For each of the five variables, process, organize, present and summarize the data. Analyze each variable by itself using graphical and numerical techniques of
summarization. Use Excel as much as possible, explaining what the results reveal. Some of the following graphs may be helpful: stem-leaf diagram,
frequency/relative frequency table, histogram, boxplot, dotplot, pie chart, bar graph. Caution: not all of these are appropriate for each of these variables,
nor are they all necessary. More is not necessarily better. In addition be sure to find the appropriate measures of central tendency, the measures of
dispersion, and the shapes of the distributions (for the quantitative variables) for the above data. Where appropriate, use the five number summary (the Min,
Q1, Median, Q3, Max). Once again, use Excel as appropriate, and explain what the results mean.
Analyze the connections or relationships between the variables. There are ten possible pairings of two variables. Use graphical as well as numerical summary
measures. Explain the results of the analysis. Be sure to consider all 10 pairings. Some variables show clear relationships, while others do not.