1. Using R for Introductory Statistics CHAD BIRGER UNIVERSITY OF SIOUX FALLS

2. Statistics at USF Courses Taught: MAT233: Introduction to Statistics MAT302: Probability and Statistics

3. Introduction to Statistics Three Main Units: 1.Data and Descriptive Statistics 2.Probability 3.Basic Inferential Statistics

4. Data Methods of Data Entry: 1.Using a list to enter data: 2.Using the scan() function: 3.Reading in from a database table

5. Graphing Data Categorical Data: ◦Table ◦Bar-plot ◦Pie Chart Numerical Data: ◦Stem-plot ◦Histogram ◦Box-Plot

6. Measures of Center Mean Median Mode Midrange

7. Measures of Variation and Position Sample Variance Sample Standard Deviation Quartiles and Quantiles ◦Five-number summary ◦Percentiles ◦Inner Quartile Range Z-scores

8. Paired Categorical Data Child ParentBuckledUnbuckled Buckled568 Unbuckled216

9. Paired Numerical Data Scatter-plot of paired data Correlation Coefficient Linear Regression Line

10. Probabilities R has functions built in for most “families” ◦“d”: Returns the p.d.f. of the distribution ◦“p”: Returns the c.d.f. of the distribution ◦“q”: Returns the quantiles ◦“r”: Returns random samples from a distribution

11. And Much more Simulation Confidence Intervals Significance Tests Goodness of Fit Linear Regression Analysis of Variance …

12. Using R Advantages of using R for an Introductory Statistics Course: ◦Free ◦Programmable ◦Many references available (for FREE) Disadvantages: ◦Lack of Student Computing Background ◦Not Point-and-Click ◦Using for in-class exams