For this study, why we would want to use Chi-Squared? 1.A study investigating the effects of second-hand smoke in working environments asked the following question: “How often do you experience second-hand smoke in a work environment/function? Never, Occasionally, Fairly Often, Very Often, Almost Always.” The question was asked of managers and employees to determine whether there was an association between position and the amount of second-hand smoke exposure.

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For this study, why we would want to use Chi-Squared?  1.A study investigating the effects of second-hand smoke in working environments asked the following question: “How often do you experience second-hand smoke in a work environment/function? Never, Occasionally, Fairly Often, Very Often, Almost Always.”  The question was asked of managers and employees to determine whether there was an association between position and the amount of second-hand smoke exposure.

SoosteethicU · Accepted Answer

Step 1  The chi-square test is generally used for testing relationship between categorical data.  For the described problem we have two categorical variables as, how often do you experience the second-hand smoke work environment (Never, Occasionally, Fairly Often, Very Often, Almost Always) and the position.  Step 2  Thus, to check the association between position and the amount of second-hand smoke exposure chi-squared test is best.  The best way to summarize the data is using the contingency table using appropriate number of rows and columns.

For this study, why we would want to use Chi-Squared? 1.A study investigating the effects of second-hand smoke in working environments asked the follo

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