Skip to content

bclark86/stats-fun

Repository files navigation

Applied Statistics

Per Wikipedia, statistics is a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. It is often using a sample of data to make inferences about a population.

The goal of these mini-projects is to apply various statistical concepts to real-world data to answer questions through experimentation.

Files and Directory Structure

  • data: All data is contained in the data folder or generated within the report.

  • The analysis including RMarkdown report and MD are provided above and linked below.

Analysis Questions

Question Description Statistical Test(s) Last Update
Do NHL playoff teams have higher combined special teams performance compared to non-playoff teams? Testing to see if there is a statistically significant difference in the mean combined special teams percentage for playoff-bound teams compared to non-playoff teams in 2018. Simulated permutation test using R infer package 2019-03-15
Does Brett Maher have a Hash Marks Problem? Testing to see if there is a statistically significant relationship between the hash mark of the attempt and the chances of a make for Brett Maher in 2018. Simulated chi-square test using base R and the R infer package 2019-08-14
Is player WAR predictive of actual NHL team wins? Evaluating the predictive strength of aggregated player and goalie WAR on actual team wins Regression modeling within a tidyverse framework 2019-09-21
Would you believe me if I told you that Cowboys kicker Brett Maher is the greatest long-distance kicker in NFL history? Assessing the probability that Brett Maher is the best ever beyond 60 yards Empirical Bayes estimation using ebbr package 2019-11-08

About

Collection of applied statistics mini-projects

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published