In a test of hypothesis, the null hypothesis is that thepopulation mean is greater than or equal to 37 and thealternative hypothesis is that the population mean is lessthan 37. The population has a normal distribution withvariance of 10.6. The test is to be made at the 5%significance level. In order that the value of power atM₁ = 35. 27 to be 0.9, how large a sample do we need?O d. 20O e. 38O c. 6O a. 31O b. 63

Population mean μ=37Population variance σ2=10.6Critical value: μ<37μ1=35.27At 5% significance…

Answered: In a test of hypothesis, the null…

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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16. Standardized test scores are normally distributed with an average of 500 and a variance of 100. What is the chance that a score is between 485 and 550? A. 0.2511 B. 0.3520 C. 0.6554 D0.9332
A researcher selects a sample from a population with µ = 30 and uses the sample to evaluate the effect of a treatment. After treatment, the sample has a mean of M = 32 and a variance of s2 = 6. If Cohen’s d is used to measure the size of the treatment effect, which of the following would have no effect on the value of Cohen’s d? Group of answer choices an increased sample size an increased sample mean an increase sample variance Each of these of these aspects will influence the value of Cohen’s d.
A sample of 90 items from population 1 has a sample variance of 6, while a sample of 70 items from population 2 has a sample variance of 10. If we test whether the variances of the two populations are equal, the test statistic will have a value of O a. 0.78 O b. 1.67 O c.0.60 O d. 1.29
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You wish to test the claim that the first population mean is not equal to the second population mean at a significance level of α=0.02 . Ho:μ1=μ2 Ha:μ1≠μ2 You obtain the following two samples of data. Sample #1 Sample #2 67.1 64.2 32.7 49.0 63.8 54.8 63.5 54.1 65.6 54.8 40.5 58.7 39.4 43.1 72.5 73.1 70.2 71.2 68.1 73.1 79.7 67.3 66.5 61.7 62.9 76.5 What is the test statistic for this sample?test statistic = Round to 3 decimal places. What is the p-value for this sample?p-value = Use Technology Round to 4 decimal places. The p-value is... less than (or equal to) α greater than α This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean. There is not sufficient…
You have a population mean µ=27, and a sample mean of 29. The sample variance equals 6. Compute Cohen’s d
Solve the problem. When performing a hypothesis test for the ratio of two population variances, the upper critical F value is denoted FR. The lower critical F value, FL, can be found as follows: interchange the degrees of freedom, and then take the reciprocal of the resulting F value found in table A-5. FR can be denoted Fa/2 and FL can be denoted F1-a/2 - Find the critical values FL and FR for a two-tailed hypothesis test based on the following values: n₁ = 4, n₂ = 8, a = 0.05 0.1703, 5.8898 0.1112, 5.0453 0.0684. 5.8898 O 0.1211, 4.3541

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