weekly wages of 10 workers at random from factory are given below
We have sample values 578,572,570,568,572,578,570,572,596,584, sample size n=10.
Sample mean
"\\bar{x}=\\dfrac{1}{10}(578+572+570+568+572"
Sample variance
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=580"
"H_1:\\mu\\not=580"
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=9" and the critical value for two-tailed test is "t_c =2.262156."
The rejection region for this two-tailed test is "R = \\{t:|t|>2.262156\\}."
The t-statistic is computed as follows:
Since it is observed that "|t|=1.4816<2.262156=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=9" degrees of freedom, "t=-1.4816" is "p=0.172588," and since "p=0.172588>0.05=\\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 580, at the "\\alpha = 0.05" significance level.
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