The ABC Company has developed a new cellphone model. The engineering department claims that its battery lasts for 4 days. In order to test this claim, the company selects a random sample of 100 new cellphones so that this sample has a mean battery life of 2.5 days with a standard deviation of 1 day.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=4"
"H_1:\\mu\\not=4"
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 = 0.01," "df=n-1=99" and the critical value for a two-tailed test is "t_c =2.626405."
The rejection region for this two-tailed test is "R = \\{t:|t|>2.626405\\}."
The t-statistic is computed as follows:
Since it is observed that "|t|=15>2.626405=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for two-tailed, "df=99" degrees of freedom, "t=-4" is "p=0," and since "p= 0<0.01=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu"
is different than 4, at the "\\alpha = 0.01" significance level.
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