If a researcher calculated a t-statistic to be -2.5 and the tabled t value (for df = 60 and alpha = 0.05) is 2.0, the researcher would:
A) Conclude that a Type II error had been made
B) Accept the null hypothesis
C) Reject the null hypothesis
D) Use a different level of significance
Question 2
If the power for an analysis was 0.50, which of the following would be true?
A) There would be a 50 risk of a Type II error
B) The odds ratio would be equal to 0.50
C) .The 95 CI would have a range of 50 points
D) .There would be a 50 risk of a Type I error