Deck 25: Reports of the Results of T-Tests
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Deck 25: Reports of the Results of T-Tests
1
The term "statistically significant" is synonymous with which of the following phrases
A) Accepting the null hypothesis
B) Accepting the alternative hypothesis
C) Rejecting the null hypothesis
D) Rejecting the alternative hypothesis
A) Accepting the null hypothesis
B) Accepting the alternative hypothesis
C) Rejecting the null hypothesis
D) Rejecting the alternative hypothesis
C
2
The phrase significant at the .01 level indicates which of the following?
A) That the alternative hypothesis should be rejected
B) That the probability that the null hypothesis is correct is .05
C) The null hypothesis should be accepted
D) That that p was equal to or less than .01
A) That the alternative hypothesis should be rejected
B) That the probability that the null hypothesis is correct is .05
C) The null hypothesis should be accepted
D) That that p was equal to or less than .01
D
3
If the result is statistically significant, it also has practical significance
False
4
Which of the following statements is NOT true about the following results?
(t = 1.80, df = 12, p > .05)
A) The result indicates a significant t test
B) The difference between means is not significant
C) The t test was not significant at the .05 level
D) The probability that the null hypothesis is true is more than 5%
(t = 1.80, df = 12, p > .05)
A) The result indicates a significant t test
B) The difference between means is not significant
C) The t test was not significant at the .05 level
D) The probability that the null hypothesis is true is more than 5%
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5
If the results indicate that the difference between the means is statistically significant at the .05 level (t = 2.03, df = 19), what should you conclude?
A) Accept the null hypothesis
B) There is not a significant difference between the means
C) Reject the null hypothesis
D) Reject the alternative hypothesis
A) Accept the null hypothesis
B) There is not a significant difference between the means
C) Reject the null hypothesis
D) Reject the alternative hypothesis
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