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This question has to do with power. Suppose in a clinical study you have two groups with 10 subjcects in each group. No significance at the .05 level is found but there is a medium effect size, which is judged to be of practical significance. What should I do in the future replication study? It has been mentioned in my textbook that there can be too much power and this is related to the “sledgehammer effect” What does this mean? How does this affect the study?
The response variable is the change in cholesterol level after two months of treatment. An analysis of variance will be used to compare the three treatments. What null hypothesis is tested by this ANOVA F-test?
Utilize this information to construct a probability table, and then calculate each of the given probabilities:P (female and domestic car).
You want to show an increase in buying and selling of single-family homes this year when compared with last year's rate.
On randomly selected day, let X and Y, respectively, be proportions of time that the drive-in and walk-in facilities are in use. Determine the marginal density of X.
A point estimate for the difference between the mean purchases of the users of the two credit cards is:
Determine the probability that the number of people who show up will exceed the capacity of the plane?
Use a 5% significance level (95% confidence level) to test the claim that the different vehicle categories have the same mean MPG.
Be certain to mention the direction of the relationship, the strength of the relationship, and whether our findings are statistically significant
A study of 200 commercial firms revealed the data below. What is the probability that a particular firm will have 1 million or more in income after taxes?
The owner of a restaurant has just changed the delivery process in order to reduce the mean time between the order and completion of delivery from the current 25 minutes.
A big part of regression analysis involves hypothesis testing. For example the t-score for b1 tests a hypothesis...what is the H0 and Ha for this hypothesis?
The result for University X was a mean of 5 hours and an estimated population variance of 2 hours; for University Y; and for University Z. What should you conclude? Use the .05 level. What should you conclude? Use the .05 level.
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