T T03-01 Calculate Descriptive Statistics Purpose Allows the analyst to analyze quantitative data by summarizing it in sorted format, scattergram by observation, frequency dot plot by data value, frequency histogram, as well as calculating numerical descriptive statistics for central tendency (mean, median, mode, quartiles, percentiles), variation (standard deviation, variance, maximum, minimum, range, inter-quartile range) and shape (5-Number box plot, skew). Inputs Original Quantitative Data Outputs Sorted Quantitative Data Descriptive Statistics (Central Tendency, Variation, Shape) Original Data Scattergram Frequency Dot Plot 5-Number Box Plot Limitations 1000 quantitative data

T An Example A college professor has the test results shown here. He is interested in the producing Summary Descriptive Statistics for Central Tendency Variation Shape. He is also interested in calculating the 93 rd percentile.

T Data can either be entered directly into the Original Data cells or copy/paste special/values into the cells.

T Cell A1 allows you to set the decimal point accuracy for the Descriptive Statistics Calculations.

T Once the data is entered Sample Descriptive Statistics are automatically calculated. Scrolling through the sheet will show all the calculations.

T Scrolling down to row 28 in the spread sheet you will find the Percentile Input Cell. For the 93 rd percentile, we enter.93 and the 93 rd percentile is calculated automatically.

T The Sort Macro can be run to sort the Original Data into the Sorted Data cells. This also automatically calculates the necessary information for the Dot Plot.

T Worksheet Tabs can be selected to view the Original Data Scattergram, Frequency Dot Plot & 5 Number Box Plot

T The Scattergram displays a plot of the observations in the sequence they were entered.

T The Dot Plot displays a frequency plot of the observations.

T The 5 Number Box Plot (Min, Q1, Median, Q3, Max) is shown here.