Q. The p-value represents the probability: 1. that we observe data as extreme as the one...
Q. The p-value represents the probability:
1. that we observe data as extreme as the one we saw if the null hypothesis is true.
2. that we observe data as extreme as the one we saw if the alternative hypothesis is true.
3. that we observe data as extreme as the one we saw if the alternative hypothesis is false.
4. that the null hypothesis is true given that we observed data as extreme as the one we saw.
5. that the alternative hypothesis is false given that we observed data as extreme as the one we saw.
Homework Answers
p - Value represents the probability that we observe data as extreme as the one we saw if the null hypothesis is true.
Option 1 is correct.
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Q. The p-value represents the probability:
1. that we observe data as extreme as the one...
Question 37 5 points Save Answer as extreme assuming the hypothesis Given sample data, the P-value...
Question 37 5 points Save Answer as extreme assuming the hypothesis Given sample data, the P-value is the probability of observing a sample is true. at least; null equally; alternative equally; alternative equally; null 00
Select the correct definition of the p-value of a test from the answer choices below: The...
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...
Which of the following is true of the p-value? Select one: a. It is the probability...
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.
a p-value represents: a) none of the given answers are true b) the probability given the...
a p-value represents: a) none of the given answers are true b) the probability given the null hypothesis is true, that the results could have been obtained barring the involvement of chance c) the probability, given the null hypothesis is true, that the results could have been obtained purely on the basis of chance alone d) the probability, given the alternative hypothesis is true, the results could have been obtained purely on the basis of chance alone e) the probability,...
Question 6 1pts Which of the following is TRUE about the p-value? It indicates the likelihood...
Question 6 1pts Which of the following is TRUE about the p-value? It indicates the likelihood of obtaining data at least as extreme as the observed data if the null hypothesis were false It indicates the likelihood of obtaining data at least as extreme as the observed data if the null hypothesis were true Alarge p-value indicates that the null hypothesis is false A large p-value indicates that the null hypothesis is true
α is the probability of a Type I error, which occurs when we accept the alternative...
α is the probability of a Type I error, which occurs when we accept the alternative H1 when the null hypothesis Ho is true. True False A Type II error occurs when when a false null hypothesis is rejected. True False If a null hypothesis is rejected at the 5% significance level but not at the 1% significance level, then the p-value of the test is less than 1%. True False The power of a test is the probability of...
A research article gives a p-value of.001 in the analysis section. Which definition of a p-value...
A research article gives a p-value of.001 in the analysis section. Which definition of a p-value is the most accurate? The probability that the observed outcome will occur again. O The probability of observing an outcome as extreme or more extreme tharn the one observed if the null hypothesis is true. OThe value that an observed outcome must reach in order to be considered significant under the null hypothesis. The probability that the null hypothesis is true.
I. IF we do not reject the null hypothesis when the alternative hnthsinthen we have made...
I. IF we do not reject the null hypothesis when the alternative hnthsinthen we have made Type B error (b) Correct decision (e) Type I error (a) Type I1 error Use for Problems 2 and 3. The data below shows the top 10 teams' winning percentages (z) and powe ratings (u) for the 2013-2014 NCAA basketball season, according to vww.teasrankings.com bo 100.47 b 20.43 08330.694 2. Interpret the estimated slope of the line. (a) For a 1-game decrease in power...
For each problem, select the correct response. (a) What is the P-value of a test of...
For each problem, select the correct response. (a) What is the P-value of a test of the null hypothesis? A. The probability the null hypothesis is false B. The probability, assuming the null hypothesis is false, that the test statistic will take a value at least as extreme as that actually observed C. The probability the null hypothesis is true D. The probability, assuming the null hypothesis is true, that the test statistic will take a value at least as...
When you conduct a significance test, what does the probability value tell you, exactly? the probability...
When you conduct a significance test, what does the probability value tell you, exactly? the probability of replication the probability of observing a trend this extreme or more, assuming the null hypothesis is true the probability that the alternative hypothesis is true the probability that the null hypothesis is true the probability that the null hypothesis is false the probability that the alternative hypothesis is false
Question 37 5 points Save Answer as extreme assuming the hypothesis Given sample data, the P-value is the probability of observing a sample is true. at least; null equally; alternative equally; alternative equally; null 00
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...
Question 6 1pts Which of the following is TRUE about the p-value? It indicates the likelihood of obtaining data at least as extreme as the observed data if the null hypothesis were false It indicates the likelihood of obtaining data at least as extreme as the observed data if the null hypothesis were true Alarge p-value indicates that the null hypothesis is false A large p-value indicates that the null hypothesis is true
A research article gives a p-value of.001 in the analysis section. Which definition of a p-value is the most accurate? The probability that the observed outcome will occur again. O The probability of observing an outcome as extreme or more extreme tharn the one observed if the null hypothesis is true. OThe value that an observed outcome must reach in order to be considered significant under the null hypothesis. The probability that the null hypothesis is true.
I. IF we do not reject the null hypothesis when the alternative hnthsinthen we have made Type B error (b) Correct decision (e) Type I error (a) Type I1 error Use for Problems 2 and 3. The data below shows the top 10 teams' winning percentages (z) and powe ratings (u) for the 2013-2014 NCAA basketball season, according to vww.teasrankings.com bo 100.47 b 20.43 08330.694 2. Interpret the estimated slope of the line. (a) For a 1-game decrease in power...
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