In a study of television viewing, the mean number of television program they watched during daytime was 7. A survey was conducted on the random sample of 25 households and found that the mean number of television program they watched during daytime was 5 with a standard deviation of 1.5. Test the hypothesis at 10% level of significance.
Parameter: _______________________________________
Statistic: ________________________________
Null Hypothesis: ____________________________________________________
Alternative hypothesis: _____________________________________________
Parameter: "\\mu," the mean number of television program they watched during daytime
Statistic: "t-" statistic, two-tailed test
Null Hypothesis: "H_0:\\mu=7"
Alternative hypothesis: "H_a:\\mu\\not=7"
1. The following null and alternative hypotheses need to be tested:
"H_0:\\mu=7"
"H_a:\\mu\\not=7"
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.
2. Based on the information provided, the significance level is "\\alpha = 0.10," "df=n-1=24" degrees of freedom, and the critical value for a two-tailed test is "t_c = 1.710882."
3. The rejection region for this two-tailed test is "R = \\{t: |t| > 1.710882\\}."
4. The t-statistic is computed as follows:
5. Since it is observed that "|t| =6.6667>1.710882=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for two-tailed, "df=24" degrees of freedom, "t=-6.6667" is "p=0.000001," and since "p= 0.000001<0.10=\\alpha," it is concluded that the null hypothesis is rejected.
6.Therefore, there is enough evidence to claim that the population mean "\\mu"
is different than 7, at the "\\alpha = 0.10" significance level.
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