Program Evaluation: Needs Analysis The Department of Public Safety was contemplating whether it was time to start up a Defensive Driving program which would be different in content, focus, and delivery for males and females. But before they made that decision, they wanted to determine if there really was a need to go to the expense of developing and administering different Defensive Driving programs. In other words, do men and women have different driving habits, practices, and outcomes? The following represents the data derived from a needs analysis research study designed to answer the question. The variables in this study are: (1) the gender of automobile drivers, (2) whether they have driven "many" miles in their lifestyle or "few" miles, (3) whether they have had "many" accidents or "few" accidents. Gender Miles Driven # of Accidents N (# of drivers found in each category) Women Few Many 20 Women Few Few 180 Women Many Many 80 Women Many 20 Men Few Many 5 Men Few Few 45 Men Many Many 160 Men Many Few 40 If one considers two variables at a time, there are three possible hypotheses to consider with this data. Hypothesis 1: Men have more accidents than do women. 1. Identify the independent and dependent variables in the hypothesis. 2. Construct a two-variable table (see example below) that depicts your data findings to test your hypothesis.Gender Male Female Few # of drivers # of drivers Accidents Many # of drivers # of drivers 3. Interpret your results and decide if your hypothesis is confirmed or disconfirmed. Hypothesis 2: 1. Identify the independent and dependent variables in the hypothesis. 2. Construct a two-variable table (see example below) that depicts your data findings to test your hypothesis. Gender Male Female Few # of drivers # of drivers Miles Many # of drivers # of drivers 3. Interpret your results and decide if your hypothesis is confirmed or disconfirmed. Hypothesis 3: 1. Identify the independent and dependent variables in the hypothesis. 2. Construct a two-variable table (see example below) that depicts your data findings to test your hypothesis. Accidents Few Many Few # of drivers # of drivers Miles Many # of drivers # of drivers 3. Interpret your results and decide if your hypothesis is confirmed or disconfirmed.Assignment #13 Variables Gender: male vs. female Miles: few vs. many Accidents: few vs. many Gender Male Female Few Accidents Many Gender Male Female Few Miles Many Accidents Few Many Few Miles Many