Baylor-APU SCORE Module Pre-print Repository

This page contains education materials for the SCORE Network that were created by faculty and students from the Department of Statistical Science at Baylor University and the Department of Mathematics, Physics, & Statistics at Azusa Pacific University.

The SCORE Network Module Repository enables you to search for modules by either sport (along the left), or you can browse by statistics and data science topic.

Please note that these material have not yet completed the required pedagogical and industry peer reviews to become a published module on the SCORE Network. However, instructors are still welcome to use these materials if they are so inclined.

The development of the SCORE with Data network is funded by the National Science Foundation (award 2142705).

Contributing and/or Joining the SCORE Network

MLB Injuries - Introductory Time Series Analysis

Time series plots
Time series decomposition
Residual analysis
Simple forecasting

PGA - Scheffler Greens in Regulation (No R)

Sample Proportions
Single Proportion Confidence Intervals
Comparing Two Proportions

A Look at Paul George’s Missed Free Throws

Law of Large Numbers
Unconditional Probability
Conditional Probability

PGA - Scheffler Greens in Regulation

Confidence Intervals
Single Proportion Hypothesis Testing
Comparing Two Proportions

MMA Fight Decisions

Variable types
Chi-square test (2x2)
Fisher Exact test
Chi-square test (rxc)
Mosaic plots

Tennis Sample Size

Sample size
Power
Independent two sample t-test
Independent two sample test of proportions
Hypotheses testing
Types of errors

Volleyball - Women’s NCAA Division I

Variable types
ggplot basics
Exploratory Data Analysis (EDA)
Histograms
Bar plots (simple & stacked)
Scatterplots
Ridge plots
Boxplots
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