1. The average score in the entrance examination in Mathematics at Sto.
Rosario National High School is 80 with a standard deviation of 10.A
random of 40 students was taken from this year's examinees and
was found to have a mean score of 84.
Is there a significant difference between the known mean and the
sample mean? Test at a= 0.05
Solution :
Step 1. H0: = 80 : There is no significant difference
hypothesized and the sample mean.
H1: "\\neq" 80 :
Step 2. Level of significance. a = 0.05.
Step 3. two tailed test, find the critical value. Zt =
4. Compute the test-statistic value:
5. Step :
6. Conclusion:
The following null and alternative hypotheses need to be tested:
"H_0:\\mu=80"
"H_1:\\mu\\not=80"
This corresponds to a two-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 = 0.05," and the critical value for a two-tailed test is "z_c = 1.96."
The rejection region for this two-tailed test is "R = \\{z:|z|>1.96\\}."
The z-statistic is computed as follows:
Since it is observed that "|z|=2.5298>1.96=z_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach:
The p-value is "p=2P(z>2.5298)=0.011413," and since "p= 0.011413<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 80, at the "\\alpha = 0.05" significance level.
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