MATH 140
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Slides
Activities and Labs
Data
RStudio
Installation and Orientation
Data and Descriptive Statistics
Data Visualization with ggplot
Data Manipulation with dplyr
Linear Regression
Other Resources
Inference
Activities and Labs
Activities
See Blackboard for Assignment Dates
descriptive statistics in R (pdf)
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code and data
governors (pdf)
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Code
berkeley (pdf)
random phones (pdf)
probability models (pdf)
normal distributions & z-scores (pdf)
normal distributions part II (pdf)
parameters (pdf)
sampling distributions (pdf)
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Code
ESP (pdf)
CLT - proportions (pdf)
CLT - means (pdf)
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solutions
Hitchman rectangles
Confidence Intervals - proportions (pdf)
Where is the flat tire? (pdf)
Inference on a population mean (pdf)
Matched Pairs (pdf)
Inference on two population means (pdf)
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solutions
Using t.test() in R
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Code Help
Inference practice (with solutions)
Chi-square test of independence (pdf)
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Code
Regression I (pdf)
Regression II (pdf)
Comparing 2 proportions (pdf)
Chi-square goodness of Fit (pdf)
ANOVA (pdf)
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Code
Labs
Lab 1: Exploring, Summarizing, and Visualizing Data
Lab 2: Linear Regression