Course notes in Word files are designed to be printed as 4 pages per sheet of paper.

Section 1 - Introduction

• Notes/videos
  • Syllabus-1.pdf, syllabus_supplemental.pdf, video
  • Course structure-2.docx, video
  • Introduction-3.docx, video
  • R_intro-Basics-4.docx, video
  • R_intro-ProgramEditors-5.docx, video
  • R_intro-Example-6.docx, video
• Data: 
  • gpa.csv
  • gpa.txt
• R programs:
  • AppendixInitialExamples.R
  • gpa.R
• Remember to reproduce the examples in the notes 

Section 2 - Summarize data

• Notes/videos
  • NumericalSummary-1.docx, video
  • GraphicalSummary-2.docx, video
• Data
  • cereal.csv
  • div_yield.csv
  • Lincoln_Feb_wind.csv
• R programs
  • cereal.R
  • cholesterol.R
  • div_yield.R
  • simple_GPA.R
  • wind_speed.R
• Remember to reproduce the examples in the notes 

Section 3 - Probability

• Notes/videos 
  • IntroductionToProbability-1.docx, video
  • ProbabilityDistribution-DiscreteRV-2.docx, video
  • ProbabilityDistribution-ContinuousRV-3.docx, video
  • Integration-4.docx, video
  • ProbabilityDistribution-JointPDF-5.docx, video
• Data
  • ExampleSample.csv
• Excel
  • plinko.xlsx
• R programs
  • 50numbers.R
  • FieldGoal-Intro.R
  • gpa.R
  • GradesTwoCourses.R
  • Insurance.R
  • MPG-uniform.R
  • Transaction.R
• Sage code/output in Jupyter Notebook documents
  • insurance.ipynb
  • JointPDF.ipynb
  • PDF.ipynb
  • PDF.sagews (example Sage worksheet)
• Remember to reproduce the examples in the notes 

Section 4 - Expectation

• Notes/videos 
  • Expectation-1.docx, video
  • Variance-2.docx, video
  • Covariance-3.docx, video
  • LinearCombo-4.docx, video
  • Cheby-5.docx, video
• R programs
  •  plinko.R
  •  TransExpect.R
• Sage code/output in Jupyter Notebook documents
  • Cov.ipynb
  • TransExpect.ipynb
• Remember to reproduce the examples in the notes 

Section 5 - Specific probability distributions

• Notes/videos 
  • DiscreteUniform-1.docx, video
  • Binomial-2.docx, video
  • Poisson-3.docx, video
  • Uniform-4.docx, video
  • Normal-5.docx, video
  • Gamma-6.docx, video
• R programs
  • binomial_plots.R
  • die.R
  • FG.R
  • grade_bell.R
  • Poisson_plots.R
  • Stoplight.R
• Sage code/output in Jupyter Notebook documents
  • binomial.ipynb
  • die.ipynb
  • normal.ipynb
  • Poisson.ipynb
• Remember to reproduce the examples in the notes 

Section 6 - Sampling distributions

• Notes/videos 
  • Sample-1.docx, video
  • CentralLimitTheorem-2.docx, video (course notes named "Sampling distributions" in video)
  • ChiSquare-3.docx, video
• R programs
  • cereal_boxes.R
  • chi_square_dist.R
  • CLT_GPA.R
  • random_sample.R
• Remember to reproduce the examples in the notes 

Section 7 - Confidence intervals

• Notes/videos
  • ConfidenceIntervalsMean-1.docx, video
  • MoreOnCIs-2.docx, video
• Excel
  • t_stand_norm.xls
• R programs
  • Coverage_GPA.R
  • light_bulbs.R
  • t_prob_quant.R
  • wind_speed_CI.R
  • z_alpha_div_2.R
• Remember to reproduce the examples in the notes 

Section 8 - Hypothesis tests

• Notes/videos
  • HypothesisTestsTwoTails-1.docx, video
  • HypothesisTestsOneTail-2.docx, video
• Data
  • volleyball.csv
• Excel
  • hyp_1sample_pic.xlsx
• R programs
  • car_warranty.R
  • gpa_HypTest.R
  • tire_life.R
  • volleyball.R
• Remember to reproduce the examples in the notes 

Section 9 - More inference topics

• Notes/videos
  • IndMeans-1.docx, video
  • DepMeans-2.docx, video
  • OneProportion-3.docx, video
  • TwoProportions-4.docx, video
• R programs
  • Bird.R
  • cpt.R
  • div_yield_inference.R
  • HCV.R
• Remember to reproduce the examples in the notes 

Section 10 - Likelihood methods

• Notes/videos
  • MLE-1.docx, video
  • WorkingWithMLEs-2.docx, video
  • LRT-3.docx, video
• Worked out examples
  • WorkedOutExamples.docx, beta_sample.csv
  • Reproduce the examples in the notes
• R programs
  • beta.R
  • LikelihoodFunction.R
• Sage code/output in Jupyter Notebook documents
  • LikelihoodFunction.ipynb
• Remember to reproduce the examples in the notes