Question

PLEASE HELP FAST!!A IT IS URGENT!!!

A company executive claims thal employees in his industry get 100 junk emals per day. To further investigate this claim, the tech department of the company conducts a study. The executve 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 ditfer from 100. They decide to carry out a test of H0: =100 versus H p100, where p= the true mean number of junk emails receved this day by employees of this company. What conclusion should be made? Use a =0.05.
A. Because the Pvalue is less than 0.05, the null hypothesis should be rejected.
B. Because the P-value is greater than 0.05, the null hypothes is should be rejected.
C. Because the P-value is less than 0,05, the null hypothesis should not be rejected. D. Because the P-value is greater than 0.05, the null hypothesis should not be rejected.​

Answer 1

Answer: D

Explanation:

Answer: D. Because the P-value is greater than 0.05, the null hypothesis should not be rejected.

The P-value is a measure of the probability of obtaining a sample mean at least as extreme as the one that was observed, if the null hypothesis is true. A P-value of greater than 0.05 means that there is not enough evidence to reject the null hypothesis. Therefore, in this case, the data provides insufficient evidence to conclude that the true mean number of junk emails received this day by employees of this company differs from 100.