Free free to pick a common field with data readily available just don’t use the same metrics if you have answered a similar type question recently. see instructions below. Nothing

  Free free to pick a common field with data readily available just don't use the same metrics if you have answered a similar type question recently. see instructions below. Nothing overly wordy please, concise and hits the required discussion points. need a response by 2359pm 6/22 please.

Comparing Samples

Two or more samples are often compared when we suspect that there are differences between the groups—for example, are women more likely to complete a college degree than men, or are test scores higher in one class than another? When the variable of interest is qualitative (like whether or not a college degree was completed) then we compare the difference in proportions. When the variable is quantitative (like test scores), we look for a difference in means.

In your chosen field, identify a qualitative or quantitative variable that you might want to measure and compare between groups (e.g. from another month or quarter, between different groups or divisions, etc.). Determine the following:

1) Describe the situation (what groups will you compare and what observations or measurements will you be taking), including how and why this would be of interest.

2) Will the data you collect be qualitative or quantitative? This can be tricky! Remember that qualitative data is often collected as "yes/no" data (was a shipment on time, did an employee call in sick, is an employee up to date on required training, etc.) and is summarized in percentages (such as 85% of employees completed training). Quantitative data is a numerical measurement (profit, number of shipments, length of a call, etc.) and is summarized by central tendency.

3) State the null hypothesis for your statistical test.