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On the following pages you are presented with five problems. Your job is to examine the output and discuss WRetker 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 job is to examine the output and discuss WRetker 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. 3. Does social class (CLASS) affect the highest degree attained (DEGREE) by individuals? R's highest degree Subjective class identification Crosstabulation Subjective class identification WORKING MIDDLE UPPER LOWER CLASS CLASS CLASS CLASS Total 78 257 48 124 R's highest degree LT HIGH SCHOOL Count 7.7% 8.4% 11.0% S within Subjective class 22.7% 12.2% identification 602 411 25 1172 HIGH SCHOOL Count 134 50.2% %within Subjective class 63.5% 59.0% 40.3% 30.1% 14 107 72 195 JUNIOR COLLEGE Count %within Subjective class 10.5% 7.1% 2.4% 8.4% 6.6% identification 288 25 464 141 Count Swithin Subjective class 28.3% 30. 1% 19.9% 4.7% 13.8% identification GRADUATE Count 46 170 24 245 %within Subiective class 2.4% 4.5% 16.7% 28.9% 10.5% identification Total Count 211 1020 1019 83 2333 s within Subjective class 100.0% 100.0% 100.0% 100.0% 100.0% identification
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. 3. Does social class (CLASS) affect the highest degree attained (DEGREE) by individuals? R's highest degree Subjective class identification Crosstabulation Subjective class identification WORKING MIDDLE UPPER LOWER CLASS CLASS CLASS CLASS Total 78 257 48 124 R's highest degree LT HIGH SCHOOL Count 7.7% 8.4% 11.0% S within Subjective class 22.7% 12.2% identification 602 411 25 1172 HIGH SCHOOL Count 134 50.2% %within Subjective class 63.5% 59.0% 40.3% 30.1% 14 107 72 195 JUNIOR COLLEGE Count %within Subjective class 10.5% 7.1% 2.4% 8.4% 6.6% identification 288 25 464 141 Count Swithin Subjective class 28.3% 30. 1% 19.9% 4.7% 13.8% identification GRADUATE Count 46 170 24 245 %within Subiective class 2.4% 4.5% 16.7% 28.9% 10.5% identification Total Count 211 1020 1019 83 2333 s within Subjective class 100.0% 100.0% 100.0% 100.0% 100.0% identification
Chi-Square Tests Asymptotic Significance (2- Value df sided) 295.560a 12 .000 Pearson Chi-Square 302.557 12 .000 Likelihood Ratio 245.633 1 .000 Linear-by-Linear Association 2333 N of Valid Cases a. O cells (0.0%) have expected count less than 5. The minimum expected count is 6.94. Symmetric Measures Asymptotic Approximate Value Standard Errora Approximate Tb Significance Nominal by Nominal Phi .356 .000 Cramer's V .205 .000 Ordinal by Ordinal Gamma 428 .025 16.066 .000 N of Valid Cases 2333 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis.
Transcribed Image Text:Chi-Square Tests Asymptotic Significance (2- Value df sided) 295.560a 12 .000 Pearson Chi-Square 302.557 12 .000 Likelihood Ratio 245.633 1 .000 Linear-by-Linear Association 2333 N of Valid Cases a. O cells (0.0%) have expected count less than 5. The minimum expected count is 6.94. Symmetric Measures Asymptotic Approximate Value Standard Errora Approximate Tb Significance Nominal by Nominal Phi .356 .000 Cramer's V .205 .000 Ordinal by Ordinal Gamma 428 .025 16.066 .000 N of Valid Cases 2333 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis.
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