# MAT-131 Individual Project

Instructions for the MAT- 131 Individual Project

Use the dataset in the ” Male Data” and ” Female Data” tabs to complete the following:

(1) Create a Bar-Chart using two different colors to represent the Male and Female data categories. Use age groups (e.g. 10-20 , 20-30, 30-40, etc.) to categorize and graph the average weight for males and females. Be sure to label your categories and groups so they are shown on the graph.

(2) Create a pie-chart to represent the age brackets of all participants. You will combine the Male and Female results and only report age group categories, similar to #1. Be sure to label your groups so they are shown on the graph.

(3) Compare Male and Female Cholesterol levels. Support your results by including all measures of central tendencies and measures of dispersion that we have covered in the class. This will include mean, median, midrange, range, standard deviation.

Note: You will find another tab called ” Examples” that show you samples of a Bar-chart and a Pie- chart. You can use this example to help you with questions #1 and #2.

Instructions for this project were sent last module via course email and consisted of a set of data with three independent
questions. The first question asks you to create a histogram or bar graph for some variable categorized by age and split for men
and women. This extends the idea of bar graphs because you will use the ages as the classes, but the height of your bars will be
the average (mean) of the variable within each age bracket for men and for women. The most common error for this graph is
having a bar for every single data point, rather than a single bar for men and a single bar for women within each age group. The
second question asks for a pie chart for some variable. The most common mistake for the second question is that people get
stuck on splitting the data into men and women. For this question, when it does not ask you to separate men and women, it asks
for a single pie chart for the frequency of the variable without regard to gender. The last question asks for basic central tendency
and dispersion. For this, the only mistake some people seem to make is to possibly miss one of the measures of central
tendency or dispersion. Or, occasionally someone will break the data down into categories from the prior questions rather than
just the two groups asked for in question 3.