Test the claim that the mean GPA of night students is smaller
than 3.1 at the 0.005 significance level. You believe the
population is normally distributed, but you do not know the
standard deviation.
The null and alternative hypothesis would be:
H0:μ≥3.1
H1:μ<3.1
H0:p≥0.775H0
H1:p<0.775H1
H0:p=0.775H0
H1:p≠0.775H1
H0:μ=3.1H0
H1:μ≠3.1H1
H0:μ≤3.1H0
H1:μ>3.1H1
H0:p≤0.775H0
H1:p>0.775H1
The test is:
left-tailed
right-tailed
two-tailed
Based on a sample of 20 people, the sample mean GPA was 3.06
with a standard deviation of 0.05
The test statistic is: (to 2 decimals)
The p-value is: (to 2 decimals)
Based on this we:
Sample size = n = 20
Sample mean = = 3.06
Standard deviation = s = 0.05
Claim: The mean GPA of night students is smaller than 3.1
The null and alternative hypothesis is
H0:μ≥3.1
H1:μ<3.1
Level of significance = 0.05
Here population standard deviation is unknown so we have to use
t-test statistic.
Test statistic is
Degrees of freedom = n - 1 = 20 - 1 = 19
Critical value = 2.861 ( Using t table)
Test statistic | t | > Critical value we reject null hypothesis.
Conclusion:The mean GPA of night students is smaller than 3.1
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