Thursday

March 26, 2015

March 26, 2015

Posted by **scott** on Friday, April 25, 2014 at 10:29am.

A. An extremely small p-value indicates that the actual data differs markedly from that expected if the null hypothesis were true.

B. A large p-value indicates that the data is consistent with the alternative hypothesis.

C. The p-value measures the probability of making a Type II error.

D.The larger the p-value, the stronger the evidence against the null hypothesis

E. The p-value measures the probability that the hypothesis is true.

**Answer this Question**

**Related Questions**

Statistics - A statistical test is performed, and its P-value turns out to be ...

Stats - A statistical test is performed, and its P-value turns out to be about 3...

Statistics - Which of these statements is always true for a researcher who is ...

Statistics - are the following statements, Ho:=10 and Ha:equal to or less than, ...

statistics - Perform hypothesis testing on one variable’s data. (Choose either ...

Statistics - PLEASE CHECK AND SEE IF I HAVE THESE ANSWERS CORRECT. T F 1. ...

Statistics - Please Help I'm desperate! Complete the hypothesis test with ...

Statistics - Using the numerical data for your team project, conduct a two ...

statistics - In a chi-squared test of a contingency table, the value of the test...

statistics - Use the given information to find the P-value. Also, use a 0.05 ...