(a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis?
A. Obtaining data with a small P-value.
B. Obtaining data with a large P-value.
C. Using a small level of line significance.
D. Using a a large level of significance.
(b) The P-value of a test of a null hypothesis is
A. The probability of the null hypothesis is true.
B. The probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed.
C. The probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.
D. The probability of the null hypothesis is false.
(c) In formulating hypotheses for a statistical test of significance, the null hypothesis is often
A. 0.05
B. the probability of observing the data you actually obtained
C. a statement of ''no effect'' or '' no difference''.
D. a statement that the data are 0.
(a) In testing hypotheses, which of the following would be strong evidence against the null hypothesis?
A. Obtaining data with a small P-value.
B. Obtaining data with a large P-value.
C. Using a small level of line significance.
D. Using a a large level of significance.
(b) The P-value of a test of a null hypothesis is
A. The probability of the null hypothesis is true.
B. The probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed.
C. The probability, assuming the null hypothesis is true, that the test statistic will take a value at least as extreme as that actually observed.
D. The probability of the null hypothesis is false.
(c) In formulating hypotheses for a statistical test of significance, the null hypothesis is often
A. 0.05
B. the probability of observing the data you actually obtained
C. a statement of ''no effect'' or '' no difference''.
D. a statement that the data are 0.
