A researcher claims that 10-year old children watch 6.6 hours of TV daily on average. You try to verify this for a sample of size 100 with mean 6.1 hours and standard deviation 2.5 hours.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=6.6"
"H_1:\\mu\\not=6.6"
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=100-1=99" degrees of freedom and the critical value for a two-tailed test is "t_c=1.9842."
The rejection region for this two-tailed test is "R=\\{t: |t|>1.9842\\}"
The t-statistic is computed as follows:
Since it is observed that "|t|=2>1.9842=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value for "\\alpha=0.05, df=99" degrees of freedom, two-tailed, "t=-2" is "p=0.04824," and since "p=0.04824<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 "6.6," at the "\\alpha=0.05" significance level.
Comments
Leave a comment