In hypothesis testing, the p-value is the probability of obtaining a test statistics when
The p-value is the likelihood of the observed data, given that the null hypothesis is true. So from above statement
In hypothesis testing, the p-value is the probability of obtaining a test statistics when NULL HYPOTHESIS IS TRUE.
In hypothesis testing, the p-value is the probability of obtaining a test statistics when
A p-value is the A.) probability, when the null hypothesis is true, of obtaining a sample result that is at least as unlikely as what is observed B.) probability of a Type II error C.) value of the test statistic D.) probability corresponding to the critical value(s) in a hypothesis test
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...
The test statistics of z= 2.21 is obtained when testing the claim that p>0.3 a. Identify the hypothesis test as being two tailed, left tailed, or right tailed b. Find p value c.using a significant level of = 0.05, should we reject H0 or should we fail To reject H0?
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
Hypothesis Testing, P-values: For the given alternate hypothesis (H1) and test statistic (z), determine the P-value of the test statistic. Use the answer found in the z-table or round to 4 decimal places. (a) H1: p < 0.75 The test statistic is z = −2.83. P-value = (b) H1: p > 0.85 The test statistic is z = 1.84. P-value = (c) H1: p ≠ 0.15 The test statistic is z = 1.85. P-value =
Question 12 (3 points) When the p-value is used for hypothesis testing, the null hypothesis is not rejected if the p value < 0 p value 1 p value s o p value > o
Which statement best describes the significance level of a hypothesis test? The probability of obtaining a sample under the assumption that the null hypothesis is true that is more unusual than the observed sample b. The probability of making a Type 1 error The probability of making a Type Il error. d. The probability of correctly rejecting the null hypothesis.
In hypothesis testing, the level of significance (a) is also known as the size of the rejection region or size of the critical region. True False In a hypothesis test, the probability of obtaining a value of the test statistic equal to or even more extreme than the value observed, given that the null hypothesis is true, is referred to as what? The p-value The level of significance The statistical power What is the requirement for a large sample to...
Use the given claim to identify the Null Hypothesis, the Alternative Hypothesis, test statistics, P-value or Critical Values, then state the conclusion about the null hypothesis as well as the final conclusion that addresses the original claim The Brazil vending machine dispenses coffee, and a sample random sample of 27 filled cups have contents with a mean of 7.14 oz. and a standard deviation of 0.17 oz. Use a 0.05 significance level to test the claim that the machine dispenses...
If the p-value for a hypothesis test is 0.07 and the allowed probability of making a Type I error is 0.05, then the correct decision is to O reject the null hypothesis only if it is a one-tailed test. O not reject the null hypothesis. O reject the null hypothesis. O not reject the null hypothesis only if it a two-tailed test.