Outcomes: Choose one of the data sets attached above and use Descriptive Statistics to organize raw data into a table, make graphs, and find measures of central tendency, dispersion, and outliers.
· Your introduction and Data collection:
The most important aspects of any statistical analysis are stating questions and collecting data. Therefore, to get the full experience of running your own study, the project requires you to analyze data that you collect.
· Your reasons for choosing the topic of your project
· Any possible biases that might have played a role in how the data set was obtained.
· Perform the following operations:
· Sort the data in ascending order
· Make a table with five to seven classes, including their frequency distribution, midpoints, and cumulative frequency.
· Use the table to construct a:
1. Frequency polygon.
2. Relative frequency histogram. State any skewedness the graph might display.
Note: You can use software (Excel, MINITAB, etc.) or draw them by hand using graph paper.
· Use your calculator or software to calculate the following descriptive statistics.
1. Mean
2. Standard Deviation
3. Median
4. First Quartile
5. Third Quartile
· Use the values from above to:
1. Construct an IQR boxplot.
2. Determine which data values, if any, are outliers.
· Which measure of “Average” do you feel best describes your data set.
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