1. Choose the answer that is closest to the definition of a significance level
a) If the p-value is less than the significance level, the null is rejected.
b) It is the probability of rejecting the null given that the null is true.
c) It is a number that tells us how statistically important the results are.
d) It is a number that tells us how practically important the results are.
e) It is a number that tells us how statistically and practically important the results are.
1. Choose the answer that is closest to the definition of a significance level a) If...
Choose the correct definition of significance level from the
list below.
A significance level is
Option 1 and 5 are WRONG
Choose the correct definition of significance level from the list below A significance level is the probability of failing to reject the null hypothesis when the alternative hypothesis is true. the minimum acceptable chance of making a type I error. O the probability that an event occurred as a result of a causative factor rather than by chance. the...
The P-value for a hypothesis test is 0.079. For each of the following significance levels, decide whether the null hypothesis should be rejected. a. alphaequals0.05 b. alphaequals0.10 a. Determine whether the null hypothesis should be rejected for alphaequals0.05. A. Reject the null hypothesis because the P-value is equal to or less than the significance level. B. Do not reject the null hypothesis because the P-value is equal to or less than the significance level. C. Reject the null hypothesis because...
Select the correct definition of the p-value of a test from the answer choices below: The probability that the null hypothesis is true The probability that, assuming the null hypothesis is true, we obtained a test statistic as or more extreme than what we calculated The probability that, assuming the alternative hypothesis is true, we obtained a test statistic as or more extreme than what we calculated The probability that the alternative hypothesis is false, given that the null hypothesis...
Please answer all
Question 33 1 pts If the significance level for a hypothesis test is 0.01 and the p-value for the test ends up being 0.0034, after forming the appropriate conclusion based on the p-value, which possible error could have be committed, type I or type II. Since we did not reject the null, we might have committed a type one error. O Since we did not reject the null, we might have committed a type two error. Since...
Question 21 (4 points) For a hypothesis test about a population proportion or mean, if the level of significance is less than the p- value, the null hypothesis is rejected. (Ch10) True False Question 22 (4 points) Everything else being constant, increasing the sample size decreases the probability of committing a Type II error. (Ch10) True False The power of a statistical test is the probability of not rejecting the null hypothesis when it is true. (Ch10) True False Question...
Which of the following is true of the p-value? Select one: a. It is the probability of rejecting the null hypothesis when the alternative hypothesis is true. b. It is the extreme value of the test statistic obtained when the alternative hypothesis is true. c. It is the smallest significance level at which a null hypothesis can be rejected. d. It is the probability of rejecting the null hypothesis when the null hypothesis is true.
assume a significance level of a=0.01 and use the given information to complete parts (a) and (b) below. original claim: the mean pulse rate (in beats per minute) of a certain group of adult males is 72 bpm. the hypothesis test results in a P-value of 0.0692. a.State a conclusion about the null hypothesis. (Reject H0 or fail to reject H0.) choose the correct answer below. A. Reject H0 because the P-value is less than or equal to a B.Reject...
Benfords Law claims that numbers chosen from very large data files tend to have "1" as the first nonzero digit disproportionately often. In fact, research has shown that if you randomly draw a number from a very large data file, the probability of getting a number with "1" as the leading digit is about 0.301. Suppose you are an auditor for a very large corporation. The revenue report involves millions of numbers in a large computer file. Let us say...
If a null hypothesis is rejected at the 0.10 significance level but not at the 0.05 significance level, then the p-value of the test is between 0.05 and 0.10. True or false?
Which of the following describe alpha? (choose one or more) The level of significance The probability of the test statistic occurring if the null is true The probability that we will reject the null hypothesis A value we need to know in order to determine the critical value