Statistics for Management and Economics (Book Only)
11th Edition
ISBN: 9781337296946
Author: Gerald Keller
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Question
Chapter 7.5, Problem 128E
To determine
Calculate probability of given Poisson random variable.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
The table gives the joint probability distribution of the number of sports an individual plays (X) and the number of times she may get injured while playing (1)
X=3
0.15
0.06
0.15
0.02
Y=4
Y=3
Y=2
Y=1
X=1
0.12
0.05
0.10
0.15
The covariance between X and Y. xy.is
(Round your answer to two decimal places. Enter a minus sign if your answer is negative.)
The correlation between X and Y, con(X, Y), is
(Round your answer to two decimal places. Enter a minus sign if your answer is negative)
An increase in the number of sports an individual plays will tend to
X=2
0.08
0.05
0.03
0.04
the number of times she may get injured while playing
You work at a mechanic shop. On average, 10 cars come into your shop each day. Assuming a poisson distribution, what is the probability 4 cars come into the shop? Round to 4 decimal points.
A call center in Perth, Australia receives an average of 1.3 calls per minute. By looking at the date, a Poisson discrete distribution is assumed for this variable. Calculate each of the following.a. The probability of receiving no calls in the first minute of its office hours.b. The probability of receiving 1 call in the first minute.c. The probability of receiving 3 calls in the first minute.
Chapter 7 Solutions
Statistics for Management and Economics (Book Only)
Ch. 7.1 - Prob. 1ECh. 7.1 - Prob. 2ECh. 7.1 - Prob. 3ECh. 7.1 - Prob. 4ECh. 7.1 - Prob. 5ECh. 7.1 - Prob. 6ECh. 7.1 - Prob. 7ECh. 7.1 - Prob. 8ECh. 7.1 - Prob. 9ECh. 7.1 - Prob. 10E
Ch. 7.1 - Prob. 11ECh. 7.1 - Prob. 12ECh. 7.1 - Prob. 13ECh. 7.1 - Prob. 14ECh. 7.1 - Prob. 15ECh. 7.1 - Prob. 16ECh. 7.1 - Prob. 17ECh. 7.1 - Prob. 18ECh. 7.1 - Prob. 19ECh. 7.1 - Prob. 20ECh. 7.1 - Prob. 21ECh. 7.1 - Prob. 22ECh. 7.1 - Prob. 23ECh. 7.1 - Prob. 24ECh. 7.1 - Prob. 25ECh. 7.1 - Prob. 26ECh. 7.1 - Prob. 27ECh. 7.1 - Prob. 28ECh. 7.1 - Prob. 29ECh. 7.1 - Prob. 30ECh. 7.1 - Prob. 31ECh. 7.1 - Prob. 32ECh. 7.1 - Prob. 33ECh. 7.1 - Prob. 34ECh. 7.1 - Prob. 35ECh. 7.1 - Prob. 36ECh. 7.1 - Prob. 37ECh. 7.1 - Prob. 38ECh. 7.1 - Prob. 39ECh. 7.1 - Prob. 40ECh. 7.1 - Prob. 41ECh. 7.1 - Prob. 42ECh. 7.1 - Prob. 43ECh. 7.1 - Prob. 44ECh. 7.2 - Prob. 45ECh. 7.2 - Prob. 46ECh. 7.2 - Prob. 47ECh. 7.2 - Prob. 48ECh. 7.2 - Prob. 49ECh. 7.2 - Prob. 50ECh. 7.2 - Prob. 51ECh. 7.2 - Prob. 52ECh. 7.2 - Prob. 53ECh. 7.2 - Prob. 54ECh. 7.2 - Prob. 55ECh. 7.2 - Prob. 56ECh. 7.2 - Canadians who visit the United Sates often buy...Ch. 7.2 - Prob. 58ECh. 7.2 - Prob. 59ECh. 7.2 - Prob. 60ECh. 7.2 - Prob. 61ECh. 7.2 - Prob. 62ECh. 7.2 - Prob. 63ECh. 7.2 - Prob. 64ECh. 7.2 - Prob. 65ECh. 7.2 - Prob. 66ECh. 7.2 - Prob. 67ECh. 7.2 - Prob. 68ECh. 7.2 - Prob. 69ECh. 7.2 - Prob. 70ECh. 7.3 - Prob. 71ECh. 7.3 - Prob. 72ECh. 7.3 - Prob. 73ECh. 7.3 - Prob. 74ECh. 7.3 - Prob. 75ECh. 7.3 - Prob. 76ECh. 7.3 - Prob. 77ECh. 7.3 - Prob. 78ECh. 7.3 - Prob. 79ECh. 7.3 - Prob. 80ECh. 7.3 - Prob. 81ECh. 7.3 - Prob. 82ECh. 7.3 - Prob. 84ECh. 7.3 - Prob. 85ECh. 7.3 - Prob. 86ECh. 7.3 - Prob. 87ECh. 7.3 - Prob. 88ECh. 7.3 - Prob. 89ECh. 7.3 - Prob. 90ECh. 7.3 - Prob. 91ECh. 7.3 - Prob. 93ECh. 7.3 - Prob. 94ECh. 7.3 - Prob. 95ECh. 7.3 - Prob. 96ECh. 7.3 - Prob. 97ECh. 7.3 - Prob. 99ECh. 7.4 - Prob. 100ECh. 7.4 - Prob. 101ECh. 7.4 - Prob. 102ECh. 7.4 - Prob. 103ECh. 7.4 - Prob. 104ECh. 7.4 - Prob. 105ECh. 7.4 - Prob. 106ECh. 7.4 - Prob. 107ECh. 7.4 - Prob. 108ECh. 7.4 - Prob. 110ECh. 7.4 - Prob. 112ECh. 7.4 - Prob. 113ECh. 7.4 - Prob. 114ECh. 7.4 - Prob. 115ECh. 7.4 - Prob. 116ECh. 7.4 - Prob. 117ECh. 7.4 - Prob. 118ECh. 7.4 - Prob. 119ECh. 7.4 - Prob. 120ECh. 7.4 - Prob. 121ECh. 7.4 - Prob. 122ECh. 7.4 - Prob. 123ECh. 7.4 - Prob. 124ECh. 7.4 - Prob. 125ECh. 7.4 - Prob. 126ECh. 7.4 - Prob. 127ECh. 7.5 - Prob. 128ECh. 7.5 - Prob. 129ECh. 7.5 - Prob. 130ECh. 7.5 - Prob. 131ECh. 7.5 - Prob. 132ECh. 7.5 - Prob. 133ECh. 7.5 - Prob. 134ECh. 7.5 - Prob. 135ECh. 7.5 - Prob. 136ECh. 7.5 - Prob. 137ECh. 7.5 - Prob. 138ECh. 7.5 - Prob. 139ECh. 7.5 - Prob. 140ECh. 7.5 - Prob. 141ECh. 7.5 - Prob. 142ECh. 7.5 - Prob. 143ECh. 7.5 - Prob. 144ECh. 7 - Prob. 145CECh. 7 - Prob. 146CECh. 7 - Prob. 147CECh. 7 - Prob. 148CECh. 7 - Prob. 149CECh. 7 - Prob. 150CECh. 7 - Prob. 151CECh. 7 - Prob. 152CECh. 7 - Prob. 153CECh. 7 - Prob. 154CECh. 7 - Prob. 155CECh. 7 - Prob. 156CECh. 7 - Prob. 157CECh. 7 - Prob. 158CECh. 7 - Prob. 159CECh. 7 - Prob. 160CECh. 7 - Prob. 161CECh. 7 - Prob. 162CECh. 7 - Prob. 163CECh. 7 - Prob. 164CECh. 7 - Prob. 165CECh. 7 - Prob. 166CECh. 7 - Prob. 167CECh. 7 - Prob. 168CECh. 7 - Prob. 169CECh. 7 - Prob. 170CE
Knowledge Booster
Similar questions
- using 'standard Normal Table ' , calculate the following probabilities. 1. Pr(z < -1.12) 2. Pr(z >2.32) 3.pr(1.22 < z >2.53) 4.pr(-3.22 < z < 0.22) 5.pr(-2.36 < z < -0.50)arrow_forwardWhat do we call the probability of a Type I error?arrow_forwardFind the probabilities for each, using the standard normal distributionarrow_forward
- A factory production process produces a small number of defective parts in its daily production. Is the number of defective parts a discrete or continuous random variable?arrow_forwardSuppose A and B are two events with probabilities: P(A) = .30, P(B°) = .45, P(AN B) = .15. Find the following: а) Р(A U B). b) Р (4°). с) Р(B).arrow_forwarda. A company produces lightbulbs whose life follows a normal distribution, with mean 1200 hours and standard deviation 250 hours. If we choose a lightbulb at random, what is the probability that its lifetime will be between 900 and 1300 hours? (answer in three decimal places)arrow_forward
- QUESTION 2 The amount of time spouses shop for anniversary cards can be modeled by an exponential distribution with the average amount of time equal to 38 minutes. What is the probability that a randomly selected spouse spends at least 30 minutes to shop for anniversary card?arrow_forwardThe joint probability distribution of two random variables, Xand Y, is given in the table below. Y=-4 Y--3 Y--1 Y-2 X--4 0.06 0.12 0.17 0.18 X--1 0.00 0.03 0.00 0.21 X-0 0.02 0.01 0.20 0.00 From the information in the table, calculate each of the following probabilities. Round your answers to two decimal places. (If necessary, consult a list of formulas.) (a) Given that Y=-3, compute the probability that X=0. Given that X2 -1, compute the probability that (b) Y2-3.arrow_forwardQuestion Two a) The table below shows the probability distribution of the discrete random variable X. 2 3 4 5 7 P(X=x) 2p 2p 3p i. Find the value of p from the table above. Calculate the probability that at X is at least 5. Calculate the mean of the distribution. ii. 111.arrow_forward
- a) Grace Floral Shop sells several types of roses for all occasions. It is known that 43% of the roses that is sold by Grace Floral Shop are Eden Roses. 12 roses are ordered to put in a bouquet (i) Define the random variable for this situation and list its values (ii) Stating its parameter(s), what is the probability distribution of this variable? (iii)State the conditions that influence your choice of distribution. (iv)Calculate the probability that at most 2 of the roses were Eden Roses. b) The number of telephone calls coming into Grace Floral Shop to place orders averages 3 per minute. (i) Define the random variable in this situation and list its values. (ii) Stating its parameter(s), what is the probability distribution of this variable? (iii)Compute the probability that 5 calls will arrive per minute. (iv)Compute the probability that 3 or more calls will arrive in a 3-minute interval?arrow_forwardCustomers arrive at an ATM at the rate of 3 per minute. The arrival rate follows a Poisson distribution. Find the probability that at least 90 seconds will elapse before the arrival of the next customer.arrow_forwardThe mean of X = 10 and the standard deviation of X = 2. The variable X is linearly transformed such that Xnew = a + bX. The mean of Xnew = 800 and the variance of Xnew = 100. Suppose b is a negative number. What does a equal? 4. The mean of X = 5 and the variance of X = 4. The variable X is linearly transformed such that Xnew = a + bX. The mean of Xnew = 400 and the standard deviation of Xnew = 6. Suppose b is a negative number. What does a equal? 5.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:PEARSON
Engineering 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 Learning
Managerial Economics: A Problem Solving ApproachEconomicsISBN:9781337106665Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike ShorPublisher:Cengage Learning
Managerial 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