Statistics for Business and Economics
8th Edition
ISBN: 9780132745659
Author: Paul Newbold, William Carlson, Betty Thorne
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Question
Chapter 3, Problem 98E
a)
To determine
The probability of selecting a random sample that has an MBA and also is over age 35.
b)
To determine
The probability that a randomly chosen analyst who is over age 35 has an MBA.
c)
To determine
The probability of the randomly chosen analyst has an MBA or is over age 35.
d)
To determine
The probability of the randomly chosen analyst who is over age 35 does not have an MBA.
e)
To determine
The relationship between the events MBA and over age 35.
f)
To determine
Whether the events MBA and over age 35 are mutually exclusive or not.
g)
To determine
Whether the events MBA and over age 3 are collectively exclusive or not.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
A production manager knows that 5% of components produced by a particular manufacturing process have some defect. Six of these components, whose characteristics can be assumed to be independent of each other, are examined.a. What is the probability that none of these components has a defect?b. What is the probability that one of these components has a defect?c. What is the probability that at least two of these components have a defect?
Suppose Eman has an 85% chance of passing each time he takes a quiz. What is the probability that he passes
on the first three quizzes but not on the fourth?
The probability that it will rain on any given day is 0.20, and the probability is independent from day to day. You are trying
to decide whether or not to make a tee time tomorrow to play golf. This requires a commitment on your part of turning
down, say, movie tickets in favor of playing golf. If you accept the tickets, you also make the commitment not to go golfing.
There is a weather forecast that signals whether it will rain tomorrow or not. There is a 0.80 probability that it rains when
there is a "rainy" forecast and a 0.125 probability of rain when there is a "sunny" forecast. The overall probability of getting
a "rainy" forecast is 0.111.
Assume you are risk neutral. You place the following monetary values on the potential outcomes:
a sunny day at
the golf course
a rainy day at
the movies
a rainy day at
home
$95
$20
-$18
a sunny day at $1
the movies
a. If you have no weather forecast, evaluate the expected value of planning to golf and planning to go to the movies.
What is the…
Chapter 3 Solutions
Statistics for Business and Economics
Ch. 3.1 - Prob. 1ECh. 3.1 - Prob. 2ECh. 3.1 - Prob. 3ECh. 3.1 - Prob. 4ECh. 3.1 - Prob. 5ECh. 3.1 - Prob. 6ECh. 3.1 - Prob. 7ECh. 3.2 - Prob. 8ECh. 3.2 - Prob. 9ECh. 3.2 - Prob. 10E
Ch. 3.2 - Prob. 11ECh. 3.2 - In a city of 180,000 people there are 20,000 legal...Ch. 3.2 - Prob. 13ECh. 3.2 - Prob. 14ECh. 3.2 - Prob. 15ECh. 3.2 - Prob. 16ECh. 3.2 - Prob. 17ECh. 3.2 - Prob. 18ECh. 3.3 - Prob. 19ECh. 3.3 - Prob. 20ECh. 3.3 - Prob. 21ECh. 3.3 - Prob. 22ECh. 3.3 - Prob. 23ECh. 3.3 - Prob. 24ECh. 3.3 - Prob. 25ECh. 3.3 - Prob. 26ECh. 3.3 - Prob. 27ECh. 3.3 - Prob. 28ECh. 3.3 - Prob. 29ECh. 3.3 - Prob. 30ECh. 3.3 - Prob. 31ECh. 3.3 - Prob. 32ECh. 3.3 - Prob. 33ECh. 3.3 - Prob. 34ECh. 3.3 - Prob. 35ECh. 3.3 - Prob. 36ECh. 3.3 - Prob. 37ECh. 3.3 - Prob. 38ECh. 3.3 - Prob. 39ECh. 3.3 - Prob. 40ECh. 3.3 - Prob. 41ECh. 3.3 - Prob. 42ECh. 3.3 - Prob. 43ECh. 3.3 - Prob. 44ECh. 3.3 - Prob. 45ECh. 3.3 - Prob. 46ECh. 3.3 - Prob. 47ECh. 3.3 - Prob. 48ECh. 3.3 - Prob. 49ECh. 3.3 - Prob. 50ECh. 3.3 - Prob. 51ECh. 3.4 - Prob. 52ECh. 3.4 - Prob. 53ECh. 3.4 - Prob. 54ECh. 3.4 - Prob. 55ECh. 3.4 - Prob. 56ECh. 3.4 - Prob. 57ECh. 3.4 - Prob. 58ECh. 3.4 - Prob. 59ECh. 3.4 - Prob. 60ECh. 3.4 - Prob. 61ECh. 3.4 - Prob. 62ECh. 3.4 - Prob. 63ECh. 3.4 - Prob. 64ECh. 3.4 - Prob. 65ECh. 3.4 - Prob. 66ECh. 3.4 - Prob. 67ECh. 3.4 - Prob. 68ECh. 3.4 - Prob. 69ECh. 3.4 - Prob. 70ECh. 3.4 - Prob. 71ECh. 3.4 - Prob. 72ECh. 3.4 - Prob. 73ECh. 3.4 - Prob. 74ECh. 3.4 - Prob. 75ECh. 3.4 - Prob. 76ECh. 3.4 - Prob. 77ECh. 3.5 - Prob. 78ECh. 3.5 - Prob. 79ECh. 3.5 - Prob. 80ECh. 3.5 - Prob. 81ECh. 3.5 - Prob. 82ECh. 3.5 - Prob. 83ECh. 3.5 - Prob. 84ECh. 3.5 - Prob. 85ECh. 3.5 - Prob. 86ECh. 3.5 - Prob. 87ECh. 3 - Prob. 88ECh. 3 - Prob. 89ECh. 3 - Prob. 90ECh. 3 - Prob. 91ECh. 3 - Prob. 92ECh. 3 - Prob. 93ECh. 3 - Prob. 94ECh. 3 - Prob. 95ECh. 3 - Prob. 96ECh. 3 - Prob. 97ECh. 3 - Prob. 98ECh. 3 - Prob. 99ECh. 3 - Prob. 100ECh. 3 - Prob. 101ECh. 3 - Prob. 102ECh. 3 - Prob. 103ECh. 3 - Prob. 104ECh. 3 - Prob. 105ECh. 3 - Prob. 106ECh. 3 - Prob. 107ECh. 3 - Prob. 108ECh. 3 - Prob. 109ECh. 3 - Prob. 110ECh. 3 - Prob. 111ECh. 3 - Prob. 112ECh. 3 - Prob. 113ECh. 3 - Prob. 114ECh. 3 - Prob. 115ECh. 3 - Prob. 116ECh. 3 - Prob. 117ECh. 3 - Prob. 118ECh. 3 - Prob. 119ECh. 3 - Prob. 120ECh. 3 - Prob. 121ECh. 3 - Prob. 122E
Knowledge Booster
Similar questions
- You work at a mechanic shop. 40% of cars that come in have a flat tire. If there are 50 cars in the shop, what is the probability that more than 30 have a flat tire? Round to three decimal points.arrow_forwardThe probability that the next President will be a Democrat is 0.5, and the probability that the next President will be a woman is 0.3. The probability the next President will be a woman and a Democrat is 0.1. What is the probability the next President will be a Democrat or a woman?arrow_forwardThe probability that it will rain on any given day is 0.20, and the probability is independent from day to day. You are trying to decide whether or not to make a tee time tomorrow to play golf. This requires a commitment on your part of turning down, say, movie tickets in favor of playing golf. If you accept the tickets, you also make the commitment not to go golfing. There is a weather forecast that signals whether it will rain tomorrow or not. There is a 0.80 probability that it rains when there is a "rainy" forecast and a 0.125 probability of rain when there is a "sunny" forecast. The overall probability of getting a "rainy" forecast is 0.111. Assume you are risk neutral. You place the following monetary values on the potential outcomes: a sunny day at $95 the golf course a rainy day at the movies a rainy day at home a sunny day at the movies $20 -$18 $1arrow_forward
- Managers of the restaurant, NicePizzeria@Nola, have to plan for the number of pizzas they want to make at the beginning of each day. Based on market research, the managers know the daily demand can only be one of the three levels: 30, 40 or 50 pizzas. Also, the probabilities of getting a daily demand of 30, 40, 50 pizzas are 0.3, 0.4, 0.3 respectively. The managers decide that their tentative daily supply of pizza should also be one of the three levels: 30, 40 or 50 pizzas. Each pizza costs $3 to make and the price is $8 per pizza. Note: The profit for each pizza sold is $5. For the ones supplied but not sold, the profit is -$3. Fill in the following profit table (hint: use two-way table ) and use the profit table to answer the questions. Three demand levels 30 40 50 30 Three supply 40 levels 50 1) What is the maximin supply level? 2) What is the maximum expected profit (across three supply levels)?arrow_forwardQuestion in economics statistics: A committee of 4 persons is to be appointed from 3 officers of the production department, 4 officers of the purchase department, two officers of the sales department and I chartered accountant. Find the probability of forming the committee in the following manner : (i) There must be one from each category (ii) It should have at least one from the purchase department (iii) The chartered accountant must be in the committee?arrow_forwardEric has a job at an electronics store in a mall. Eric doesn't like to work hard, and it costs him $100 to do so. Eric's employer cannot observe whether Eric works hard or not. If Eric works hard, there is a 75% probability that electronics goods profits will equal $400 a day and a 25% probability that electronics goods profits will equal $100 a day. If Eric shirks, there is a 75% probability that electronics goods profits will equal S100 a day and a 25% probability that electronics goods profits will equal $400 a day. Suppose Eric is paid $200 if electronics goods profits are $400 a day and $50 if electronics goods profits are S100 a day. Eric will because the net gain of from shirking is than the net gain of from working hard. O shirk; $87.50; more; $62.50 O shirk; $125; more; $118 O work hard; S50; less; $62.50 O work hard; $100; less; $250arrow_forward
- A law school is trying to gain a better understanding of the determinants of bar passage rates. Suppose that they the following facts were uncovered: 1. The probability with which a randomly selected graduate has received an A in Economic Foundations of Legal Studies (EFLS) is 0.3;2. The probability with which a randomly selected graduate has passed the bar exam is 0.81;3. The probability with which a randomly selected graduate has received an A in EFLS and has passed the bar exam is 0.27. Which of the following statements is true regarding the events X and Y, defined as follows: X = “a randomly selected graduate having received an A in EFLS”; andY = “a randomly selected student having passed the bar exam”? A) X and Y are independent events, and this can be verified by noting that P(X|Y) = 0.3.B) X and Y are not independent events, and this can be verified by noting that P(X|Y) = 0.3.C) X and Y are not independent events, and this can be verified by noting that P(X|Y) =.333.D) X and Y…arrow_forwardUniversity degree requirements typically are different for Bachelor of Science degrees and Bachelor of Arts degrees. Some students get a Bachelor of Arts and Science degree, which requires meeting graduation criteria for both degrees. A student advisor needs to know the probability a newly admitted student is interested in such a program, so that the student can be properly advised. A study of previous years finds that the probability a student gets a Bachelor of Science degree is P(Science) = 0.3 and the probability a student gets a Bachelor of Arts degree is P(Arts) = 0.6. The study also shows that the probability a student gets no degree is P(no) = 0.2. Some probability calculations show the probability of getting a Bachelor of Arts and Science degree to be P(Arts & Science) = 0.1. Getting a Bachelor of Arts degree and getting a Bachelor of Science degree are not independent because: P(Arts & Science) = P(Arts) P(Arts & Science) = P(Arts) P(Science) P(Arts & Science) = P(Arts |…arrow_forwardAn IBD/TIPP poll conducted to learn about attitudes toward investment and retirement asked male and female respondents how important they felt level of risk was in choosing a retirement investment. The following survey result was construed from the data of 500 respondents. "Important" means the respondent said level of risk was either important or very important. Important Not Important Total Male 150 132 282 Female 210 108 318 Total 360 240 500 a. Construct a probability table. b. What is the probability that a survey respondent will say level of risk is important? C. What is the probability a male survey respondent will say level of risk is important? d. What is the probability a female survey respondent will say level of risk is important? e. Do male and female attitudes toward risk differ? Hint: check if the level of risk is independent to the gender of the respondent.arrow_forward
- Industry standards suggest that 12 percent of new vehicles require warranty service within the first year. University Toyota in Morgantown, WV sold 10 Toyotas yesterday. What is the probability that exactly one of these vehicles will require warranty service?arrow_forwardA class consists of 17 women and 65 men. If a student is randomly selected, what is the probability that the student is a woman?arrow_forward2. A city had an unemployment rate of 7%. The mayor pledged to lower this figure and supported programs to decrease unemployment. A group of citizens wanted to test with 0.032 label of significance if the unemployment rate had actually decreased, so they obtained a random sample of 500 citizens to see what proportion of the sample was unemployed. Only 32 citizens in the above sample is still unemployed. What is the probability of Type II error if the actual unemployment rate is 6.5% please don't use software everything needs to be done by hand. Explain because I don't understand my professor. Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- Principles of Economics (12th Edition)EconomicsISBN:9780134078779Author:Karl E. Case, Ray C. Fair, Sharon E. OsterPublisher:PEARSONEngineering Economy (17th Edition)EconomicsISBN:9780134870069Author:William G. Sullivan, Elin M. Wicks, C. Patrick KoellingPublisher:PEARSON
- Principles of Economics (MindTap Course List)EconomicsISBN:9781305585126Author:N. Gregory MankiwPublisher:Cengage LearningManagerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher:Cengage LearningManagerial Economics & Business Strategy (Mcgraw-...EconomicsISBN:9781259290619Author:Michael Baye, Jeff PrincePublisher:McGraw-Hill Education
Principles of Economics (12th Edition)
Economics
ISBN:9780134078779
Author:Karl E. Case, Ray C. Fair, Sharon E. Oster
Publisher:PEARSON
Engineering Economy (17th Edition)
Economics
ISBN:9780134870069
Author:William G. Sullivan, Elin M. Wicks, C. Patrick Koelling
Publisher:PEARSON
Principles of Economics (MindTap Course List)
Economics
ISBN:9781305585126
Author:N. Gregory Mankiw
Publisher:Cengage Learning
Managerial Economics: A Problem Solving Approach
Economics
ISBN:9781337106665
Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:Cengage Learning
Managerial Economics & Business Strategy (Mcgraw-...
Economics
ISBN:9781259290619
Author:Michael Baye, Jeff Prince
Publisher:McGraw-Hill Education