using r for introductory statistics chad birger university of sioux falls

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  • 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
  • Slide 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
  • Slide 11
  • 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