorC ( ) = PA ( ) + PC ( ) PA ( C) wherepa ( C) = 0 = 0.1+ 0.4 = 0.5 2. [6 points] A person is selected at random from a group of people classified as high, moderate or low risks for lung cancer. The probability of an individual from each of these groups being selected is shown in the table below. Low Moderate High Male.12.25.05 Female.08.48.02 a) Find the probability that a male is selected. P(male)=P(low risk male)+p(moderate risk male) +P(high risk male) = 0.12 + 0.25 + 0.05 = 0.42 b) Find the probability that a person of moderate risk is selected. P(moderate risk person)=p(moderate risk male) + P(moderate risk female) = 0.25 + 0.48 = 0.73 c) Find the probability that a female of low or moderate risk is selected. P(female of low or moderate risk)=p(low risk female)+p(moderate risk female) = 0.08 + 0.48 = 0.56

3. [6 points] Three people are randomly selected from a group of 6 men and 4 women and seated in a row. NOTE: Experiment is seating 3 of 10 people in a row can be done 10 x 9 x 8 ways. a) Find the probability the first two seated are men and the third a woman. 6 5 4 120 1 P(man, man, woman) = 0.167 10 9 8 = 720 = 6 b) Find the probability the first seated is a woman, the second a man, and the third a woman. 4 6 3 72 1 P(woman, man, woman) = = = = 0.100 10 9 8 720 10 4. [6 points] An urn contains 30 balls, of which 12 are red, 10 are yellow and 8 are green. If two balls are selected at random, what is the probability that both are the same color? NOTE: Experiment is to select 2 balls from a group of 30 can be done C(30,2) ways P(2 balls of the same color) = P(2red or 2yellow or 2 green) C(12,2) + C(10, 2) + C(8, 2) = C(30, 2) 66 + 45 + 28 139 = = 0.320 435 435 5. [6 points] A tray of electronic components contains 15 components, four of which are defective. If 4 components are selected, find the probability that Experiment: select 4 components from 15 a) all four are defective? P(4 defective) = C(4,4) C(11,0) 1 = 0.001 C(15,4) 1365 b) three are defective and one is good? P(3 defective and 1 good) = C(4,3) C(11,1) 44 = 0.032 C(15,4) 1365

6. [6 points] The probability that a coffee shop customer uses sugar is.45, the probability of using cream is.35 and the probability of using both is.20. Find the probability that a customer uses neither sugar nor cream. P( C ' and S ') = 1 P( C S) = 1 (.15 +.20 +.25) =.40 C.15 CS.20 S.25 C S.40 7. [6 points] A committee is composed of 4 educators, 5 businessmen, and 6 retired people. Three people are selected at random. Find the probability that i) one member from each group is selected P(one educ and one bus and one ret'd) = C(4,1) C(5,1) C(6,1) 120 =.264 C(15,3) 455 b) all three are educators or all three are retired persons. P(3 educ or 3 ret'd) = C(4,3)+C(6,3) 24 =.053 C(15,3) 455 c) at least one educator is selected. P(at least 1 educator selected)= 1 - P(NO educators are selected) # ways to select 3 people from 5 business and 6 retired = 1 - # ways to select any 3 people C(4,0) C(11,3) = 1 - C(15,3) 165 = 1 -.637 455

8. [6 points] The membership of a college club consists of 11 freshmen, 16 sophomores, 27 junior and 54 seniors. There are 52 women in the club, of whom 6 are freshmen, 7 are sophomores, 13 are juniors and 26 are seniors. If one member is selected at random, find the probability that the member selected is Organize information: Freshmen Sophs Juniors Seniors TOTALS Women 6 7 13 26 52 Men 5 9 14 28 56 TOTALS 11 16 27 54 108 a) A freshman or a sophomore. P(freshman or soph) = 11+ 16 27 = =.25 108 108 b) A man, given that the member is not a freshman. P(man not freshman)= n(non-freshman men) n(non-freshmen) 51 = 0.526 97 c) A sophmore or a junior if the member selected is a woman. P(soph or junior woman)= n(soph or junior women) n(women) 20 = 0.385 52 9. [6 points] One card is selected from seven cards numbered 1, 2, 3, 4, 5, 6, 7. Let E be the event "the number is odd" and let F be the event "the number is greater than 4." Use a test for independence to determine if E and F are independent. Events E and F are independent if P( E F) = P( E ) or P( F E) = P( F ) or P(E F)=P(E) P(F) Given set of cards numbered {1, 2, 3, 4, 5, 6, 7}, event E = {1, 3, 5, 7} and event F = {5, 6, 7}. Event E F = {5, 7}. So P(E) = 4/7, P(F) = 3/7 and P(E F) = 2/7. If E and F were independent, then = P(E F) = P(E) P(F) but 2/7 (4/7)(3/7) so these events are NOT independent using Test #3. Note: You can also use the first or the second test: P(E F) = 2/3 but this is not equal to P(E) = 4/7 so the events are NOT independent. Similarly, P(F E) = 2/4 which is not equal to P(F) = 3/7.

10. [6 points] The probability Dan oversleeps and misses his 8 o'clock class is 0.7 and the probability Tom independently oversleeps and misses his 8 o'clock class is 0.1. Find the probability that a) both oversleep and miss their 8 o'clock classes P(both oversleep) = P(Dan oversleeps AND Tom oversleeps) = P(Dan oversleeps) P(Tom oversleeps) = (0.7)(0.1) = 0.07 b) exactly one of these two students oversleeps and misses his 8 o'clock class. This occurs if Dan oversleeps and misses class but Tom doesn t or Dan doesn t oversleep and Tom does. Let D = event Dan oversleeps and T = event Tom oversleeps. We know P(D)=0.7 and P(T)=0.1 so P(D ) = 0.3 and P(T )=0.9. Then P(exactly one oversleeps) = P(D and T' or D' and T) = P(D) P(T' ) +P(D' ) P(T) = (0.7)(0.9) +(0.3)(0.1) = 0.63 + 0.03 = 0.66 11. [6 points] In an entering freshman class at a small private university, 18% of the entering freshmen attended private schools while 82% attended public schools. 30% of those who attended private schools and 15% of those who attended public schools played in their high school bands. If a student is chosen at random from this class, find the probability that the student attended public school if s/he played in their high school band. Private school.18 Band.30 Band.15 P(public sch P( public school band) = P(band) (.82)(.15) = (.82)(.15) + (.18)(.30) 0.695 band) Public school.82

12. [6 points] An insurance salesperson makes a sale 30% of the time she calls on a prospect. Suppose the salesperson calls on 7 prospects. Find the probability she will make a sale a) in three of the seven sales calls. Use Bernoulli Formula for Binomial Probability where number of trials n = 7 calls, probability of success is p = probability of sale = 0.3, probability of failure is q = probability of no sale = 0.7. Here we are looking for the probability of x = 3 successes (sales). Px 3 4 ( = 3) = C(7, 3) (0.3) (0.7) 0.227 b) in at least one of the seven sales calls. In this problem we are looking for the probability of 1 or 2 or 3 or 4 or 5 or 6 or 7 sales in 7 sales calls. We can calculate individual binomial probabilities and add but it s quicker and easier to notice that P(at least 1 success) = 1 - P(0 successes - which means 7 failures) = 1 C(7, 0) (0.3) (0.7) = 1 0.8235... 0.917 0 7