Which one of the following statements is false? A. A P-value is a probability. B. A P-value can never be negative. C. The population proportion is a parameter. D. A P-value cannot be computed unless the significance (or alpha) level is known. E. If the result of a hypothesis test is statistically significant, it may or may not be practically

Which one of the following statements is false? A. A P-value is a probability. B. A P-value can never be negative. C. The population proportion is a parameter. D. A P-value cannot be computed unless the significance (or alpha) level is known. E. If the result of a hypothesis test is statistically significant, it may or may not be practically

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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Which of the following statements is correct? The p-value measures the probability of obtaining a test statistic as great as or greater than the value of the observed test statistic. The p-value measures the probability that the hypothesis is true. The p-value measures the probability of making a Type II error. The larger the p-value, the stronger the evidence against the null hypothesis A large p-value indicates that the data is consistent with the alternative hypothesis.
A. Test the claim that the contents of cans of diet soda have weights with a mean that is less than the mean for the regular soda. What are the null and alternative and hypotheses? B. What is the test statistic? (Round to two decimal places as needed.) C. What is the P-value? (Round to three decimal places as needed.) State the conclusion for the test. A. Reject the null hypothesis. There is sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda.B. Fail to reject the null hypothesis. There is sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda.C. Fail to reject the null hypothesis. There is not sufficient evidence to support the claim that the cans of diet soda have mean weights that are lower than the mean weight for the regular soda.D. Reject the null hypothesis. There is not sufficient evidence to support…
a. what is the null hypothesis and alternative hypothesis b. what is the p-value of this distribution? c. write a sentence starting with, "The p-value is the probability..." stating what the p-value is
Which of the following statements are true?
In each of the situations, answer the following. a. b. State the null and alternative hypothesis in words. State the null and alternative hypothesis in symbols. What is the probability of committing type i error? State the conclusion when Ho is rejected. C. d. e. State the conclusion when Ho is not rejected. 1. A college dean claims that a bachelor's degree could be earned in an average of five years. Test the claim using 95% confidence level. 2. An FDA officer claims that Pharma XYZ's new caplet drug contains less than 300mg of paracetamol. Test the claim using 99% confidence level.
A statement of “no difference” that contradicts the research hypothesis and is always expressed in terms of population parameters is called the a. null hypothesis. b. right-tailed test. c. t statistic. d. specified value
Which of the following is the definition of the p-value? The probability that we would get this sample. The probability that we would see a test statistic this extreme or more, if the null hypothesis were true. O The probability that the alternative hypothesis is true given the sample data. O The probability that the alternative hypothesis is true given the population data.
Which of the following correctly describes the meaning of the p-value? a. The p-value is the probability the alternative hypothesis is true. b. The p-value is the probability the null hypothesis is true. c. The p-value is the probability we would get results like our sample (or something more extreme), given the null hypothesis is true. d. The p-value is the probability the null hypothesis is true, given our sample. e. The p-value is the probability the alternative hypothesis is true, given our sample.
What is stated by the null hypothesis for the chi-square test for independence? a. There is no relationship between the two populations regarding the two variables. b. Both variables have the same frequency distribution. c. The two variables have different frequency distributions. d. There is a relationship between the two populations regarding the two variables.
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).
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