A sample size 40 from a non-normal population yielded the sample mean X= 71 and S2 =200. Test H0: µ=72 against H1: µ≠72. Use α= 0.05.
Since the sample is large enough(n>30), the sampling distribution of the mean is normal.
we calculate the test statistic,
"t=\\frac{\\bar X-\\mu}{\\frac{s}{\\sqrt n}}"
"=\\frac{71-72}{\\frac {\\sqrt{200}}{\\sqrt{40}}}"
=-0.447
The degrees of freedom is (n-1)=40-1=39. This is a two sided hypothesis, the critical value will be
"t_{{\\alpha\/2}, 39}=t_{0.025,39}=2.023" from the t-tables.
if the absolute t- value is greater than the critical value we reject the null hypothesis.
|-0.447|<2.023
we therefore fail to reject the null hypothesis at 5% level of significance. The population mean is equal to 72.
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