The principal claims that the students in his school are above average intelligence. A random sample of 35 IQ scores have a mean score of 110.5. Is there sufficient evidence to support the principal’s claim? The mean population IQ is 100 with a standard deviation of 25. Use =1%.
The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\le100"
"H_1:\\mu>100"
This corresponds to a right-tailed test, for which a z-test for one mean, with known population standard deviation will be used.
Based on the information provided, the significance level is "\\alpha = 0.01," and the critical value for a right-tailed test is "z_c = 2.3263."
The rejection region for this right-tailed test is "R = \\{z:z>2.3263\\}."
The z-statistic is computed as follows:
Since it is observed that "z=2.4848>2.3263=z_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value is "p=P(z>2.4848)=0.006481," and since "p=0.006481<0.01=\\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 100, at the "\\alpha = 0.01" significance level.
Comments
Leave a comment