Question

Carry out the test at the 5% level of significance, so you need to state whether you accept or reject the null hypothesis are the 5% level of significance. We have a population of 500. If we assume a population standard deviation of 3.5 hours spent watching tv, test the hypothesis that the population mean would be at least 14 hours against a one tail alternative, using a level of significance of 5 percent. The mean of the data is equal to 13.52 hours spent watching tv .

Name: carry out the test at the 5 level of significance so you need to state whether you accept or reject the null hypothesis are the 5 level of significance we have a population of 500 if we assu 46367
Uploaded: 2023-06-05T18:55:54-08:00
Duration: 1 min 37 s
Channel: Sri K
Description: carry out the test at the 5 level of significance so you need to state whether you accept or reject the null hypothesis are the 5 level of significance we have a population of 500 if we assu 46367

          Carry out the test at the 5% level of significance, so
you need to state whether you accept or reject the null hypothesis
are the 5% level of significance.
We have a population of 500. If we assume a population standard
deviation of 3.5 hours spent watching tv, test the hypothesis that
the population mean would be at least 14 hours against a one tail
alternative, using a level of significance of 5 percent. The mean
of the data is equal to 13.52 hours spent watching tv .

Added by Kimberly K.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Sri K

06/05/2023

Step 1

State the null hypothesis (H0) and alternative hypothesis (H1): H0: μ ≥ 14 (The population mean is at least 14 hours) H1: μ < 14 (The population mean is less than 14 hours) Show more…

Show all steps

Thanks for your feedback!

Carry out the test at the 5% level of significance, so you need to state whether you accept or reject the null hypothesis are the 5% level of significance. We have a population of 500. If we assume a population standard deviation of 3.5 hours spent watching tv, test the hypothesis that the population mean would be at least 14 hours against a one tail alternative, using a level of significance of 5 percent. The mean of the data is equal to 13.52 hours spent watching tv .