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(a) (b) (c) (d) What is the variable of interest? Is it qualitative or quantitative? If it is qualitative, is it ranked or unranked? If it is quantitative, is it discrete or continuous? What is its level of measurement? What is the experimental design? Explain your answers. Do these data provide sufficient evidence to indicate at the 5% significance level that the three models are not equally preferred? State the hypotheses, perform the appropriate test with R, report the observed test statistic, make a statistical decision, and draw the implied conclusion. Provide both code and printout from R. Calculate the test statistic manually for the test you performed with R in part (b). Does your test statistic match the one reported by R? What are the requirements of the test you performed in parts (b) and (c)? Are they satisfied this time, or do you have to assume that they are met? Provide evidence to support these conclusions.

(a) (b) (c) (d) What is the variable of interest? Is it qualitative or quantitative? If it is qualitative, is it ranked or unranked? If it is quantitative, is it discrete or continuous? What is its level of measurement? What is the experimental design? Explain your answers. Do these data provide sufficient evidence to indicate at the 5% significance level that the three models are not equally preferred? State the hypotheses, perform the appropriate test with R, report the observed test statistic, make a statistical decision, and draw the implied conclusion. Provide both code and printout from R. Calculate the test statistic manually for the test you performed with R in part (b). Does your test statistic match the one reported by R? What are the requirements of the test you performed in parts (b) and (c)? Are they satisfied this time, or do you have to assume that they are met? Provide evidence to support these conclusions.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 23PPS
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Suppose the HR manager of a company is interested in determining whether there is a difference in employee satisfaction across three different office locations. They randomly select 20 employees and ask each employee to rate their satisfaction with each office location on a scale of 1 (very dissatisfied) to 5 (very satisfied). The data are presented below: Employee 1 2 3 st 4 LO 5 67 ∞ 8 9 10 11 12 13 14 15 16 17 18 19 ܘ ܗ 20 Office Location Location A 4 слор 3 5 24 4 3 5 PNU 2 4 4 2 4 Location Location B C 2 5 4 3 5 2 4 3 4 3 5 2 5 3 5 3 5 3 45 ~ 34 35 3 543 5 3 5 4 2 4 3 2 4 3 2 ышриш 5 2 4 3 5 2 2 4 2
Transcribed Image Text:Suppose the HR manager of a company is interested in determining whether there is a difference in employee satisfaction across three different office locations. They randomly select 20 employees and ask each employee to rate their satisfaction with each office location on a scale of 1 (very dissatisfied) to 5 (very satisfied). The data are presented below: Employee 1 2 3 st 4 LO 5 67 ∞ 8 9 10 11 12 13 14 15 16 17 18 19 ܘ ܗ 20 Office Location Location A 4 слор 3 5 24 4 3 5 PNU 2 4 4 2 4 Location Location B C 2 5 4 3 5 2 4 3 4 3 5 2 5 3 5 3 5 3 45 ~ 34 35 3 543 5 3 5 4 2 4 3 2 4 3 2 ышриш 5 2 4 3 5 2 2 4 2
(a) (b) (c) (d) What is the variable of interest? Is it qualitative or quantitative? If it is qualitative, is it ranked or unranked? If it is quantitative, is it discrete or continuous? What is its level of measurement? What is the experimental design? Explain your answers. Do these data provide sufficient evidence to indicate at the 5% significance level that the three models are not equally preferred? State the hypotheses, perform the appropriate test with R, report the observed test statistic, make a statistical decision, and draw the implied conclusion. Provide both code and printout from R. Calculate the test statistic manually for the test you performed with R in part (b). Does your test statistic match the one reported by R? What are the requirements of the test you performed in parts (b) and (c)? Are they satisfied this time, or do you have to assume that they are met? Provide evidence to support these conclusions.
Transcribed Image Text:(a) (b) (c) (d) What is the variable of interest? Is it qualitative or quantitative? If it is qualitative, is it ranked or unranked? If it is quantitative, is it discrete or continuous? What is its level of measurement? What is the experimental design? Explain your answers. Do these data provide sufficient evidence to indicate at the 5% significance level that the three models are not equally preferred? State the hypotheses, perform the appropriate test with R, report the observed test statistic, make a statistical decision, and draw the implied conclusion. Provide both code and printout from R. Calculate the test statistic manually for the test you performed with R in part (b). Does your test statistic match the one reported by R? What are the requirements of the test you performed in parts (b) and (c)? Are they satisfied this time, or do you have to assume that they are met? Provide evidence to support these conclusions.
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