Test Bank for Business Statistics, 4th Edition by Sharp (All Chapters included)
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Business Statistics 4th Edition by Sharpe
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Business Statistics 4th Edition By Sharpe
Complete Test Bank for Business Statistics, 4th Edition by Norean R. Sharpe, Richard D. De Veaux, Paul F. Velleman ; ISBN13: 9780137897629...(Full Chapters included and organized in reverse order from Chapter 25 to 1)...1.Data and Decisions (H&M)
2.Visualizing and Describing Categorical Data (Dali...
Business Statistics, 4th Edition by
Norean R. Sharpe
Complete Chapter Test Bank
are included (Ch 1 to 25)
** Immediate Download
** Swift Response
** All Chapters included
,Table of Contents are given below
1.Data and Decisions (H&M)
2.Visualizing and Describing Categorical Data (Dalia Research)
3.Describing, Displaying, and Visualizing Quantitative Data (AIG)
4.Correlation and Linear Regression (Zillow.com)
5.Randomness and Probability (Credit Reports, the Fair Isaacs Corporation,
and Equifax)
6.Random Variables and Probability Models (Metropolitan Life Insurance
Company)
7.The Normal and Other Continuous Distributions (The NYSE)
8.Data Sources: Observational Studies and Surveys (Roper Polls)
9.Data Sources: Experiments (Capital One)
10.Sampling Distributions and Confidence Intervals for Proportions
(Marketing Credit Cards: The MBNA Story)
11.Confidence Intervals for Means (Guinness & Co.)
12.Testing Hypotheses (Casting Ingots)
13.More About Tests and Intervals (Traveler’s Insurance)
14.Comparing Two Means (Visa Global Organization)
15.Inference for Counts: Chi-Square Tests (SAC Capital)
16.Inference for Regression (Nambé Mills)
17.Understanding Residuals (Kellogg’s)
18.Multiple Regression (Zillow.com)
19.Building Multiple Regression Models (Bolliger and Mabillard)
20.Time Series Analysis (Whole Foods Market®)
21.Introduction to Big Data and Data Mining (Paralyzed Veterans of America)
22.Quality Control (Sony)
23.Nonparametric Methods (i4cp)
24.Decision Making and Risk (Data Description, Inc.)
25.Analysis of Experiments and Observational Studies
,The test bank is organized in reverse order, with the last chapter displayed first, to ensure that all
chapters are included in this document. (Complete Chapters included Ch25-1)
Chapter 25: Analysis of Experiments and Observational Studies – Quiz A
Name _______________________
Use the following information for problems 1 through 5:
Management styles differ among organizations and may potentially affect employee’s job
satisfaction. A sample of employees was randomly selected from each of three
companies with different management styles (Authoritarian, Laissez faire and
Participative) and asked to rate their level of job satisfaction on a 10-point scale (10 being
the highest level of satisfaction). The data collected and partial ANOVA results appear
below.
Source DF SS MS F P
Factor 2 97.40
Error 27 37.40
Total 29 134.80
25.1 Analyzing a Design in One Factor—The One-Way Analysis of Variance.
1. What are the null and alternative hypotheses (in words, not symbols)?
25.2 Assumptions and Conditions for ANOVA.
2. Are the conditions / assumptions for ANOVA met?
25.1 Analyzing a Design in One Factor—The One-Way Analysis of Variance.
3. Calculate the F-statistic.
25.1 Analyzing a Design in One Factor—The One-Way Analysis of Variance.
4. The P-value for this statistic turns out to be < .001. State the conclusion.
25.5 Analysis of Multifactor Designs.
5. Suppose that employees fall into several job categories, such as clerical, technical, or
professional. How might this affect the study results? Suggest how the design for the
study could have been improved.
25-1
, 25-2 Chapter 20 Quality Control
Use the following information for problems 6 through 10:
A survey of online consumers asked respondents to indicate how much money they spent
for online purchases during the most recent winter holiday season. These data were
analyzed to see if gender (1 = Female; 2 = Male) and income level (1 = Low, 2 = Middle,
3 = High) influence the amount consumers spend online for holiday shopping. The two
way ANOVA results appear below.
Two-way ANOVA: Online $ versus Income Level, Gender
Source DF SS MS F P
Income Level 2 10377.3 5188.63 140.42 0.000
Gender 1 681.6 681.63 18.45 0.000
Interaction 2 2355.3 1177.63 31.87 0.000
Error 24 886.8 36.95
Total 29 14301.0
25.1 Analyzing a Design in One Factor—The One-Way Analysis of Variance.
6. Is this an experimental or observational study?
25.2 Assumptions and Conditions for ANOVA.
7. Are the conditions for two-way ANOVA met?
25.1 Analyzing a Design in One Factor—The One-Way Analysis of Variance.
8. If so, perform the hypothesis tests and state your conclusions in terms of amount spent
online, gender and income level.
25.1 Analyzing a Design in One Factor—The One-Way Analysis of Variance.
9. Is it appropriate to interpret the main effects in this case? Explain.
25.1 Analyzing a Design in One Factor—The One-Way Analysis of Variance.
10. Identify possible variables that are not included in this data that may influence this
relationship. Label each as a possible confounding or a possible lurking variable.
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