Business Statistics: A First Course (8th Edition)
8th Edition
ISBN: 9780135177785
Author: David M. Levine, Kathryn A. Szabat, David F. Stephan
Publisher: PEARSON
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Is there a difference in the satisfaction rating of traditional cellphone providers who bill for service at the end of a month often under a contract and prepaid cellphone service providers who bill in advance without a contract? The accompanying table contains the satisfaction rating for 10 traditional cellphone providers and 13 prepaid cellphone service providers.
Assuming that the population variances from both types of cellphone providers are equal, is there evidence of a difference in the mean ratings between the two types of cellphone providers? (Use
α=0.10.)
Let population 1 be the ratings of the traditional cellphone providers and let population 2 be the ratings of the prepaid cellphone providers. What are the correct null and alternative hypotheses?
A. H0: μ1−μ2≥0
H1: μ1−μ2<0
B. H0: μ1−μ2≤0
H1: μ1−μ2>0
C. H0: μ1−μ2=0
H1: μ1−μ2≠0
D. H0: μ1−μ2≠0
H1: μ1−μ2=0
tSTAT=___
p-value=____
Choose the…
A study of the career plans of young women and men sent questionnaires to all members of the senior class in a College of Business Administration at the University of Illinois. One question asked which major within the business program the student had chosen. Another question asked about their job status, whether they worked full-time (40+ hours/week) or part-time (<40 hours/week). Here are the data from the students who responded.
accounting
administration
economics
total
work full time
68
91
5
164
work part time
56
40
6
102
total
124
131
11
266
The expected number of responses were tabulated as the following:
accounting
administration
economics
total
work full time
76.45
80.77
6.78
164
work part time
47.55
50.23
4.22
102
total
124
131
11
266
Conduct a χ2 test at α = .005 to determine if the job status of the students is independent of their choice of major.
On all hypothesis test: 1) clearly state the null and alternative hypotheses; 2) sketch a graph…
Some association On-Line Discount Broker Survey polls members on their experiences with discount brokers. As part of the survey, members were asked to rate the quality of the speed of execution with their broker as well as provide an overall satisfaction rating for electronic trades. Possible responses (scores) were no opinion (0), unsatisfied (l), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker summary scores were computed by calculating a weighted average of the scores provided by each respondent. A portion of the survey results is contained in the Excel Online file below.
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- Some association On-Line Discount Broker Survey polls members on their experiences with discount brokers. As part of the survey, members were asked to rate the quality of the speed of execution with their broker as well as provide an overall satisfaction rating for electronic trades. Possible responses (scores) were no opinion (0), unsatisfied (l), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker summary scores were computed by calculating a weighted average of the scores provided by each respondent. A portion of the survey results is contained in the Excel Online file below. Construct a spreadsheet to answer the following questions.arrow_forwardU.S. Department of Transportation As an auto insurance risk analyst, it is your job to research risk profiles for various types of drivers. One common area of concern for auto insurance companies is the risk involved when offering policies to younger, less experienced drivers. The U.S. Department of Transportation recently conducted a study in which it analyzed the relationship between 1) the number of fatal accidents per 1000 licenses, and 2) the percentage of licensed drivers under the age of 21 in a sample of 42 cities. Your first step in the analysis is to construct a scatterplot of the data. FIGURE. SCATTERPLOT FOR U.S. DEPARTMENT OF TRANSPORATION PROBLEM U.S. Department of Transportation The Relationship Between Fatal Accident Frequency and Driver Age 4.5 4. 3.5 3. 2.5 1.5 0.5 0. 6. 8 10 12 14 16 18 20 Percentage of drivers under age 21 pon visual inspection, you determine that the variables do have a linear relationship. After a linear pattern has been established visually, you…arrow_forwardA restaurant owner decides that more than half of their customers prefer chocolate ice cream because chocolate is the mode when customers are offered their choice of chocolate, vanilla, and strawberry. you are trying to decide if the restaurant owner is using the correct term to describe the data set. Set up two data sets, one where the restaurant owner is correct and one where the restaurant owner is false. Explain why the restaurant owner is not using the correct definition for the term (Mean, Median, or Mode) that they pickedarrow_forward
- What is the impact of independent variables (income, types of degrees, quality of education) on increased college wage premium?arrow_forwardIn a study to see if there is a relationship between students' consumption of alcoholic beverages and their grade point averages, the drinking behavior would be the presumed cause or ------- variable and the GPA would be the effect or -------- variable.arrow_forwardMost engaged couples expect or at least hope that they will have high levels of marital satisfaction. However, because 54% of first marriages end in divorce, social scientists have begun investigating influences on marital satisfaction. Suppose a social psychologist sets out to look at the role of sexual orientation in relationship longevity. He decides to measure marital satisfaction in a group of homosexual couples and a group of heterosexual couples. He chooses the Marital Satisfaction Inventory, because it refers to “partner” and “relationship” rather than “spouse” and “marriage,” which makes it useful for research with both traditional and nontraditional couples. Higher scores on the Marital Satisfaction Inventory indicate greater satisfaction. There is one score per couple. Assume that these scores are normally distributed and that the variances of the scores are the same among homosexual couples as among heterosexual couples. The psychologist thinks that homosexual couples…arrow_forward
- The personality characteristics of business leaders (e.g., CEOs) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership . Among a sample of n = 16 managers , the sample mean of the openness to experiences dimension of personality was M = 4.50 . Assuming that mu = 4.24 and sigma = 1.05 (Cobb -Clark & Schurer , 2012) , use a two-dailed hypothesis test with alpha = .05 to test the hypothesis that this company's business leaders ' openness to experience is different from the population .arrow_forwardThe personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…arrow_forward
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