Question 14Ax goodness-of-fit test where all assumptions were met yielded the chi-square test statistic x² = 1.92 and a corresponding p-value of 0.75. The researcher interpreted the p-value as a 0.75 probability of observing a test statistic of x² = 1.92 or larger. What is wrong with the researcher's interpretation?.2,2AThe researcher did not state that the p-value is conditional on the null hypothesis being true.The researcher interpreted the p-value as the probability of observing 1.92 exactly.CThe alternative hypothesis is not stated.The significance level is not stated.The degrees of freedom are not stated.>4)F11000F1020F3escD00F4F7F8F9F5F6FIF2E 346.710111213141516( 13Question 13A major credit card company is investigating whether the distribution of the number of credit cards used by its customers has changed from last year to this year. Customers areclassified as using 1 card, 2 cards, or more than 2 cards. The company conducts a chi-square goodness-of-fit test to investigate whether there is a change in the distribution ofnumber of cards used from last year to this year. The value of the chi-square test statistic was x? = 7.82 with a corresponding p-value of 0.02. Assuming the conditions forinference were met, which of the following is the correct interpretation of this p-value?AThere is a 2 percent chance that the company's claim is correct.There is a 2 percent chance of obtaining a chi-square value of at least 7.82.CIf the null hypothesis were true, there is a 2 percent chance of obtaining a chi-square value of at least 7.82.If the null hypothesis were true, there is a 2 percent chance that the company's claim is correct.EIf the null hypothesis were true, there is a 2 percent chance of obtaining a chi-square value of 7.82.80O00D00 F4SCF10FIIF1F2F3F5F6F7F8F9852

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Description: Question 14Ax goodness-of-fit test where all assumptions were met yielded the chi-square test statistic x² = 1.92 and a corresponding p-value of 0.75. The researcher interpreted the p-value as a 0.75 probability of observing a test statistic of x² =

The p-value is a conditional probability of getting a test statistic as extreme or more extreme than…

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podness-of-fit test where all assumptions were met yielded the chi-square test statistic x² = 1.92 and a corresponding p-valu a 0.75 probability of observing a test statistic of x2 = 1.92 or larger. What is wrong with the researcher's interpretation? saC %3D %3D The researcher did not state that the p-value is conditional on the null hypothesis being true. The researcher interpreted the p-value as the probability of observing 1.92 exactly. The alternative hypothesis is not stated. D The significance level is not stated. The degrees of freedom are not stated.

podness-of-fit test where all assumptions were met yielded the chi-square test statistic x² = 1.92 and a corresponding p-valu a 0.75 probability of observing a test statistic of x2 = 1.92 or larger. What is wrong with the researcher's interpretation? saC %3D %3D The researcher did not state that the p-value is conditional on the null hypothesis being true. The researcher interpreted the p-value as the probability of observing 1.92 exactly. The alternative hypothesis is not stated. D The significance level is not stated. The degrees of freedom are not stated.

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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