A company executive claims that employees in his industry get 100 junk emails per day. To further investigate this claim, the tech department of the company conducts a study. The executive selects a random sample of 10 employees and records the number of junk emails they received that day. Here are the data: 125, 101, 109, 94, 122, 92, 119, 90, 118, 122. The tech department would like to determine if the data provide convincing evidence that the true mean number of junk emails received this day by employees of this company differs from 100. What are the appropriate hypotheses?

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 6E
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A company executive claims that employees in his industry get 100 junk emails per day. To further
investigate this claim, the tech department of the company conducts a study. The executive selects a
random sample of 10 employees and records the number of junk emails they received that day. Here are the
data: 125, 101, 109, 94, 122, 92, 119, 90, 118, 122. The tech department would like to determine if the data
provide convincing evidence that the true mean number of junk emails received this day by employees of this
company differs from 100. What are the appropriate hypotheses?
O Ho: p= 100 versus Ha: p = 100, where p = the true proportion of junk emails received this day by
employees of this company
O Ho: p= 100 versus Ha: p > 100, where p = the true proportion of junk emails received this day by
employees of this company
O Ho: μ = 100 versus Ha: # 100, where μ = the true mean number of junk emails received this day by
employees of this company
O Ho: μ = 100 versus Ha: > 100, where μ = the true mean number of junk emails received this day by
employees of this company
Transcribed Image Text:A company executive claims that employees in his industry get 100 junk emails per day. To further investigate this claim, the tech department of the company conducts a study. The executive selects a random sample of 10 employees and records the number of junk emails they received that day. Here are the data: 125, 101, 109, 94, 122, 92, 119, 90, 118, 122. The tech department would like to determine if the data provide convincing evidence that the true mean number of junk emails received this day by employees of this company differs from 100. What are the appropriate hypotheses? O Ho: p= 100 versus Ha: p = 100, where p = the true proportion of junk emails received this day by employees of this company O Ho: p= 100 versus Ha: p > 100, where p = the true proportion of junk emails received this day by employees of this company O Ho: μ = 100 versus Ha: # 100, where μ = the true mean number of junk emails received this day by employees of this company O Ho: μ = 100 versus Ha: > 100, where μ = the true mean number of junk emails received this day by employees of this company
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