Which of these statements are True and which are False? a. If the P-value is sma
ID: 3383975 • Letter: W
Question
Which of these statements are True and which are False?
a. If the P-value is small, then the null hypothesis does not provide a plausible explanation of the data.
b. If the P-value is small, then the sample statistic is a poor estimate of the population parameter.
c. A P-value of 0.999 says that the null hypothesis is a reasonable explanation of the data.
d. When the P-value is 0.5, there is a 50-50 chance that the alternative hypothesis is true.
e. A test statistic is used to measure the difference between the data and what is expected under the null hypothesis.
Explanation / Answer
a) If the P-value is small, then the null hypothesis does not provide a plausible explanation of the data.
-- True
b) If the P-value is small, then the sample statistic is a poor estimate of the population parameter.
-- True
c) A P-value of 0.999 says that the null hypothesis is a reasonable explanation of the data.
--True
d) When the P-value is 0.5, there is a 50-50 chance that the alternative hypothesis is true
-- False
When p value >alpha we accept null hypothesis. Need not be 0.5
e. A test statistic is used to measure the difference between the data and what is expected under the null hypothesis.
-- True
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