1.0 Which of the following is not correct? Select one: a. The probability of a T
ID: 3127515 • Letter: 1
Question
1.0 Which of the following is not correct?
Select one:
a. The probability of a Type I error is controlled by the selection of the alpha level.
b. The probability of a Type II error is controlled by the sample size.
c. The power of a test depends upon the sample size and the distance between the null and alternate hypothesis.
d. The p-value measures the probability that the null hypothesis is true.
e. The rejection region is controlled by the alpha level and the alternate hypothesis.
2.0 Which of the following statements is correct?
Select one:
a. An extremely small p-value indicates that the actual data differs markedly from that expected if the null hypothesis were true.
b. The p-value measures the probability that the hypothesis is true.
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. A large p-value indicates that the data is consistent with the alternative hypothesis.
Consider the following table in reference to the testing of a null hypothesis:
Which of the following is incorrect?
Select one:
a. Entries (1) and (4) are correct decisions.
b. The P(making entry (2)) is controlled by the sample size for a given alpha level.
c. A Type I error occurs if entry (3) occurs
d. Power refers to P(entry (4))
e. A Type II error occurs when entry (1) is made.
4.
Which of the following is not correct?
Select one:
a. The probability of a Type I error is controlled by the selection of the alpha level.
b. The probability of a Type II error is controlled by the sample size.
c. The power of a test depends upon the sample size and the distance between the null and alternate hypothesis.
d. The p-value measures the probability that the null hypothesis is true.
e. The rejection region is controlled by the alpha level and the alternate hypothesis.
5.0
Which of the following statements is correct?
Select one:
a. An extremely small p-value indicates that the actual data differs markedly from that expected if the null hypothesis were true.
b. The p-value measures the probability that the hypothesis is true.
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. A large p-value indicates that the data is consistent with the alternative hypothesis.
H0 True Ha True Fail to reject H0 (1) (2) Reject H0 (3) (4)Explanation / Answer
1.
OPTION D: d. The p-value measures the probability that the null hypothesis is true. [ANSWER]
The null hypothesis is only either true or false. We do not assign probabilities to it.
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2.
OPTION A: a. An extremely small p-value indicates that the actual data differs markedly from that expected if the null hypothesis were true.
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3.
OPTION E: e. A Type II error occurs when entry (1) is made. [ANSWER]
This is not an error.
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4.
OPTION D: d. The p-value measures the probability that the null hypothesis is true. [ANSWER]
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5.
OPTION A: a. An extremely small p-value indicates that the actual data differs markedly from that expected if the null hypothesis were true.
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