An auto battery company claims that their batteries' mean life is 50 months. In order to check this cla, a DTI researcher took a random sample 18 of these batteries and found that the mean life is 48.8 months with standard deviation of 7 months. Aasume the battery life follows a normal destribution, test with 90% confidence wether the companies'claim is different from the true mean.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=50"
"H_1:\\mu\\not=50"
This corresponds to a two-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
Based on the information provided, the significance level is "\\alpha = 0.10," "df=n-1=17" and the critical value for a two-tailed test is "t_c =1.7396."
The rejection region for this two-tailed test is "R = \\{t:|t|>1.7396\\}."
The t-statistic is computed as follows:
Since it is observed that "|t|=0.7273<1.7396=t_c," it is then concluded that the null hypothesis is not rejected.
Using the P-value approach:
The p-value for two-tailed, "df=17" degrees of freedom, "t=-0.7273" is "p=0.47694," and since "p= 0.47694>0.10=\\alpha," it is concluded that the null hypothesis is not rejected.
Therefore, there is not enough evidence to claim that the population mean "\\mu"
is different than 50, at the "\\alpha = 0.10" significance level.
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