Single-Sample t test. Dr. Altman is testing the effect of her new exercise program for older adults living in assisted living. She specifically wants to know if the program has an effect on an individual’s walking speed. She knows that for humans, the average walking speed is 4 mph. However, she does not know the population variance. Dr. Altman tested 7 individuals and measured their walking speed as follows: 3 mph, 2 mph, 5 mph, 2 mph, 4 mph, 3 mph, and 5 mph Dr. Altman would like to know whether her exercise program has a significant effect on walking speed (positive or negative!). Null hypothesis (H0): Research hypothesis (H1): Step 2) Determine the characteristics of the comparison distribution. Degrees of freedom = df = ________ Mean of the sample = M = _________ Mean of the population = μ = ________ Sum of Squared Deviations for the sample = SS = _________ Estimated variance of the population = S2 = ___________ Variance of the distribution of means = S2M = _________ Standard deviation of the distribution of means = SM = _________ Step 3) Determine the cutoff score on the comparison distribution (using a 0.05 p value): Cutoff score for t distribution = Step 4) Determine your sample’s score on the comparison distribution. t = _________ Step 5) Decide whether or not to reject the null hypothesis.
Single-Sample t test. Dr. Altman is testing the effect of her new exercise program for older adults living in assisted living. She specifically wants to know if the program has an effect on an individual’s walking speed. She knows that for humans, the average walking speed is 4 mph. However, she does not know the population variance. Dr. Altman tested 7 individuals and measured their walking speed as follows:
3 mph, 2 mph, 5 mph, 2 mph, 4 mph, 3 mph, and 5 mph
Dr. Altman would like to know whether her exercise program has a significant effect on walking speed (positive or negative!).
- Null hypothesis (H0):
- Research hypothesis (H1):
Step 2) Determine the characteristics of the comparison distribution.
- Degrees of freedom = df = ________
- Mean of the sample = M = _________
- Mean of the population = μ = ________
- Sum of Squared Deviations for the sample = SS = _________
- Estimated variance of the population = S2 = ___________
- Variance of the distribution of means = S2M = _________
- Standard deviation of the distribution of means = SM = _________
Step 3) Determine the cutoff score on the comparison distribution (using a 0.05 p value):
- Cutoff score for t distribution =
Step 4) Determine your sample’s score on the comparison distribution.
- t = _________
Step 5) Decide whether or not to reject the null hypothesis.
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