The scenario and data for this problem relates to the next three questions. Examine the following hypothesis test with n = 9, s = 10, and x bar = 29. %3D %3D Ho: u 2 31 HẠ: H< 31 a = 0.025 State the decision rule for this problem. Select the correct choice below and fill in any answer boxes in your choice. O Reject the null hypothesis if the calculated value of the test statistic is less than the critical value of -2.306 or greater than the critical value of 2.306. Otherwise, do not reject. Reject the null hypothesis if the calculated value of the test statistic is less than the critical value of -2.306. Otherwise, do not reject. O Reject the null hypothesis if the calculated value of the test statistic is greater than the critical value of 2.306. Otherwise, do not reject.

The scenario and data for this problem relates to the next three questions. Examine the following hypothesis test with n = 9, s = 10, and x bar = 29. %3D %3D Ho: u 2 31 HẠ: H< 31 a = 0.025 State the decision rule for this problem. Select the correct choice below and fill in any answer boxes in your choice. O Reject the null hypothesis if the calculated value of the test statistic is less than the critical value of -2.306 or greater than the critical value of 2.306. Otherwise, do not reject. Reject the null hypothesis if the calculated value of the test statistic is less than the critical value of -2.306. Otherwise, do not reject. O Reject the null hypothesis if the calculated value of the test statistic is greater than the critical value of 2.306. Otherwise, do not reject.

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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Concept explainers

Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.

Question

Null hypothesis

The scenario and data for this relates to the previous two questions.
Examine the following hypothesis test with n = 9, s = 10, and x bar= 29.
Ho: H > 31
HA: μ< 31
a = 0.025
State the conclusion. Choose the correct answer below.
Reject the null hypothesis. There is not sufficient evidence that the mean is less than 31.
Fail to reject the null hypothesis. There is sufficient evidence that the mean is less than 31.
O Reject the null hypothesis. There is sufficient evidence that the mean is less than 31.
O Fail to reject the null hypothesis. There is not sufficient evidence that the mean is less than 31.

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Correlations Time to Engine Miles per Displacement Accelerate Vehicle from 0 to 60 (cu. inches) Horsepower Weight (Ibs.) mph (sec) -.789 Gallon Miles per Gallon Pearson Correlatio -.771** -.807* .434** Sig. (2-tailed) .000 .000 .000 .000 N 398 398 392 398 398 Engine Displacemen Pearson Correlatio (cu. inches) -.789** 1 .897** .933** -.545 Sig. (2-tailed) .000 .000 .000 .000 N 398 408 400 406 406 Horsepower Pearson Correlatio -.771* .897* 1 .859* -.701* Sig. (2-tailed) .000 .000 .000 .000 N 392 400 400 400 400 Vehide Weight (Ibs.) Pearson Correlatio -.807 .933 .859*1 1 -.415 Sig. (2-tailed) .000 .000 .000 .000 398 408 400 406 408 Time to Accelerate Pearson Correlatio .434* -.545* -701 -415 1 from 0 to 60 mph (se Sig. (2-tailed) .000 .000 .000 .000 N 398 408 400 408 406 **. Correlation is significant at the 0.01 level (2-tailed). What two words would you use to describe the relationship between horsepower and vehicle weight?
Can you please check my work
CHI-SQUARE STATISTICAL TEST RESULTS X2 df р X2 critical (1 tail 5%) X2 critical (2 tail 5%)
None
Regression analysis
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Parametric Inferential Statistics give answer in neatly understandable writing please