You are conducting a multinomial hypothesis test (a = 0.05) for the claim that all 5 categories are equallylikely to be selected. Complete the table. The Squared Pearson Residuals are the (0 - E)2/E and can be foundin the TI84 in the CNTRB list of the GOF Test.ExpectedFrequencySquaredPearsonObservedCategoryFrequencyResidualA14В11C19D25EReport all answers accurate to three decimal places. But retain unrounded numbers for future calculations.What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, andremember to use the unrounded Pearson residuals in your calculations.)x²What are the degrees of freedom for this test?d.f.=What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value =The p-value is...less than (or equal to) aO greater than aThis test statistic leads to a decision to...O reject the null hypothesisaccept the null hypothesisfail to reiect the null hypothesis What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, andremember to use the unrounded Pearson residuals in your calculations.)What are the degrees of freedom for this test?d.f.=What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value%3DThe p-value is...O less than (or equal to) aO greater than aThis test statistic leads to a decision to...reject the null hypothesisaccept the null hypothesisfail to reject the null hypothesisaccept the alternative hypothesisAs such, the final conclusion is that...There is enough evidence to show that all 5 categories are not equally likely to be selected.There is not enough evidence to show that all 5 categories are not equally likely to be selected.There is enough evidence to show that all 5 categories are equally likely to be selected.O There is not enough evidence show that all 5 categories are equally likely to be selected.O O O O

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What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, and remember to use the unrounded Pearson residuals in your calculations.) What are the degrees of freedom for this test? d.f.= 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) a O greater than a This test statistic leads to a decision to... O reject the null hypothesis accept the null hypothesis O fail to reiect the pull bypothesis

What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, and remember to use the unrounded Pearson residuals in your calculations.) What are the degrees of freedom for this test? d.f.= 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) a O greater than a This test statistic leads to a decision to... O reject the null hypothesis accept the null hypothesis O fail to reiect the pull bypothesis

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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Test Statistics Identify the test statistic that should be used for testing the following given claims. a. The mean of the differences between IQ scores of husbands and IQ scores of their wives is equal to 0. b. The mean age of female CIA agents is equal to the mean age of male CIA agents. c. The proportion of left-handed men is equal to the proportion of left-handed women. d. The variation among pulse rates of women is equal to the variation among pulse rates of men.
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IQ scores for three different blood lead levels was measured. If we use three categories of blood lead levels with measured verbal IQ scores, we get the computer output which is summarized in table form. Using a 0.05 significance test, test the claim that the three categories of blood lead level have the same mean verbal IQ score. Does exposure to lead appear to have an effect on verbal IQ scores? Interpret the table below. Source of variation df Sum of squares Mean squares Computed f p-value LEAD 2 142 71 0.39 0.677 Error 118 21441 182 Total 120 21584
An experiment with a single factor has been conducted as a completely randomized design. A portion of the output is shown below. Source MS F DF 3 25.69 Factor 84.35 Error ? Total 161.42 15 The estimate of the variance of any observation in the experiment is 7.03
What is the proportion that lies between the z scores under the normal curve? A. 1.00 and -1.00 B. 1.96 and -1.96 C. 2.58 and -2.58 D. 0.00 and 1.00 E. 1.50 and 0.10 F. 2.00 and 0.80
The output below is for a t-test for the hypothesis: Individuals living in bad neighborhoods commit more crime than those living in good neighborhoods. The data in the Group Statistics section provides you with the average number of crimes committed by individuals living in good and bad neighborhoods and the standard deviation of this same variable. The findings of significance are located in the Independent Samples Test section. Pay particular attention to the "t" column and the "Sig (2-tailed)"column. The "t" column is the t value that you would have calculated by hand (as we learned in class). The "Sig (2-tailed)"column provides you with the p value (the level of significance of this relationship). In this column, any value below .05 indicates that you would have rejected your null hypothesis. 1. Can someone tell me about the relationship of all these data? I'm trying to determine if my hypothesis, listed below, can be proven or disproven? 2. What is the independent variable and…
Which is true about the z-score? a. also called reference score O b. z=(x-µ)/o O c. Let's you compare the results to the sample. O d. all of the above
attached - see image - question was previously not completed. I just got the answer for range - there are multiple questions within the problem - thanks
You are conducting a test of homogeneity for the claim that two different populations have the same proportions of the following two characteristics. Here is the sample data. Population Population # 1 Category # 2 A. 18 13 B. 62 53 What is the chi-square test-statistic for this data? Report all answers accurate to three decimal places.
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You are conducting a test of homogeneity for the claim that two different populations have the same proportions of the following two characteristics. Here is the sample data. Category Population Population # 1 # 2 21 79 B. 37 48 What is the chi-square test-statistic for this data? Report all answers accurate to three decimal places.