which of following statements about p-value testing is true
a. p-value at lowest level
b. p-value represents sample proporation
c. p-value testing uses predetermined level
d. p-value testing applies only to one-tailed test
The p-value is the smallest level of significance at which the null hypothesis can be rejected
correct answer is option: a: p value at lowest level
which of following statements about p-value testing is true a. p-value at lowest level b. p-value...
QUESTION 7 which of the following statements are true if the value of the test statistic for a two-tailed z test is -1.567 A Pvalue = 4406 ○ B. P-value = 0594 ° C. P-value = .1188 D. .0594 < P-value < .1188
Which of the following statements is not true if a test procedure about the population mean μ is performed when the population is normal with known standard deviation σ? A. The rejection region for level α test is z ≥ zα/2 end if the test is an lower-tailed test. B. The rejection region for level α test is z ≤ zα if the test is an upper-tailed test. C. The rejection region for level α test is z ≥ zα...
Which of the following statement is true about hypothesis testing in regression analysis? A. It is to test a statement about a coefficient of a sample regression B. It is to test a statement about a parameter value for the population C. The value for null hypothesis must be 0 D. none of the above is true
Which of the following statements is true about the P-value? A. It is the probability of committing type I error and it is the smallest significant level at which a null hypothesis would be rejected B. It is the probability of committing type I error and it is the largest significant level at which a null hypothesis would be rejected C. It is the probability of committing type II error and it is the smallest significant level at which a...
Question 21 In testing Ho: p1" p,-0 versus Ha: p1" p. 0, the computed value of the test statistic is z = 2 25 The P value for this two-tailed test is then Not yet answered Points out of 6.00 Flag question Question 22 Not yet answered Points out of 4.00 The two-sample t test is applicable in situations in which population distributions are both normal when population variances have unknown values, and at least one of the two sample...
1. In hypothesis testing, which of the following statements is/are true? The test statistic can be smaller than 1.0. II. The p-value can never be larger than 1.0. II. The “p" in p-value stands for “practical.” O I, II and III are all true O ll only O I only Ill only O I and II are both true
A P-value of 0.12 is calculated on a hypothesis test with a significance level set at 0.01. Which of the following is the correct conclusion for the test? a. Claim the null hypothesis is true b. Fail to reject the null hypothesis c. Reject the null hypothesis d. Claim the alternative hypothesis is true Which of the following are not requirements for using the t-distribution for a hypothesis test concerning μ? (More than one answer may be correct.) a. Sample...
p-value Approach: The p-value is the smallest significance level at which the null hypothesis is rejected. While using the normal distribution, suppose, z = Zobserved is the test statistic value for testing the hypothesis about a population mean. This test statistic value is usually negative for a left-tailed test and is usually positive for a right-tailed test. The p-value is obtained with the help of the Standard Normal Distribution Table (Table IV). 1. For a left-tailed test, p-value = P(z<...
Which of the following statements is false about the test data approach when testing a computerized accounting system? a. Controls may only be tested for one moment in time. b. An advantage of this method is that it directly tests controls. c. Several transactions of each type must be tested. d. Only those controls deemed important to the auditor need to be tested.
6. Which of the following statements about hypothesis testing are true? • A type I error occurs if H, is rejected when it is true. • A type II error occurs if He is rejected when it is true. • The power of a test is the probability of failing to reject H, when it is false.