The owner of the factory that sells a particular bottled fruit juice claimed that the
average capacity of their product is 250 ml. To test the claim, a consumer group gets
a sample of 100 such bottles, calculates the capacity of each bottle, and then finds
the mean capacity to be 248 ml. The standard deviation s is 5 ml. Use α = 0.03. Will
you reject or not to reject the claim.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=250"
"H_1:\\mu\\not=250"
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 = 0.03," "df=n-1=99" and the critical value for a two-tailed test is "t_c = 2.201819."
The rejection region for this two-tailed test is "R = \\{t:|t|> 2.201819\\}."
The t-statistic is computed as follows:
Since it is observed that "|t|=4> 2.201819=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=0.000122," and since "p=0.000122<0.03=\\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 250, at the "\\alpha = 0.03" significance level.
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