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Tab Help O ? 12% D Mon 9:33 PM Chrome File Edit View History Bookmarks People Window ··· H Take Test: Week # 12 assignm S A Not Secure bb.wpunj.edu webapps/assessment/take/launch.jsp?course assessment id= 92221 1&course id= 129468_1&content id=2567819.1&step=null ¥ Question Completion Status: QUESTION 2 This example is taken from A. Field "Discovering Statistics" The chi-square statistic is used in a variety of situations, but one of them is to test whether two categorical variables forming a contingency table are associated. A contingency table displays the cross-classification of two or more categorical variables. The levels of each variable are arranged in a grid, and the number of observations falling into each category is noted in the cells of the table. For example, if we took the categorical variables of learning statistics (with two categories: being forced to learn it or not), and depression (with two categories: diagnosis or not), we could construct a table as below. This instantly tells us that 150 of 155 people who were made to learn statistics ended up with a diagnosis of depression, compared to only 48 of 471 people who did not learn statistics. A chi-square test would enable us to see whether this apparent relationship is statistically significant. Depression Diagnosis No Diagnosis Total Learn Statistics No Statistics Total 150 48 198 423 428 155 471 1252 Calculate the Chi-square following instructions either in Excel, or Google sheets.

Tab Help O ? 12% D Mon 9:33 PM Chrome File Edit View History Bookmarks People Window ··· H Take Test: Week # 12 assignm S A Not Secure bb.wpunj.edu webapps/assessment/take/launch.jsp?course assessment id= 92221 1&course id= 129468_1&content id=2567819.1&step=null ¥ Question Completion Status: QUESTION 2 This example is taken from A. Field "Discovering Statistics" The chi-square statistic is used in a variety of situations, but one of them is to test whether two categorical variables forming a contingency table are associated. A contingency table displays the cross-classification of two or more categorical variables. The levels of each variable are arranged in a grid, and the number of observations falling into each category is noted in the cells of the table. For example, if we took the categorical variables of learning statistics (with two categories: being forced to learn it or not), and depression (with two categories: diagnosis or not), we could construct a table as below. This instantly tells us that 150 of 155 people who were made to learn statistics ended up with a diagnosis of depression, compared to only 48 of 471 people who did not learn statistics. A chi-square test would enable us to see whether this apparent relationship is statistically significant. Depression Diagnosis No Diagnosis Total Learn Statistics No Statistics Total 150 48 198 423 428 155 471 1252 Calculate the Chi-square following instructions either in Excel, or Google sheets.

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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Calculate the Chi-square following instructions either in Excel or Google sheets

File Edit View History Bookmarks People Tab Window Help 12% | Mon 9:33 PM Chrome Rh Take Test: Week # 12 assignm X S e → C A Not Secure bb.wpunj.edu webapps/assessment/take/launch.jsp?course_assessment_id%3D_92221 1&course_id=_129468_1&content id%3 2567819 1&step%3null ¥ Question Completion Status: QUESTION 2 This example is taken from A. Field "Discovering Statistics" The chi-square statistic is used in a variety of situations, but one of them is to test whether two categorical variables forming a contingency table are associated. A contingency table displays the cross-classification of two or more categorical variables. The levels of each variable are arranged in a grid, and the number of observations falling into each category is noted in the cells of the table. For example, if we took the categorical variables of learning statistics (with two categories: being forced to learn it or not), and depression (with two categories: diagnosis or not), we could construct a table as below. This instantly tells us that 150 of 155 people who were made to learn statistics ended up with a diagnosis of depression, compared to only 48 of 471 people who did not learn statistics. A chi-square test would enable us to see whether this apparent relationship is statistically significant. 擁動 Depression Diagnosis No Diagnosis Learn Statistics No Statistics Total 150 48 198 5 423 428 Total 155 471 1252 Calculate the Chi-square following instructions either in Excel, or Google sheets. NOV 2547 esc
Transcribed Image Text:File Edit View History Bookmarks People Tab Window Help 12% | Mon 9:33 PM Chrome Rh Take Test: Week # 12 assignm X S e → C A Not Secure bb.wpunj.edu webapps/assessment/take/launch.jsp?course_assessment_id%3D_92221 1&course_id=_129468_1&content id%3 2567819 1&step%3null ¥ Question Completion Status: QUESTION 2 This example is taken from A. Field "Discovering Statistics" The chi-square statistic is used in a variety of situations, but one of them is to test whether two categorical variables forming a contingency table are associated. A contingency table displays the cross-classification of two or more categorical variables. The levels of each variable are arranged in a grid, and the number of observations falling into each category is noted in the cells of the table. For example, if we took the categorical variables of learning statistics (with two categories: being forced to learn it or not), and depression (with two categories: diagnosis or not), we could construct a table as below. This instantly tells us that 150 of 155 people who were made to learn statistics ended up with a diagnosis of depression, compared to only 48 of 471 people who did not learn statistics. A chi-square test would enable us to see whether this apparent relationship is statistically significant. 擁動 Depression Diagnosis No Diagnosis Learn Statistics No Statistics Total 150 48 198 5 423 428 Total 155 471 1252 Calculate the Chi-square following instructions either in Excel, or Google sheets. NOV 2547 esc
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