You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze data on firefighters who applied for promotion. The assistant chief wants to ensure that gender bias is not a concern in the promotion of firefighters. Shown below is data for 50 firefighters who applied for promotion and the results of a chi-square analysis of the data. Male Female Promoted 13 22 Not Promoted 10 5 Chi-Square Statistic 3.6845 P value 0.054919 What factors should the assistant chief consider in determining the presence of gender bias in firefighter promotion? Is the promotional status of recently promoted firefighters independent of their gender? What reasons should the assistant chief convey to the fire chief to justify the absence of gender bias in the most recent class of firefighters who were promoted? How might the presence of gender bias in promotions impact the fire department?

Open the excel workbook called Density. The first column indicates a states two-letter abbreviation and the second column indicates the number of people per square mile. We want to classify each state as having low population density, medium population density, or high population density. States with low population density have less than 75 people per square mile. States with medium population density have at least 75 people per square mile, but less than 200 people per square mile. States with at least 200 people per square mile have a high population density. Label column C Population Density. In column C of the spreadsheet, have excel classify each state's population density as being one of "low", "Medium", or "HIGH".