A. The researcher is interested in assessing if there is a relationship between primary time spent at work and energy level for the population of all full-time employees. Will a Goodness of fit test or test of independence be performed by the researcher? B. If there is NO relationship between primary time spent at work and energy level for the population of all full-time employees, what is the mean of the test statistic? C. Does there appear to be a relationship between primary time spent at work and energy level for the population of all full-time employees? (Make sure to think about the reasoning behind your answer.)

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
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A. The researcher is interested in assessing if there is a relationship between primary time spent at work and energy level for the population of all full-time employees. Will a Goodness of fit test or test of independence be performed by the researcher?

B. If there is NO relationship between primary time spent at work and energy level for the population of all full-time employees, what is the mean of the test statistic?

C. Does there appear to be a relationship between primary time spent at work and energy level for the population of all full-time employees? (Make sure to think about the reasoning behind your answer.)

A survey of a random sample of 300 full-time employees was obtained to assess if there is an association between how they primarily spend their time
at work (mostly sitting, split sitting and standing, mostly standing) and their general energy level (low energy, moderate energy, high energy).
Mostly
Sitting
49
Split Sitting and
Standing
Mostly
Standing
10
Total
Low Energy
44
103
Moderate
Energy
High Energy
42
51
37
130
17
26
24
67
Total
108
121
71
300
The data were entered into R and part of the output is provided.
Pearson's Chi-squared test
data:
employees
X-squared = 20.573, df = 4, p-value = 0.0003847
Transcribed Image Text:A survey of a random sample of 300 full-time employees was obtained to assess if there is an association between how they primarily spend their time at work (mostly sitting, split sitting and standing, mostly standing) and their general energy level (low energy, moderate energy, high energy). Mostly Sitting 49 Split Sitting and Standing Mostly Standing 10 Total Low Energy 44 103 Moderate Energy High Energy 42 51 37 130 17 26 24 67 Total 108 121 71 300 The data were entered into R and part of the output is provided. Pearson's Chi-squared test data: employees X-squared = 20.573, df = 4, p-value = 0.0003847
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