When the results of a hypothesis test are determined to be statistically significant, then we null hypothesis. the | compartmentalize | reject | fail to reject polarize Which of the following facts about the p-value of a test is/are correct? | The p-value is calculated under the assumption that the null hypothesis is true. | The smaller the p-value, the more evidence the data provide against Ho. Both of the above are correct None of the above are correct.

When the results of a hypothesis test are determined to be statistically significant, then we null hypothesis. the | compartmentalize | reject | fail to reject polarize Which of the following facts about the p-value of a test is/are correct? | The p-value is calculated under the assumption that the null hypothesis is true. | The smaller the p-value, the more evidence the data provide against Ho. Both of the above are correct None of the above are correct.

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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Similar questions

If a null hypothesis is not rejected at the 0.10 level of significance, it 1 must be rejected at the 0.05 level of significance. 2 might be rejected at the 0.05 level of significance. 3 will not be rejected at the 0.05 level of significance. 4 must be rejected at the 0.01 level of significance.
When a result is not extreme enough to reject the null hypothesis, explain why it is wrong to conclude that your result supports the null hypothesis.
When is a researcher at risk of making a type 2 error? whenever H0 is rejected whenever H1 is rejected whenever H0 fails to reject the risk of a type 2 is independent of the decision from a hypothesis test
The manager of a fleet of automobiles is testing two different brands of radial tires and assigns one tire of each brand at random to the two rear wheels of eight cars and runs the cars until the tires wear out. The data, in kilometers, follow. Perform a hypothesis test at 0.05 level of significance. What is the Null and Alternative Hypthesis? Define the problem. Brand 1: 36,925 45,300 36,240 32,100 37,210 48,360 38,200 33,500Brand 2: 34,318 42,280 35,500 31,950 38,015 47,800 37,810 33,215
We want to conduct a claim: µ < 23The p-value for a hypothesis test turns out to be 0.07401. Significant level α = 0.06.a) At significant level α = 0.06, we reject or don’t reject the null hypothesis H0. Explain the reason youchoose reject or don’t reject H0.b) At significant level α = 0.06, is there enough evidence to support the claim?
What is meant when we say that a hypothesis test is a. exact?b. approximately correct?
Which of these is true regarding hypothesis tests? If the P-value is less than the specified alpha level, the null is accepted If the P-value is less than the specified alpha level, the null is rejected in favor of the alternative If the P-value is greater than the specified alpha level, the alternative is accepted none of these statements is true If the P-value is greater than the specified alpha level, the null is rejected in favor of the alternative
An online retailer claims the proportion of on-time deliveries is 85%. To test this claim, a random sample of deliveries are monitored and checked for on-time delivery status. Assume that the test statistic for this hypothesis test is 1.99. Since this is a two tailed hypothesis test, assume that the critical values for this hypothesis test are −1.96 and 1.96. Come to a decision for the hypothesis test and interpret your results with respect to the original claim. Select the correct answer below: Reject the null hypothesis. There is enough evidence to reject the claim that the proportion of on-time deliveries is 85%. Fail to reject the null hypothesis. There is not enough evidence to reject the claim that the proportion of on-time deliveries is 85%.
Based on this p value can we reject the null hypothesis??
A software company advertises that its software can improve students' grades by at least 15%. One student conducts a hypothesis test to see if the percentage increase is less than 15%. The conclusion of the hypothesis test is to reject the null hypothesis. If the true percentage increase in grades for all students using the software is 13%, was an error committed? If so, what type? A: Yes; Type one error B: Yes ; Type two error C: No ; Correct decision
Data taken from a random sample of 60 students chosen from the student population of a large urban high school indicated that 36 of them planned to pursue post-secondary education. An independent random sample of 50 students taken at a neighboring large suburban high school resulted in data that indicated that 31 of those students planned to pursue post-secondary education. Do these data provide sufficient evidence at the 5% level to reject the hypothesis that these population proportions are equal? (Null and Alternate Hypothesis and Rejection Region) [Group 1: Urban; Group 2: Suburban] A. Ho: p1 = p 2; Ha: p 1 < p 2; Rejection Region: z < -1.96 B. Ho: p 1 = p 2; Ha: p 1 < p 2; Rejection Region: z < -1.64 C. Ho: p 1 = p 2; Ha: p 1 > p 2; Rejection Region: z > 1.64 D. Ho: p 1 = p 2; Ha: p 1 ≠ p 2; Rejection Region: z < -1.96 or z > 1.96 E. Ho: p 1 = p 2; Ha: p 1 ≠ p 2; Rejection Region: t z -1.64 or z > 1.64 (Test Statistic) A. z = -0.214 B. z = -2.296 C.…
would you reject or fail to reject the null hypothesis at the 5% level of significance ? Justify your answer briefly. State yourconclusion that relates to the variables tested