This test statistic leads to a decision to...O reject the nullO accept the nullO fail to reject the nullAs such, the final conclusion is that...O There is sufficient evidence to warrant rejection of the claim that the first population mean isnot equal to the second population mean.O There is not sufficient evidence to warrant rejection of the claim that the first populationmean is not equal to the second population mean.O The sample data support the claim that the first population mean is not equal to the secondpopulation mean.O There is not sufficient sample evidence to support the claim that the first population mean isnot equal to the second population mean. You wish to test the following claim (H) at a significance level of a = 0.005.H₂:1 = μ₂Ha: M1 M₂You believe both populations are normally distributed, but you do not know the standard deviationsfor either. However, assume that the variances of the two populations are equal. You obtain asample of size n₁ = 20 with a mean of ₁ = 60.9 and a standard deviation of SD₁ = 6.2 fromthe first population. You obtain a sample of size n₂ = 15 with a mean of 2 = 76.9 and a standarddeviation of SD2 = 18.6 from the second population.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic =What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value =The p-value is...O less than (or equal to) aOgreater than a

Given n1=20,x¯1=60.9,SD1=6.2 and n2=15,x¯2=76.9,SD2=18.6.

Answered: You believe both populations are…

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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Part 1. .If b = 0.523, then for every 1 unit increase in the independent variable, there is a 0.523 unit increase in the dependent variable. True or false? 2. .If b = .704, then 70.4% of the variance in the dependent variable can be explained by the variance in the independent variable. In contrast, 29.6% of the variance in the dependent variable can be explained by outside factors. True or false? 3. .If r = 0.444, then for every 1 unit increase in the independent variable, there is a 0.444 unit increase in the dependent variable. True or false?
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