A government agency is investigating a complaint from some concerned citizens who said that there is short-weight selling of rice in a certain town. An agent manufacturer took a random sample of 20 sacks of "50 kilo" sacks of rice from a large shipment and finda that the mean weight is 49.7 kilogram with the standard deviation of 0.35 kilogram. The level of significance is 0.01
The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\ge50"
"H_a:\\mu<50"
This corresponds to a left-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=19" degrees of freedom, and the critical value for a left-tailed test is "t_c =-2.539483."The rejection region for this left-tailed test is "R = \\{t:t<-2.539483\\}."
The t-statistic is computed as follows:
Since it is observed that "t =-3.83326<-2.539483=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for left-tailed "df=19" degrees of freedom, "t=-3.83326" is "p= 0.000561," and since "p=0.000561<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 less than 50, at the "\\alpha = 0.01" significance level.
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