California State University, Fullerton
MATH 338
1. (1pt) Which one is true about a p-value? Select one.
A) The p-value is the probability that the null hypothesis is true.
B) The p-value is the probability that the alternative hypothesis is true.
C) The p-value tells us the strength of the evidence against the null hypothesis.
D) The larger the p-value, the stronger the e
...[Show More]
1. (1pt) Which one is true about a p-value? Select one.
A) The p-value is the probability that the null hypothesis is true.
B) The p-value is the probability that the alternative hypothesis is true.
C) The p-value tells us the strength of the evidence against the null hypothesis.
D) The larger the p-value, the stronger the evidence is in favor of the alternative hypothesis.
E) The p-value is the probability that the null hypothesis is rejected even if the null hypothesis is
actually true.
2. (1pt) What’s the meaning of using a 5% significance level for a hypothesis test? Select one.
A) When the null hypothesis is true, we don't reject the null hypothesis 5% of the time
B) When the null hypothesis is true, we reject the null hypothesis 5% of the time.
C) When the null hypothesis is false, we don't reject the null hypothesis 5% of the time.
D) When the null hypothesis is false, we reject the null hypothesis 5% of the time.
3. (1pt) In a test of hypothesis, what does a test statistic represent? Select one.
A) It is the value of the unknown parameter under the null hypothesis.
B) It is the value of the unknown parameter under the alternative hypothesis.
C) It is a measure of consistency between the null hypothesis and the alternative hypothesis.
D) It is a measure of consistency between the null hypothesis and the data.
E) It is a measure of consistency between the alternative hypothesis and the data.
4. (1pt) The p-value for a lower-tailed test for
[Show Less]