...o AT&T; 7:14 PM Using the following scenario below, complete the following: C
ID: 3307288 • Letter: #
Question
...o AT&T; 7:14 PM Using the following scenario below, complete the following: Critcally evaluate the sample size Critically evaluate statements of meaningfulness Critically evaluate statements for statistical significance Explain implications for social change Thank you 4. A study has resuits that seem fine, but there is no clear association to social change. What is missing? A correlation test was conducted to determine whether a relationship exists between level of income and job satisfaction. The sample consisted of 432 employees equally represented across public, private, and non-profit sectors. The results of the test demonstrate a strong positive correlation between the two variables, r #87, pExplanation / Answer
The sample cnsisted of 432 employees, which means 432 pairs of data were recoreded, that is for each employee, income and job satisfaction scores were recorded.
There are two variables-income and job satisfaction. The two variables are found to be strongly assocaited, r=0.87 (a value of r close to +1 indicate strong association). From the sign of r (positive sign) it is found that there is positive association between the variables and that the variables are linearly associated, that is if income increases, job satisfaction also increases.
The reported p value is less than 0.01. Per rejection rule based on p value, reject null hypothesis [H0: income and job satisfaction are linearly uncorrelated], if p value is less than alpha=0.05. Here, 0.01<0.05, therefore, reject H0 and conclude that income and job satisfaction are positively correlated.
Income and job satisfaction are positively correlated, which implies as income increases job satisfaction decreases. The association holds no clear impact on social change.
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