t Test for Dependent Means. A psychologist is trying to understand the effect of giving information about alcohol use to college students has on their alcohol consumption. To do so, the psychologist assesses freshman student’s knowledge of alcohol before an informational lecture and then assesses their knowledge again after the informational lecture. Using the information provided, conduct an appropriate t test to determine whether or not the informational lecture changes freshman student’s knowledge about alcohol. Knowledge Before Knowledge After 10 15 3 18 9 20 6 19 4 13 Step 1) Null Hypothesis (H0): Research Hypothesis (H1): Step 2) Determine the characteristics of the comparison distribution. Degrees of freedom = df = ________ Mean of the differences = M = _________ Mean of the population = μ = ________ Sum of Squared Deviations of the differences = SS = _________ Population variance estimated from the differences = S2 = ___________ Variance of the comparison distribution = S2M = _________ Standard deviation of the comparison distribution = SM = _________ Step 3) Determine the cutoff score on the t distribution (use a 0.05 p value). Cut-off = _________ Step 4) Determine your sample’s t score. t = ___________ Step 5) Decide whether or not to reject null hypothesis. What do you conclude?
t Test for Dependent Means. A psychologist is trying to understand the effect of giving information about alcohol use to college students has on their alcohol consumption. To do so, the psychologist assesses freshman student’s knowledge of alcohol before an informational lecture and then assesses their knowledge again after the informational lecture. Using the information provided, conduct an appropriate t test to determine whether or not the informational lecture changes freshman student’s knowledge about alcohol.
Knowledge Before |
Knowledge After |
10 |
15 |
3 |
18 |
9 |
20 |
6 |
19 |
4 |
13 |
Step 1)
- Null Hypothesis (H0):
- Research Hypothesis (H1):
Step 2) Determine the characteristics of the comparison distribution.
- Degrees of freedom = df = ________
Mean of the differences = M = _________- Mean of the population = μ = ________
- Sum of Squared Deviations of the differences = SS = _________
- Population variance estimated from the differences = S2 = ___________
- Variance of the comparison distribution = S2M = _________
- Standard deviation of the comparison distribution = SM = _________
Step 3) Determine the cutoff score on the t distribution (use a 0.05 p value).
- Cut-off = _________
Step 4) Determine your sample’s t score.
- t = ___________
Step 5) Decide whether or not to reject null hypothesis. What do you conclude?
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