Consider the following mean-square differential equation, driven by a WSS random process with psd The differential equation is subject to the initial condition , where the random variable has zero-mean, variance 5, and….
Run the criteria of the pretest checklist (normality [for both variables], linearity, homoscedasticity) and discuss your findings.
An educational scientist wants to examine the correlation between years of education and job satisfaction. To address this question, the scientist recruits a group of participants and has each complete a self-administered survey; the first question asks how many years of education the participant has (e.g., 12 = high school diploma, 14 = associate’s degree, 16 = bachelor’s degree, 18 = master’s degree). The remaining questions consist of the Acme Job Satisfaction Index (AJSI), which produces a score between 0 and 60 (0 = very unsatisfied with job, 60 = very satisfied with job).
Data set: Ch 08 – Exercise 05A.sav Codebook Variable: yearsed Definition: Number of years of education Type: Continuous Variable: ajsi Definition: Acme Job Satisfaction Index score Type: Continuous (0 = very unsatisfied with job, 60 = very satisfied with job)
1. Write the hypotheses.
2. Run the criteria of the pretest checklist (normality [for both variables], linearity, homoscedasticity) and discuss your findings.
3. Run the bivariate correlation, scatterplot with regression line, and descriptive statistics for both variables and document your findings (r and Sig. [p value], ns, means, standard deviations) and hypothesis resolution.
4. Write an abstract up to 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings