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...



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?





A. H
0:p = 100 versusH
a:p ≠ 100, wherep = the true proportion of junk emails received this day by employees of this company


B. H
0:p = 100 versusH
a:p > 100, wherep = the true proportion of junk emails received this day by employees of this company


C. H
0:μ = 100 versusH
a:μ ≠ 100, whereμ = the true mean number of junk emails received this day by employees of this company


D. H
0:μ = 100 versusH
a:μ > 100, whereμ = the true mean number of junk emails received this day by employees of this company



Jun 01, 2022
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