76. Assuming the null hypothesis is true in each case, if the results of 1300 studies are analyzed, each using the .05 significance level, on average __________ will be significant. (To fill in the blank, give a number between 0 and 1300).

(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.

Given the following hypothesis: A random sample of six resulted in the following values: 118, 105, 112, 119, 105, and 111. Assume a normal population. Using the .05 significance level, can we conclude the mean is different from 100? a. State the decision rule. b. Compute the value of the test statistic. c. What is your decision regarding the null hypothesis? d.Estimate the p-value