Fill in the blank: We have evidence against H0 whenever P-value is _________.
A. |
B. |
What value might a skeptical doctor select for α if she wants really strong evidence against the null hypothesis, H0: St. John’s Wort is not an effective alternative to Prozac?
A. |
B. |
If the consequences of rejecting a correct H0 are very serious, which value should you select for α?
A. |
B. |
What are the consequences of “not adding chlorine” when you should?
A. |
B. |
If you would rather have a greater risk of skin irritation and a lower risk of disease, what value should you select for α?
A. |
B. |
If P-value = 0.049 and α = 0.05, should you reject H0?
A. |
B. |
True or false: P-value for a two-sided test is twice the P-value for a one-sided test.
A. |
B. |
Observed effect equals . What happens to P-value as the value for gets farther and farther from ?
A. |
B. |
When should we check for practical significance?
A. |
B. |
C. |
D. |
With P-value = 0.0004 and α = 0.05, are these results statistically significant?
A. |
B. |
Is statistical significance the same as practical significance?
A. |
B. |
Is a one point difference (out of eighty points) between the two means big enough to justify investing time and money to improve the average test score of rural students?
A. |
B. |
If a one point difference is not big enough to justify investing time and money to improve the average score of rural students, are these results practically significant?
A. |
B. |
How do you check for statistical significance?
A. |
B. |
True or false: “multiple analyses” is performing more than one test on one set of data.
A. |
B. |
What are the consequences of multiple analyses?
A. |
B. |
C. |
What problem could occur when a sample size is very large?
A. |
B. |