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Carry out a chi-square test for goodness of fit for the study (use the 0.01 level). Category Expected Observed A 5% 7 Click the icon to view the table of cutoff scores for the chi-square distribution. B 14% 39 35% 92 D 31% 125 E 14% 40 1% 15 ..... State the null and research hypotheses. Choose the correct answer below. O A. The null hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. The research hypothesis is that the percent in each category of the population is different. O B. The null hypothesis is that the percent in at least one category of the population is different. The research hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. OC. The null hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. The research hypothesis is that the percent in at least one category of the population is different. Determine the cutoff sample score at which the null hypothesis should be rejected. The cutoff value is. (Round to three decimal places as needed.) Determine the chi-square statistic. x2 = (Round to three decimal places as needed.) Decide whether to reject the null hypothesis. Ho. At the 0.01 significance level, there V sufficient evidence to conclude that the category distribution of the two populations are different.

Carry out a chi-square test for goodness of fit for the study (use the 0.01 level). Category Expected Observed A 5% 7 Click the icon to view the table of cutoff scores for the chi-square distribution. B 14% 39 35% 92 D 31% 125 E 14% 40 1% 15 ..... State the null and research hypotheses. Choose the correct answer below. O A. The null hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. The research hypothesis is that the percent in each category of the population is different. O B. The null hypothesis is that the percent in at least one category of the population is different. The research hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. OC. The null hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. The research hypothesis is that the percent in at least one category of the population is different. Determine the cutoff sample score at which the null hypothesis should be rejected. The cutoff value is. (Round to three decimal places as needed.) Determine the chi-square statistic. x2 = (Round to three decimal places as needed.) Decide whether to reject the null hypothesis. Ho. At the 0.01 significance level, there V sufficient evidence to conclude that the category distribution of the two populations are different.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Carry out a​ chi-square test for goodness of fit for the study​ (use the 0.01

​level).

Carry out a chi-square test for goodness of fit for the study (use the 0.01 level). Category Expected Observed A 5% 7 Click the icon to view the table of cutoff scores for the chi-square distribution. B 14% 39 C 35% 92 31% 125 14% 40 1% 15 State the null and research hypotheses. Choose the correct answer below. O A. The null hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. The research hypothesis is that the percent in each category of the population is different. O B. The null hypothesis is that the percent in at least one category of the population is different. The research hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. O C. The null hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. The research hypothesis is that the percent in at least one category of the population is different. Determine the cutoff sample score at which the null hypothesis should be rejected. The cutoff value is. (Round to three decimal places as needed.) Determine the chi-square statistic. x = (Round to three decimal places as needed.) Decide whether to reject the null hypothesis. Ho. At the 0.01 significance level, there V sufficient evidence to conclude that the category distribution of the two populations are different.
Transcribed Image Text:Carry out a chi-square test for goodness of fit for the study (use the 0.01 level). Category Expected Observed A 5% 7 Click the icon to view the table of cutoff scores for the chi-square distribution. B 14% 39 C 35% 92 31% 125 14% 40 1% 15 State the null and research hypotheses. Choose the correct answer below. O A. The null hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. The research hypothesis is that the percent in each category of the population is different. O B. The null hypothesis is that the percent in at least one category of the population is different. The research hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. O C. The null hypothesis is that the population is 5% category A, 14% category B, 35% category C, 31% category D, 14% category E, and 1% category F. The research hypothesis is that the percent in at least one category of the population is different. Determine the cutoff sample score at which the null hypothesis should be rejected. The cutoff value is. (Round to three decimal places as needed.) Determine the chi-square statistic. x = (Round to three decimal places as needed.) Decide whether to reject the null hypothesis. Ho. At the 0.01 significance level, there V sufficient evidence to conclude that the category distribution of the two populations are different.
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