Ubercharge advertises that its rechargeable batteries can be recharged over 100 times without any decrease in performance (i.e., reduced battery life). An independent firm purchased 50 Ubercharge batteries and recorded the number of times each battery could be recharged until there was a decrease in performance. They reported an average of 96 recharges before a decrease in battery performance with a standard deviation of 3. Which analysis is appropriate for determining whether Ubercharge's claims should be rejected? Assume that all statistical assumptions are met.
The appropriate test that should be done here is Z-test for the mean, sigma unknown.
So the test is

And test statistic is

Hence from the information given,
Sample mean is 96
Population mean is 100
Sigma is 3
and n = 50
We test the hypothesis at 95% confidence level,
| Z Test of Hypothesis for the Mean | |
| Data | |
| Null Hypothesis m= | 100 |
| Level of Significance | 0.05 |
| Population Standard Deviation | 3 |
| Sample Size | 50 |
| Sample Mean | 96 |
| Intermediate Calculations | |
| Standard Error of the Mean | 0.4243 |
| Z Test Statistic | -9.4281 |
| Lower-Tail Test | |
| Lower Critical Value | -1.6449 |
| p-Value | <.01 |
| Reject the null hypothesis |
We reject the null hypothesis at 95% confidence level because
-9.42<-1.64.
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