Consider the following hypothesis test.Ho: H1 - H2 s0H,i H1 - "2 > 0he following results are for two Independent samples taken from the two populations.Sample 1 Sample 2n = 40n2 = 50%3!= 25.1 x, = 22.8%3Do1 = 5.402 = 6(a) What is the value of the test statistic? (Round your answer to two decimal places.)(b) What is the p-value? (Round your answer to four decimal places.)(c) With a 0.05, what is your hypothesis testing conclusion?O Do not Reject Ho. There is sufficient evidence to conclude that u, - H2 > 0.O Reject H,. There is sufficient evidence to conclude that u, - #2 > 0.O Reject Ho. There is insufficient evidence to conclude that , - 42 > 0.O Do not reject Ho. There is insufficient evidence to conclude that , - H2 > 0.

The mean significance difference between the two samples are calculated using z test or t test.…

Answered: Consider the following hypothesis test.…

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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A physician wants to test two blood glucose meters to see if there is any differences in measurements. To do this, he measures the glucose in blood samples taken from several randomly selected patients with both meters. Identify the null and alternative hypotheses for a hypothesis test, where each difference is calculated by subtracting the measurement on the second meter from the measurement on the first meter. A. H0:μd=0 Ha:μd>0 B. H0:μd=0 Ha:μd≠0 C. H0:μd=0 Ha:μd<0 D. H0:μd≠0 Ha:μd=0
You complete a hypothesis test using alpha = .05 and based on the evidence from the sample, your decision is to fail to reject the null hypothesis. If the treatment actually does have an effect, which of the following is true?
Test the null hypothesis H0 : β1 = β2 against the alternative H1 : β1 < β2 at 1% significance level.
When is a researcher at risk of making a Type II error? a. whenever H0 is rejected b. whenever H1 is rejected c. whenever H0 fails to be rejected d. The risk of a Type II error is independent of the decision from a hypothesis test.
The U.S. Department of Transportation, National Highway Traffic Safety Administration, reported that 77% of all fatally injured automobile drivers were intoxicated. A random sample of 50 records of automobile driver fatalities in a certain county showed that 33 involved an intoxicated driver. Do these data indicate that the population proportion of driver fatalities related to alcohol is less than 77% in Kit Carson County? Use ? = 0.10. State the null hypothesis H0 and the alternate hypothesis H. np? nq? What is the value of the sample test statistic? (Round your answer to two decimal places.) Find the P-value of the test statistic. (Round your answer to four decimal places.) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level ?? Interpret your conclusion in the context of the application.
Given that the P-value for the hypothesis test is 0.000 when rounded to three decimal places, what do you conclude? What do the results indicate about the rule that women and children should be the first to be saved?
When is a researcher at risk of making a Type II error? a. whenever H1 is rejected b. whenever H0 fails to be rejected c. whenever H0 is rejected d. The risk of a Type II error is independent of the decision from a hypothesis test.
Consider the following hypothesis test. H0: μ1 − μ2 = 0 Ha: μ1 − μ2 ≠ 0 The following results are for two independent samples taken from the two populations. Sample 1 Sample 2 n1 = 70 n2 = 80 x1 = 106 x2 = 108 σ1 = 8.4 σ2 = 7.6 (a) What is the p-value? (Round your answer to four decimal places. show work not done on calculator) (b) With α = 0.01, using the p-value approach, what is your hypothesis testing conclusion? Why? Explain
Find the P-value for a left-tailed hypothesis test with a test statistic of z=−1.42. Decide whether to reject H0 if the level of significance is α=0.10.
Question 16 The p-value for a hypothesis test turns out to be 0.08969. At a 9% level of significance, what is the proper decision? Reject H0H0 Fail to reject H0
In doing a hypothesis test of the population proportion at α=0.02 level of significance, we got the p-value to be 0.006. What would our conclusion to the test be? Why? A. Do NOT Reject H0 since the p-value > α B. Reject H1 since the p-value < α C. Reject H0 since the p-value < α D. Do NOT Reject H0 since the p-value < α
Dreamfilms Studios boasts that its summer features are so good that at least half of all tickets sold one summer are for its films. A competing studio claims that less than half of all tickets sold are for Dreamfilms' movies. After the hypothesis test is completed, the conclusion is to fail to reject the null hypothesis. If the true percentage of tickets sold for Dreamfilms Studios' movies that summer was only 48%, was an error committed? If so, what type?

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