Treat everyone with sincerity, they will certainly appear likeable and friendly.

Data Analysis with SAS Topic: Descriptive Statistics By Prof Kelly Fan, Cal State Univ, East Bay

Two Basic Strategies to Explore Data Begin by examining each variable by itself. Then move on to study the relationship among the variables. Begin with a graph or graphs. Then add numerical summaries of specific aspects of the data.

Descriptive Statistics Displaying data/variables with graphs for categorical (qualitative) variables: Bar plot and Pie chart for quantitative variables: Stemplot, Histogram, Boxplot and Scatterplot Describing data/variables with numbers for categorical (qualitative) variables: Relative Frequency (Sample Proportion) Frequency for quantitative variables: to measure center: Mean and Median to measure spread: Interquartile Range (IQR) and Standard Deviation outliers five-number summary (boxplot)

Descriptive Statistics for Two Variables 1 categorical + 1 quantitative variables Summary table; bar chart; (side-by-side) boxplot 2 categorical variables Contingency table; (side-by-side) bar chart 2 quantitative variables Correlation coefficient; scatterplot

Descriptive Statistics for Three Variables 1 categorical + 2 quantitative variables Regression; scatterplot 2 categorical + 1 quantitative variables Summary table; bar chart

Observed Data: Example 1 Gender Height (inches) Weight (pounds) College M 68.5 155 Sci F 61.2 99 Bsns 63.0 115 70.0 205 68.6 170 Arts 65.1 125 72.4 220 69.5 188

SAS Data Input SAS: One variable per column Example: HTWT.sas