In: Statistics and Probability
1. Test the claim that the mean GPA of night students is
significantly different than the mean GPA of day students at the
0.1 significance level.
The null and alternative hypothesis would be:
H0:pN≤pDH0:pN≤pD H0:pN≥pDH0:pN≥pD H0:μN≥μDH0:μN≥μD H0:μN≤μDH0:μN≤μD H0:μN=μDH0:μN=μD H0:pN=pDH0:pN=pD |
The test is:
right-tailed
left-tailed
two-tailed
The sample consisted of 12 night students, with a sample mean GPA
of 3.13 and a standard deviation of 0.04, and 10 day students, with
a sample mean GPA of 3.15 and a standard deviation of 0.08.
test statistic = | |
[three decimal accuracy] | |
p-value = | |
[three decimal accuracy] |
Based on this we:
2. Heart rates are determined before and 30 minutes after a
Kettleball workout. It can be assumed that heart rates (bpm) are
normally distributed. Use the data provided below to test to
determine if average heart rates prior to the workout are
significantly lower than 30 minutes after a Kettleball workout at
the 0.10 level of significance. Let μ1μ1 = mean before
workout.
|
Select the correct Hypotheses:
H0:μ1≥μ2H0:μ1≥μ2 H0:μ1≤μ2H0:μ1≤μ2 H0:μd≥0H0:μd≥0 H0:μd≤0H0:μd≤0 H0:μ1=μ2H0:μ1=μ2 H0:μd=0H0:μd=0 |
Test Statistic, ttest = | |
[three decimal accuracy] | |
p-value = | |
[three decimal accuracy] |
Conclusion:
Interpret the conclusion in context:
3. Heart rates are determined before and 30 minutes after a
Kettleball workout. It can be assumed that heart rates (bpm) are
normally distributed. Use the data provided below to test to
determine if average heart rates prior to the workout are
significantly lower than 30 minutes after a Kettleball workout at
the 0.02 level of significance. Let μ1μ1 = mean before
workout.
|
Construct the appropriate confidence interval for the given level
of significance.
( | , | ) | |
[three decimal accuracy] | [three decimal accuracy] |