A Average Senior high school annual cost of tuition fee for all private schools last year was php 43.700. a random sample of cost this year for 45 private schools indicated that the sample mean was 45,800 and a sample standard deviation was php5,600.at level of significance, is there sufficient evidence to conclude that the cost increased?
The following null and alternative hypotheses need to be tested:
"H_0: \\mu\\le43700"
"H_1:\\mu>43700"
This corresponds to a right-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=44" degrees of freedom, and the critical value for a right-tailed test is "t_c = 1.68023."
The rejection region for this right-tailed test is "R = \\{t: t > 1.68023\\}."
The t-statistic is computed as follows:
Since it is observed that "t = 2.51558 > t_c = 1.68023," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value for right-tailed "t=2.51558," "df=44" degrees of freedom is "p=0.007804," and since "p=0.007804<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 greater than "43700," at the "\\alpha = 0.05" significance level.
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