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On the following pages you are presented with five problems. Your is a statistically significant relationship between the two variables, the pattern or direction of the relationship if the relationship is significant, and the strength of the relationship if the relationship is significant. As you discuss the strength of the relationship, you will rely on an appropriate measure of association from those that have been given. For that determination, you will need to appropriately determine the level of measurement of each of the variables being examined. Please use the Measures of Association Chart I provided to help you with your determination. You may write your responses on a separate document or next to the problems on this one.

On the following pages you are presented with five problems. Your is a statistically significant relationship between the two variables, the pattern or direction of the relationship if the relationship is significant, and the strength of the relationship if the relationship is significant. As you discuss the strength of the relationship, you will rely on an appropriate measure of association from those that have been given. For that determination, you will need to appropriately determine the level of measurement of each of the variables being examined. Please use the Measures of Association Chart I provided to help you with your determination. You may write your responses on a separate document or next to the problems on this one.

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
Problem 1P
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On the following pages you are presented with five problems. Your job is to examine the output and discuss whether there is a statistically significant relationship between the two variables, the pattern or direction of the relationship if the relationship is significant, and the strength of the relationship if the relationship is significant. AS you discuss the strength of the relationship, you will rely on an appropriate measure of association from those that have been given. For that determination, you will need to appropriately determine the level of measurement of each of the variables being examined. Please use the Measures of Association Chart I provided to help you with your determination. You may write your responses on a separate document or next to the problems on this one.
Transcribed Image Text:On the following pages you are presented with five problems. Your job is to examine the output and discuss whether there is a statistically significant relationship between the two variables, the pattern or direction of the relationship if the relationship is significant, and the strength of the relationship if the relationship is significant. AS you discuss the strength of the relationship, you will rely on an appropriate measure of association from those that have been given. For that determination, you will need to appropriately determine the level of measurement of each of the variables being examined. Please use the Measures of Association Chart I provided to help you with your determination. You may write your responses on a separate document or next to the problems on this one.
5. Does race (RACECEN) have an effect on whether respondents fear to walk within one mile of where they live (FEAR)? Afraid to walk at night in neighborhood Race or ethnicity Crosstabulation Race or ethnicity American Asian Indian and American Alaska and Pacific White Black Native Islander Hispanic Total 7. 18 37 510 342 106 Afraid to walk at night YES Count 40.9% 28.0% 36.7% 44.6% 33.1% in neighborhood %within Race or 30.4% ethnicity NO 784 153 18 31 46 1032 Count %within Race or 69.6% 59.1% 72.0% 63.3% 55.4% 66.9% ethnicity 1126 259 25 49 83 1542 Total Count % within Race or 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% othnicity Chi-Square Tests Asymptotic Significance (2- Value df sided) Pearson Chi-Square 16.476 4 002 Likelihood Ratio 16.065 4 .003 Linear-by-Linear Association 9,858 .002 Nof Valid Cases 1542 a. O cells (0.0%) have expected count less than 5. The minimum Directional Measures Asymptotic Standard Approximate Approximate Error T. Significance Value .000 .000 Lambda Symmetric Nominalby .000 000 Afraid to walk atnight in Nominal neighborhood Dependent .000 .000 Race or ethnicity Dependent .002 .011 .005 Goodman and Kruskal Afraid to walk at night in tau neighborhood Dependent .006 .003 .000" Race or ethnicity Dependent a. Notassuming the null hypothesis. b. Cannot be computed because the asymptotic standard error equals zero. c. Based on chi-square approximation Symmetric Measures Approximate Value Significance Nominal by Nominal Phi .103 .002 Cramer's V 103 002 N of Valid Cases 1542
Transcribed Image Text:5. Does race (RACECEN) have an effect on whether respondents fear to walk within one mile of where they live (FEAR)? Afraid to walk at night in neighborhood Race or ethnicity Crosstabulation Race or ethnicity American Asian Indian and American Alaska and Pacific White Black Native Islander Hispanic Total 7. 18 37 510 342 106 Afraid to walk at night YES Count 40.9% 28.0% 36.7% 44.6% 33.1% in neighborhood %within Race or 30.4% ethnicity NO 784 153 18 31 46 1032 Count %within Race or 69.6% 59.1% 72.0% 63.3% 55.4% 66.9% ethnicity 1126 259 25 49 83 1542 Total Count % within Race or 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% othnicity Chi-Square Tests Asymptotic Significance (2- Value df sided) Pearson Chi-Square 16.476 4 002 Likelihood Ratio 16.065 4 .003 Linear-by-Linear Association 9,858 .002 Nof Valid Cases 1542 a. O cells (0.0%) have expected count less than 5. The minimum Directional Measures Asymptotic Standard Approximate Approximate Error T. Significance Value .000 .000 Lambda Symmetric Nominalby .000 000 Afraid to walk atnight in Nominal neighborhood Dependent .000 .000 Race or ethnicity Dependent .002 .011 .005 Goodman and Kruskal Afraid to walk at night in tau neighborhood Dependent .006 .003 .000" Race or ethnicity Dependent a. Notassuming the null hypothesis. b. Cannot be computed because the asymptotic standard error equals zero. c. Based on chi-square approximation Symmetric Measures Approximate Value Significance Nominal by Nominal Phi .103 .002 Cramer's V 103 002 N of Valid Cases 1542
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