Alpha (a) is the probability that the test statistic would assume a value at or more...
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Alpha (a) is the probability that the test statistic would assume a
value at or more...
P-value is the probability, computed assuming H0 is true, that the test statistic would take a...
P-value is the probability, computed assuming H0 is true, that the test statistic would take a value as extreme or more extreme than that actually observed. Given the sample at hand, it is the smallest level of significance at which H0 would be rejected. It depends on the sample (hypotheses as well) and is hence also a test statistic. Generate 50 samples of size n=10 from a normal distribution with mean μ=1 and variance σ2=4. For each sample, use the...
Question 10 of 10 > You use software to carry out a test of significance. The...
Question 10 of 10 > You use software to carry out a test of significance. The program tells you that P-value is P = 0.011. You conclude that probability, computed assuming that He is true, of the test statistic taking a value as extreme as or more extreme than that actually observed is 0.011. true, of the test statistic taking a value as extreme as or less extreme than that actually observed is 0.011. false, of the test statistic taking...
QUESTION 21 A p value is the probability of obtaining the value of the test statistic...
QUESTION 21 A p value is the probability of obtaining the value of the test statistic or more extreme, if the null hypothesis is true. a. True b. False QUESTION 18 Type I error occurs when a. you reject a false null hypothesis b. you reject a true null hypothesis c. you fail to reject a false null hypothesis d. you fail to reject a true null hypothesis QUESTION 19 Type II error occurs when a. you reject a false...
QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that...
QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that is more extreme than the test statistic, True False
The p-value is the probability of getting a test statistic at least as extreme as the...
The p-value is the probability of getting a test statistic at least as extreme as the one representing the sample data, assuming that The companying data a s level anty the nutrypothesis the magnitude of 50 earthquakes measured on the Richter scale Test them that the population of earth tomative hypothesis, and conclusion for the lost. Assume this is a ple random sample as a mean mantude greater than 100 U 005 on ce
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
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...
QUESTION 12 The p-value is the same as the Z statistic measures the number of standard deviations from the mean is...
QUESTION 12 The p-value is the same as the Z statistic measures the number of standard deviations from the mean is a distance is a probability QUESTION 13 For a two tail test, the p-value is the probability of obtaining a value for the test statistic more extreme than that provided by the sample less extreme than that provided by the sample more extreme than that provided by the population less extreme than that provided by the population Which of...
Question 7 (1 point) Which of these is NOT what the P-value is? The probability of...
Question 7 (1 point) Which of these is NOT what the P-value is? The probability of getting the sample results you did or something even more extreme if H-null is actually true. The probability of getting a type I error. The area in the tail(s) beyond the test statistic, Question 8 (1 point) What is the significance level of a hypothesis test? How important and useful the test is 1-alpha (the complement of alpha) The probability of rejecting the null...
Hi, I'm considering the following question: "Let's say we just calculated the t-test statistic for the...
Hi, I'm considering the following question: "Let's say we just calculated the t-test statistic for the following hypotheses: H0: mu <= 34, Ha: mu > 34. The sample size was 25, and the test statistic turned out to be -2.84. What would be the correct conclusion? A- Do not reject the H0 - the p-value is smaller than alpha B- Reject the H0 - the test statistic is more extreme than the critical value C- Reject the H0 - the...
Question 10 of 10 > You use software to carry out a test of significance. The program tells you that P-value is P = 0.011. You conclude that probability, computed assuming that He is true, of the test statistic taking a value as extreme as or more extreme than that actually observed is 0.011. true, of the test statistic taking a value as extreme as or less extreme than that actually observed is 0.011. false, of the test statistic taking...
QUESTION 6 Problem 2) True/False (1) The p-value in the hypothesis testing is the probability that is more extreme than the test statistic, True False
The p-value is the probability of getting a test statistic at least as extreme as the one representing the sample data, assuming that The companying data a s level anty the nutrypothesis the magnitude of 50 earthquakes measured on the Richter scale Test them that the population of earth tomative hypothesis, and conclusion for the lost. Assume this is a ple random sample as a mean mantude greater than 100 U 005 on ce
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 12 The p-value is the same as the Z statistic measures the number of standard deviations from the mean is a distance is a probability QUESTION 13 For a two tail test, the p-value is the probability of obtaining a value for the test statistic more extreme than that provided by the sample less extreme than that provided by the sample more extreme than that provided by the population less extreme than that provided by the population Which of...
Question 7 (1 point) Which of these is NOT what the P-value is? The probability of getting the sample results you did or something even more extreme if H-null is actually true. The probability of getting a type I error. The area in the tail(s) beyond the test statistic, Question 8 (1 point) What is the significance level of a hypothesis test? How important and useful the test is 1-alpha (the complement of alpha) The probability of rejecting the null...
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