Which of the following statements about P-values is/are FALSE? (more than 1 mightbe false)If the P-value is smaller than the significance level, the result is said to bestatistically significant.If the P-value is larger than the significance level, the null hypothesis is rejected.The P-value is the probability that the alternate hypothesis is false.| The P-value is the probability that the null hypothesis is false.

According to the question second and third option is correct because they ask which is a false…

Answered: Which of the following statements about…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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When one changes the significance level of a hypothesis test from 0.10 to 0.05, which of the following will happen? Check all that apply. A. The chance that the null hypothesis is true changes from 0.10 to 0.05. OB. The test becomes less stringent to reject the null hypothesis (i.e. it becomes easier to reject the null hypothesis). c. It becomes harder to prove that the null hypothesis is true. OD. The chance of committing a Type I error changes from 0.10 to 0.05. ⒸE. The chance of committing a Type II error changes from 0.10 to 0.05. OF. It becomes easier to prove that the null hypothesis is true. ⒸG. The test becomes more stringent to reject the null hypothesis (i.e., it becomes harder to reject the null hypothesis).
a) In a chi-square test, the “expected” counts are the values we expect if there is an association between the variables. True False b) A small chi-square test statistic is consistent with the null hypothesis. True False
A null and alternative hypothesis are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Ho: Ha: p≥ 0.3 р < 0.3 What type of test is being conducted in this problem? A. Right-tailed test B. Left-tailed test C. Two-tailed test
A hypothesis test uses a significance level of 5%. The Power of the Test is 0.90. Which of these statements are True? I. The Probability of incorrectly rejecting the Null is 0.05. II. The probability of incorrectly accepting the Null is 0.10. A. I only. B. II only. C. I. & II. D. None of them. А. А В. В С. С D. D
A student performs a test of Ho: u = 100 versus H,: > 100 and gets a P-value of 0.044. The student says, "There is a 0.044 probability of getting the sample result I did by chance alone." What did the student do wrong in their explanation? The student forgot to include the condition and the direction in their interpretation. The student forgot to state the conditional probability. The student forgot to make a decision about the null hypothesis. The student forgot to include a directional range of values. O The student did nothing wrong. The interpretation is fine.
A hypothesis test result is considered to be statistically significant only when?
In a test of statistical hypotheses, the P-value tells us O the probability of observing a sample mean as we did or something more unusual if the null hypothesis is true. if the null hypothesis is true. if the alternative hypothesis is true. the largest level of significance at which the null hypothesis can be rejected.
If the p-value is very large (say close to 1), then it is likely that we will reject the null hypothesis. True False
What is the correct interpretation of the significance level a in a hypothesis test? The probability that H, is true given that Ho is NOT rejected The probability that Ho is true given that Ho is rejected The probability of NOT rejecting Ho given that H, is true The probability of rejecting Ho given that Ho is true
Is the expected value (mean) of the probability distribution of a random variable always one of the possible values of x from the distribution? ExplainWhy not
A fellow student tells you the P-value is the probability that the null hypothesis is true, so when the P-value is small, you reject the null hypothesis. Explain why the student is not correct. What would you tell the student about the P-value to help them out? What exactly is the relationship between the P-value and the hypotheses?
A statistical test is designed to show that the mean u is different from 100, state the null hypothesis (Ho) and the alternative hypothesis (Ha) to be tested.

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