A manufacturer of fluorescent bulbs claims that mean life of fluorescent bulb is 400 hours. a sample of 35 fluorescent bulbs was taken and it showed a mean of 399 hours with a standard deviation of 1.1 hours, is the mean life different from 400 hours? use the 0.05 significance level.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=400"
"H_1:\\mu\\not=400"
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=0.05, df=n-1"
"=35-1=34" degrees of freedom, and the critical value for a two-tailed test is"t_c= 2.032244."
The rejection region for this two-tailed test is "R=\\{t:|t|> 2.032244\\}."
The t-statistic is computed as follows:
Since it is observed that "|t|=5.378254>2.032244=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value for two-tailed, "\\alpha=0.05, df=34," "t=-5.378254" is "p=0.000006," and since "p=0.000006<0.05=\\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 400, at the "\\alpha=0.05" significance level.
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