BUS 308 NEW (Ashford) Week 3 to Week 5 – Discussions

BUS 308 NEW (Ashford) Week 3 to Week 5 – Discussions

Week 3 DQs

DQ 1: In many ways, comparing multiple sample means is simply an extension of what we covered last week.  What situations exist where a multiple (more than two) group comparison would be appropriate? (Note: Situations could relate to your work, home life, social groups, etc.).  Create a null and alternate hypothesis for one of these issues.  What would the results tell you?

DQ 2: Several statistical tests have a way to measure effect size.  What is this, and when might you want to use it in looking at results from these tests on job related data?

Week 4 DQs

DQ 1: Looking back at the data examples you have provided in the previous discussion questions on this issue, how might adding confidence intervals help managers understand results better?

DQ 2: What are some examples of variables that you might want to check using the chi-square tests?

Week 5 DQs

DQ 1:What results in your departments seem to be correlated or related to other activities?  How could you verify this?  Create a null and alternate hypothesis for one of these issues. What are the managerial implications of a correlation between these variables?

DQ 2: What times we can generate a regression equation to explain outcomes.  For example, an employee’s salary can often be explained by their pay grade, appraisal rating, education level, etc.  What variables might explain or predict an outcome in your department or life?  If you generated a regression equation, how would you interpret it and the residuals from it?