A solar power engineer took a random sample of houses and installed the same type of solar panels using twodifferent methods on each house to investigate whether there is a mean difference in the angles of installationbetween the two methods for all houses in the population of interest. The engineer found the sample meandifference between the two methods to be 0.2 degree and the p-value for a two-sided matched-pairs t-test for themean difference to be 0.65.Assuming the conditions for inference are met, which of the following statements is the best interpretation of the p-value?(A) The probability that the null hypothesis is true is 0.65.(B) If the null hypothesis is true, the probability is 0.65 of observing a mean difference of 0.2 degree or -0.2(C)(D)(E)degree.If the null hypothesis is true, the probability is 0.65 of observing a mean difference of greater than 0.2degree or less than -0.2 degree.If the null hypothesis is true, the probability is 0.65 of observing a mean difference of greater than 0.2degree.If the null hypothesis is true, the probability is 0.65 of observing a mean difference of less than -0.2degree.

The objective of the question is to interpret the p-value in the context of a two-sided…

Answered: A solar power engineer took a random…

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 physical therapist wanted to know whether the mean step pulse of men was less than the mean step pulse of women. She randomly selected 51 men and 71 women to participate in the study. Each subject was required to step up and down a 6-inch platform. The pulse of each subject was then recorded. The following results were obtained. Two sample T for Men vs Women Mean StDev SE Mean Men Women 95% Cl for mu Men - mu Women (- 11.44, - 1.96) T-Test mu Men = mu Women (vs H2 OC. Ho: H1 = H2i Hại Hy # H2
A transect is an archaeological study area that is mile wide and 1 mile long. A site in a transect is the location of a significant archaeological find. Let x represent the number of sites per transect. In a section of Chaco Canyon, a large number of transects showed that x has a population variance o- 39.5. In a different section of Chaco Canyon, a random sample of 23 transects gave a sample variance s-57.5 %3D for the number of sites per transect. Use an a - 0.01 to test the claim that the variance in the new section is greater than 39.5. Find the value of the chi-square statistic for the sample. O 32.03 46.62 O 50.86 O 33.48 O 48,74
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The z-statistic for the difference between the tvlo sample proportions is 5.266 with a P- value of 0.00000014. What conclusion could you make about the difference between the two population proportions if the level of significance is set to 0.05? O The difference is not statistically significant because the sample proportion difference of 0.05 is equal to the significance level of 0.05 The difference is statistically significant because the P-value of 0.00000014 is less than the significance level of 0.05. O The difference is statistically significant because the z-statistic of 5.266 is greater than the significance level of 0.05. O The difference is not statistically significant because the significance level of 0.05 is greater than the P-value of 0.00000014.
Solve using following 7 steps/format provided in picture. Required to do the 7 steps provided in pic. Write readable thanks.
You are conducting a study to see if the proportion of voters who prefer Candidate A is significantly different from 0.18. Thus you are performing a two-tailed test. Your sample data produce the test statistic z=-2.364. Find the p-value accurate to 4 decimal places. p-value =
Data is collected to compare two different types of batteries. We measure the time to failure of 10 batteries of each type. Battery A: mean= 8.65 Battery B: mean=11.23 Assume equal variances. Perform a .05 level test to determine if Battery B outlasts Battery A by more than 2 hours. Use Sp= .88569 What is the Chart Value for this problem?
PSOHS had administered an IQ level test to 15 randomly selected G11 students. And the result they found from that was the average IQ level score was 110 with a variance of 35. Assume that the t score is 2.365. What is the population mean for this test, which would justify t score value as 2.365.
One sample is selected to represent scores in treatment 1 and a second sample is used to represent scores in treatment 2. Which set of sample statistics would present the clearest picture of a real difference between the two treatments? Group of answer choices M1 = 36; M2 = 40; and both variances =43 M1 = 38; M2 = 40; and both variances =43 M1 = 36; M2 = 40; and both variances =6 M1 = 38; M2 = 40; and both variances =6
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use excel if possible :)
Earlier this semester, we learned to use 2-Sample-TTest to compare the population means of two independent populations. One-way ANOVA is more powerful because it could compare the population means of three or more independent populations. However, use of one-way ANOVA also requires the assumption that the populations have the same variance. In this exercise, we will compare and contrast One-way ANOVA and 2-Sample-TTest. With the 2-Sample- TTEST, we will first choose 'No' for the pooled variances option, then re-run the test while choosing 'Yes' for the pooled variances option. Use the following data to complete these tasks. Depending on if you choose to do this by hand or using code, use the data format that suits you best - LONG form on top or WIDE form on bottom. Treatment One One One One One One Two Two Two Two Two Two 8.7 6.7 5.9 6.4 5.8 8.1 Response 8.7 6.7 5.9 6.4 5.8 8.1 5.4 3.8 Treatment Treatment One Two 3.3 2.6 5.5 3.9 p-value= 5.4 3.8 3.3 2.6 5.5 3.9 1. Use One-way ANOVA to…

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