using r for introductory statistics
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Using R for Introductory Statistics. Chad Birger University of Sioux Falls. Statistics at USF. Courses Taught: MAT233: Introduction to Statistics MAT302: Probability and Statistics. Introduction to Statistics. Three Main Units: Data and Descriptive Statistics Probability - PowerPoint PPT PresentationTRANSCRIPT
Using R for Introductory StatisticsCHAD BIRGERUNIVERSITY OF SIOUX FALLS
Statistics at USF Courses Taught:
MAT233: Introduction to Statistics
MAT302: Probability and Statistics
Introduction to Statistics Three Main Units:
1. Data and Descriptive Statistics
2. Probability
3. Basic Inferential Statistics
Data Methods of Data Entry:
1. Using a list to enter data:
2. Using the scan() function:
3. Reading in from a database table
Graphing Data Categorical Data:
◦ Table◦ Bar-plot◦ Pie Chart
Numerical Data:◦ Stem-plot◦ Histogram◦ Box-Plot
Measures of Center Mean
Median
Mode
Midrange
Measures of Variation and Position
Sample Variance
Sample Standard Deviation
Quartiles and Quantiles◦ Five-number summary◦ Percentiles◦ Inner Quartile Range
Z-scores
Paired Categorical DataChild
Parent Buckled Unbuckled
Buckled 56 8
Unbuckled 2 16
Paired Numerical Data Scatter-plot of paired data
Correlation Coefficient
Linear Regression Line
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
And Much more Simulation
Confidence Intervals
Significance Tests
Goodness of Fit
Linear Regression
Analysis of Variance
…
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