STAT TECH IN BUSINESS & ECON LL\AC
18th Edition
ISBN: 9781264720545
Author: Lind
Publisher: MCG
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Chapter 6, Problem 40CE
a.
To determine
Explain the possible monetary outcomes of Person U.
b.
To determine
Find the probabilities of the possible monetary outcomes.
c.
To determine
Summarize Person U’s experiment as
d.
To determine
Find the
Explain the result obtained.
e.
To determine
Find the expected return to the Club if all 80 tickets are sold.
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West Virginia has one of the highest divorce rates in the nation, with an annual rate of approximately 5 divorces per 1000 people (Centers for Disease Control and Prevention website, January 12, 2012). The Marital Counseling Center, Inc. (MCC) thinks that the high divorce rate in the state may require them to hire additional staff.
Working with a consultant, the management of MCC has developed the following probability distribution for x = the number of new clients for marriage counseling for the next year.
Excel File: data05-19.xls
10
20
f(x)
.05
.10
11
30
40
50
60
.10
.20
.35
.20
a. Is this probability distribution valid?
Yes
Explain.
greater than or equal to 0
f(x)
Σf(x)
equal to 1
b. What is the probability MCC will obtain more than 30 new clients (to 2 decimals)?
c. What is the probability MCC will obtain fewer than 20 new clients (to 2 decimals)?
d. Compute the expected value and variance of x.
Expected value
Variance
clients per year
squared clients per year
Reconsider the patient satisfaction data in Table 1. Fit a multiple regression model using both patient age and
severity as the regressors.
(a) Test for significance of regression.
(b) Test for the individual contribution of the two regressors. Are both regressor variables needed in the model?
(c) Has adding severity to the model improved the quality of the model fit? Explain your answer.
The output voltage of a power supply is assumed to be normally distributed. Sixteen observations taken at
random on voltage are as follows: 10.35, 9.30, 10.00, 9.96, 11.65, 12.00, 11.25, 9.58, 11.54, 9.95, 10.28, 8.37,
10.44, 9.25, 9.38, and 10.85.
(a) Test the hypothesis that the mean voltage equals 12 V against a two-sided alternative using a = 0.05.
(b) Construct a 95% two-sided confidence interval on μ.
(c) Test the hypothesis that σ² = 11 using α = 0.05.
(d) Construct a 95% two-sided confidence interval on σ.
(e) Construct a 95% upper confidence interval on σ.
(f) Does the assumption of normality seem reasonable for the output voltage?
Chapter 6 Solutions
STAT TECH IN BUSINESS & ECON LL\AC
Ch. 6 - The possible outcomes of an experiment involving...Ch. 6 - The Pizza Palace offers three sizes of cola. The...Ch. 6 - FILE Compute the mean and variance of the...Ch. 6 - FILE Compute the mean and variance of the...Ch. 6 - FILE Compute the mean and variance of the...Ch. 6 - Which of these variables are discrete and which...Ch. 6 - FILE The information below is the number of daily...Ch. 6 - FILE The director of admissions at Kinzua...Ch. 6 - Prob. 7ECh. 6 - Prob. 8E
Ch. 6 - Ninety-five percent of the employees at the J. M....Ch. 6 - In a binomial situation, n = 4 and = .25....Ch. 6 - Prob. 10ECh. 6 - Prob. 11ECh. 6 - Assume a binomial distribution where n = 5 and =...Ch. 6 - An American Society of Investors survey found 30%...Ch. 6 - Prob. 14ECh. 6 - Prob. 15ECh. 6 - FILE A telemarketer makes six phone calls per hour...Ch. 6 - Prob. 17ECh. 6 - Prob. 18ECh. 6 - Prob. 4SRCh. 6 - Prob. 19ECh. 6 - In a binomial distribution, n = 12 and = .60....Ch. 6 - FILE In a recent study, 90% of the homes in the...Ch. 6 - FILE A manufacturer of window frames knows from...Ch. 6 - Prob. 23ECh. 6 - Prob. 24ECh. 6 - Prob. 5SRCh. 6 - Prob. 25ECh. 6 - A population consists of 15 items, 10 of which are...Ch. 6 - Prob. 27ECh. 6 - Prob. 28ECh. 6 - Prob. 29ECh. 6 - Prob. 30ECh. 6 - Prob. 6SRCh. 6 - Prob. 31ECh. 6 - Prob. 32ECh. 6 - Prob. 33ECh. 6 - Automobiles arrive at the Elkhart exit of the...Ch. 6 - It is estimated that 0.5% of the callers to the...Ch. 6 - Prob. 36ECh. 6 - Prob. 37CECh. 6 - For each of the following indicate whether the...Ch. 6 - Prob. 39CECh. 6 - Prob. 40CECh. 6 - Prob. 41CECh. 6 - The payouts for the Powerball lottery and their...Ch. 6 - In a recent study, 35% of people surveyed...Ch. 6 - Prob. 44CECh. 6 - An auditor for Health Maintenance Services of...Ch. 6 - Prob. 46CECh. 6 - Prob. 47CECh. 6 - The Bank of Hawaii reports that 7% of its credit...Ch. 6 - Prob. 49CECh. 6 - Prob. 50CECh. 6 - Prob. 51CECh. 6 - Prob. 52CECh. 6 - Prob. 53CECh. 6 - Prob. 54CECh. 6 - Prob. 55CECh. 6 - Prob. 56CECh. 6 - Prob. 57CECh. 6 - Prob. 58CECh. 6 - Prob. 59CECh. 6 - Prob. 60CECh. 6 - Prob. 61CECh. 6 - Prob. 62CECh. 6 - Prob. 63CECh. 6 - Prob. 64CECh. 6 - The National Aeronautics and Space Administration...Ch. 6 - Prob. 66CECh. 6 - Prob. 67CECh. 6 - Prob. 68CECh. 6 - Prob. 69CECh. 6 - Prob. 70DACh. 6 - Prob. 71DA
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- Analyze the residuals from the regression model on the patient satisfaction data from Exercise 3. Comment on the adequacy of the regression model.arrow_forwardConsider the hypotheses: Hop=po H₁ppo where 2 is known. Derive a general expression for determining the sample size for detecting a true mean of 1μo with probability 1-ẞ if the type I error is a.arrow_forwardSuppose we wish to test the hypotheses: Họ : | = 15 H₁: 15 where we know that o² = 9.0. If the true mean is really 20, what sample size must be used to ensure that the probability of type II error is no greater than 0.10? Assume that a = 0.05.arrow_forward
- Table 1 contains the data from a patient satisfaction survey for a group of 25 randomly selected patients at a hospital. In addition to satisfaction, data were collected on patient age and an index that measured the severity of illness. (a) Fit a linear regression model relating satisfaction to patient age. (b) Test for significance of regression. (c) What portion of the total variability is accounted for by the regressor variable age? Table 1: Patient Satisfaction Data Severity Observation Age (21) (x2) Satisfaction (y) 1 55 50 2 46 24 3 30 46 4 35 48 5 59 58 6 61 60 7 74 65 8 38 42 9 27 42 10 51 50 11 53 38 12 41 30 13 37 31 88 14 24 34 15 42 30 16 50 48 17 58 61 18 60 71 19 62 62 20 68 38 21 70 41 22 79 66 23 63 31 24 39 42 25 49 40 BE225222222222222222 68 77 96 80 43 44 26 88 75 57 56 88 102 88 70 43 46 56 59 26 83 75arrow_forward14 A survey is conducted to determine whether would prefer to work at home, if given the 20 office employees of a certain company chance. The overall results are shown in the first bar graph, and the results broken down by gender are presented in the second. a. Interpret the results of each graph. b. Discuss the added value in including gen- der in the second bar graph. (The second bar graph in this problem is called a side by side bar graph and is often used to show results broken down by two or more variables.) c. Compare the side by side bar graph with the two pie charts that you made for Question 6. Which of the two methods is best for comparing two groups, in your opinion? A Would you prefer to work at home? (n=20) 60 50 40 Percent 20 30 20 30 10 0 No Yes Prefer to work at home? (10 males, 10 females) 80 Percent 60 00 40 40 20- No Yes No Yes Female Malearrow_forwardFrequency 12 Suppose that a random sample of 270 gradu- ating seniors are asked what their immediate priorities are, including whether buying a house is a priority. The results are shown in the following bar graph. a. The bar graph is misleading; explain why. b. Make a new bar graph that more fairly presents the results. Is Buying a House a Priority? 300 250 200 150 100 50 0 Yes No Undecidedarrow_forward
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