using r for introductory statistics chad birger university of sioux falls
TRANSCRIPT
- Slide 1
- Using R for Introductory Statistics CHAD BIRGER UNIVERSITY OF SIOUX FALLS
- Slide 2
- Statistics at USF Courses Taught: MAT233: Introduction to Statistics MAT302: Probability and Statistics
- Slide 3
- Introduction to Statistics Three Main Units: 1.Data and Descriptive Statistics 2.Probability 3.Basic Inferential Statistics
- Slide 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
- Slide 5
- Graphing Data Categorical Data: Table Bar-plot Pie Chart Numerical Data: Stem-plot Histogram Box-Plot
- Slide 6
- Measures of Center Mean Median Mode Midrange
- Slide 7
- Measures of Variation and Position Sample Variance Sample Standard Deviation Quartiles and Quantiles Five-number summary Percentiles Inner Quartile Range Z-scores
- Slide 8
- Paired Categorical Data Child ParentBuckledUnbuckled Buckled568 Unbuckled216
- Slide 9
- Paired Numerical Data Scatter-plot of paired data Correlation Coefficient Linear Regression Line
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- 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
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- And Much more Simulation Confidence Intervals Significance Tests Goodness of Fit Linear Regression Analysis of Variance
- Slide 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