A data set includes data from student evaluations of courses. The summary statistics are n=99, x=3.92, s=0.58. Use a 0.05 significance level to test the claim that the population of student course evaluations has a mean equal to 4.00. Assume that a simple random sample has been selected. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim.
Here, we have to use one sample t test for the population mean.
The null and alternative hypotheses are given as below:
H0: µ = 4 versus Ha: µ ≠ 4
This is a two tailed test.
The test statistic formula is given as below:
t = (Xbar - µ)/[S/sqrt(n)]
From given data, we have
µ = 4
Xbar = 3.92
S = 0.58
n = 99
df = n – 1 = 98
α = 0.05
Critical value = - 1.9845 and 1.9845
(by using t-table or excel)
t = (Xbar - µ)/[S/sqrt(n)]
t = (3.92 – 4)/[0.58/sqrt(99)]
t = -1.3724
P-value = 0.1731
(by using t-table)
P-value > α = 0.05
So, we do not reject the null hypothesis
There is sufficient evidence to conclude that the population of student course evaluations has a mean equal to 4.00.
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