{"id":338,"date":"2019-08-20T11:49:45","date_gmt":"2019-08-20T15:49:45","guid":{"rendered":"http:\/\/people.clas.ufl.edu\/winner\/?page_id=338"},"modified":"2026-04-02T13:51:04","modified_gmt":"2026-04-02T17:51:04","slug":"case-studies","status":"publish","type":"page","link":"https:\/\/people.clas.ufl.edu\/winner\/case-studies\/","title":{"rendered":"Case Studies"},"content":{"rendered":"\r\n
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Case Studies<\/h1>\n\n\n\n

Introductory Statistics<\/big><\/big><\/p>\n\n\n\n\n\n

Descriptive Stats – Movie Reviews, Business Profits, Rainfall<\/a><\/p>\n\n\n\n\n\n

Normal Distribution and Correlation – PGA\/LPGA Drive Distance and Accuracy – 2008 Seasons<\/a><\/p>\n\n\n\n\n\n

Normal Distribution and Diagnostic Tests – BMI for WNBA and NBA Players 2013-2014<\/a> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0EXCEL<\/a><\/p>\n\n\n\n\n\n

Common Families of Probability Distributions – Examples<\/a><\/p>\n\n\n\n\n\n

Regression Models<\/big><\/big><\/p>\n\n\n\n\n\n

Simple Linear Regression – NFL Point Spreads and Actual Scores<\/a><\/p>\n\n\n\n\n\n

Simple Linear Regression – Violations of Assumptions – Simulated Data<\/a><\/p>\n\n\n\n\n\n

Simple Linear Regression – Autocorrelated Errors – U.S. Wine Consumption and Population 1934-2002<\/a> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 EXCEL<\/a><\/p>\n\n\n\n\n\n

Linear Regression – NFL Point Predictions and Actual Scores – 2007<\/a><\/p>\n\n\n\n\n\n

Simple Linear Regression – Graphing and Testing Model Assumptions – NBA Players Weights and Heights<\/a> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0EXCEL<\/a><\/p>\n\n\n\n\n\n

Simple Linear Regression – F-Test for Lack-of-Fit<\/a>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 EXCEL Spreadsheet<\/a><\/p>\n\n\n\n\n\n

Simple Linear Regression – Stochastic Predictor – NBA Over\/Under and Total Points 2014\/5 Regular Season<\/a> \u00a0 \u00a0
\n<\/p>\n\n\n\n\n\n

Using EXCEL for Matrix Form of Multiple Regression Model – Hotel Energy Consumption \u00a0 PPT<\/a>\u00a0 \u00a0 \u00a0 EXCEL<\/a><\/p>\n\n\n\n\n\n

Weighted Least Squares – Cholesterol Drug Study with Unequal Subjects per Dose<\/a><\/p>\n\n\n\n\n\n

Multiple Linear Regression – Estimating Elasticities – U.S. Sugar Price and Demand 1896-1914
\n<\/a><\/p>\n\n\n\n\n\n

Linear Regression with Quantitative and Qualitative Predictors – Bullet-Proof Fabric Layers and 3 Bullet Types<\/a>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 EXCEL Spreadsheet<\/a>\u00a0<\/p>\n\n\n\n\n\n

Intrinsically Linear Regression – Cobb-Douglas Production Function<\/a><\/p>\n\n\n\n\n\n

Multiple Linear Regression – Cruise Ship Crew Size (Model Building and Cross-Validation)<\/a><\/p>\n\n\n\n\n\n

Multiple Linear Regression – Efficiency of Muscle Work\u00a0 (Diagnostics)<\/a><\/p>\n\n\n\n\n\n

Multiple Linear Regression – Texas January High Temperatures\u00a0 (Complete\/Reduced Models)<\/a><\/p>\n\n\n\n\n\n

Multiple Linear Regression – General Linear Tests\/Constrained Estimation – Cobb-Douglas Production Function<\/a><\/p>\n\n\n\n\n\n

Multiple Linear Regression – US Coal Mine Output for Large Mines 2012 (Transformations)<\/a>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/p>\n\n\n\n\n\n

Multiple Linear Regression – Standing Heights and Other Stature Attributes for Female Police Officer Candidates (Multicollinearity\/Principal Component Regression)<\/a><\/p>\n\n\n\n\n\n

Multiple Linear Regression – China Carbon Emmissions and Population Factors 1978-2008 (Multicollinearity\/Ridge Regression)<\/a><\/p>\n\n\n\n\n\n

Quantile Regression – LPGA Earnings and Performance Statistics 2009-2010<\/a><\/p>\n\n\n\n\n\n

Estimated Weighted Least Squares – Profits and Market Structure for High Advertising Firms<\/a><\/p>\n\n\n\n\n\n

Nonlinear Regression – Orlistat to Reduce Fat Absorption<\/a><\/p>\n\n\n\n\n\n

Poisson Regression – NASCAR Crash Data (1975-1979)<\/a><\/p>\n\n\n\n\n\n

Poisson Regression with Rates – Traffic Accidents in Finland on Friday the 13th versus Other Fridays by Gender (1971-1997)<\/a><\/p>\n\n\n\n\n\n

Logistic Regression with Grouped Data – Lobster Survival in Tether Experiment (PPT) <\/a>\u00a0 \u00a0 \u00a0<\/p>\n\n\n\n\n\n

Logistic Regression – Pre-Challenger Field-Joint O-Ring Failures and Temperature<\/a><\/p>\n\n\n\n\n\n

Negative Binomial Regression – NASCAR Lead Changes (1975-1979)<\/a><\/p>\n\n\n\n\n\n

Gamma Regression – Napa Valley Marathon Speeds by Age and Gender \u00a0(2015)<\/a><\/p>\n\n\n\n\n\n

Beta Regression – Proportion of Prize Money by Race for Ford – NASCAR Races (1992-2000)<\/a><\/p>\n\n\n\n\n\n

Multivariate Regression – Monthly British Butter Prices (1930-1936)<\/a><\/p>\n\n\n\n\n\n

Trigonometric Regression – Tampa Bay Monthly Hotel Revenues<\/a><\/p>\n\n\n\n\n\n

Systems of Regression Equations Firm Investment, Value, and Capital – 10 Firms (1935-1954)<\/a><\/p>\n\n\n\n\n\n

Response Surface Model – Top Qualifying Speed by Track Dimensions @ NASCAR Tracks<\/a><\/p>\n\n\n\n\n\n

Instrumental Variables in Systems of Linear Equations — 2-Stage Least Squares Relating Golf Skills to Prize Money for 2009 LPGA Tourney<\/a><\/p>\n\n\n\n\n\n

Meta-Analysis and Meta-Regression – Airport Noise Effects on Property Values
\n<\/a><\/p>\n\n\n\n\n\n

Categorical Data Analysis<\/big><\/big><\/p>\n\n\n\n\n\n

Chi-Squared Test and 1-Way ANOVA – Comparing 4 Diet Plans<\/a><\/p>\n\n\n\n\n\n

Loglinear Models – Donner Party Survival<\/a><\/p>\n\n\n\n\n\n

Relative Risks & Odds Ratios – John Snow’s Cholera Investigations<\/a><\/p>\n\n\n\n\n\n

ANOVA and Mixed Models<\/big><\/big><\/p>\n\n\n\n\n\n

Comparing 2 Means – Unequal Variances – Art Course Effects on Reading Development<\/a><\/p>\n\n\n\n\n\n

1-Way ANOVA – Innoculating Amoebae<\/a><\/p>\n\n\n\n\n\n

1-Way ANOVA with Numeric Factor – Dose Response <\/a><\/p>\n\n\n\n\n\n

1-Way ANOVA Matrix Approach with Various Constraints – Sexual Side Effects of 4 Antidepressants<\/a><\/p>\n\n\n\n\n\n

1-Way ANOVA – Weighted Least Squares – Body Mass Indices among NHL, NBA, and EPL Athletes<\/a><\/p>\n\n\n\n\n\n

1-Way ANOVA and Multiple Comparison Methods – Comfort Ratings for 13 Fabric Types<\/a><\/p>\n\n\n\n\n\n

1-Way Random Effects Model – NBA Player Game Efficencies 2016\/7 Regular Season<\/a> \u00a0 \u00a0 \u00a0 \u00a0R Program<\/a><\/p>\n\n\n\n\n\n

Randomized Block Design – Caffeine and Endurance <\/a><\/p>\n\n\n\n\n\n

Latin Square Design – Tea Variety and Price Valuation<\/a><\/p>\n\n\n\n\n\n

Balanced Incomplete Block Design – Car Price Quotes to 8 Interviewers by 28 Dealers<\/a><\/p>\n\n\n\n\n\n

2-Way ANOVA – Thalidomide and TB Status in Weight Gain in HIV-1 Patients<\/a><\/p>\n\n\n\n\n\n

2-Way ANOVA – One degree of Freedom for Non-additivity – Business Indices by 8 Sources over 18 years<\/a><\/p>\n\n\n\n\n\n

2-Way ANOVA – Lacrosse Helmets Analysis <\/a><\/p>\n\n\n\n\n\n

2-Way ANOVA – Beauty and Judgment – Halo Effect<\/a><\/p>\n\n\n\n\n\n

2-Way Random Effects ANOVA – Repeatability and Reproducibility of Drill Hole Measurements
\n<\/a>
\n5-Way ANOVA – Potato Flavor Ratings<\/a><\/p>\n\n\n\n\n\n

Unbalanced 2-Way ANOVA – Ethics Scores for Coast Guard Members<\/a><\/p>\n\n\n\n\n\n

2-Way Mixed ANOVA – Women’s PBA Bowling Scores – 2009<\/a><\/p>\n\n\n\n\n\n

Mixed Effects Model Fitting – Wine Ratings of 20 Varieties by 10 Raters<\/a><\/p>\n\n\n\n\n\n

2^n Factorial Design – Chemical Oxygen Demand Removal from Distillery Spent Water <\/a><\/p>\n\n\n\n\n\n

Fractional Factorial Design – Controlling Shrinkage in Wool Fabrics, 7 Treatments in 8 Runs<\/a><\/p>\n\n\n\n\n\n

Nested 2-Factor ANOVA – Water Levels in Florida Swamps<\/a><\/p>\n\n\n\n\n\n

Nested 2-Factor ANOVA – Comparison of 2 Shampoo Formulations on Combability<\/a><\/p>\n\n\n\n\n\n

Repeated Measures ANOVA – Rogaine for Women’s Hair Growth<\/a><\/p>\n\n\n\n\n\n

Repeated Measures ANOVA with No Between and 2 Within Factors (Multivariate Analysis) – Task Completion Times for Navigation Techniques and Input Methods<\/a> \u00a0 \u00a0 \u00a0 \u00a0 EXCEL Spreadsheet<\/a><\/p>\n\n\n\n\n\n

Split-Plot ANOVA – LPGA Golf Scores<\/a><\/p>\n\n\n\n\n\n

Split-Plot ANOVA -Wool Shrinkage by Treatment and Dry Cycle Revolutions<\/a><\/p>\n\n\n\n\n\n

Multivariate ANOVA – Potato Ratings by Cooking Type<\/a><\/p>\n\n\n\n\n\n

Crossed \/ Nested ANOVA – Moistness of Tree Branch Cuts<\/a><\/p>\n\n\n\n\n\n

Hasse Diagrams for Crossed\/Nested ANOVA – Pro Bowling Scores 2006-2007 Season (Restricted Model)<\/a><\/p>\n\n\n\n\n\n

Hasse Diagrams for Crossed\/Nested ANOVA – Pro Bowling Scores 2006-2007 Season (Unrestricted Model)<\/a><\/p>\n\n\n\n\n\n

Analysis of Covariance – Comparison of Trout Head Lengths for 2 Lakes<\/a><\/p>\n\n\n\n\n\n

Crossover Design in Modified Latin Square – 4 Irrigation Methods for water Usage and Corn Yield <\/a><\/p>\n\n\n\n\n\n

Generalized Linear Mixed Model – English Premier League Goals – 2003<\/a><\/p>\n\n\n\n\n\n

Meta-Analysis – Ford\/Chevy Finishing Positions in NASCAR Races 1993-2000<\/a><\/p>\n\n\n\n\n\n

Survival Analysis<\/big><\/big><\/p>\n\n\n\n\n\n

Kaplan-Meier Estimation and Log-Rank Test for Ventilated and Control Flies<\/small><\/a><\/p>\n\n\n\n\n\n

Spatial Data Analysis<\/big><\/big><\/p>\n\n\n\n\n\n

Autocorrelation Analysis of Federal Land Values and Corn\/Crop Data for Iowa Counties – 1926<\/a><\/p>\n\n\n\n\n\n

Probability and Probability Distributions \/ Hypothesis Testing \/ Estimation<\/big><\/big><\/p>\n\n\n\n\n\n

Bayes’ Rule – OJ Simpson, Gettysburg, Craps <\/a><\/p>\n\n\n\n\n\n

Bivariate Probability Distributions – Television Sales (PPT)<\/a><\/p>\n\n\n\n\n\n

Normal Distribution – U.S. County Vote for Bush – 2004<\/a><\/p>\n\n\n\n\n\n

Binomial and Geometric Distributions – Delta Airlines On-Time Operations in Atlanta June 2003 – June 2015<\/a><\/p>\n\n\n\n\n\n

Bivariate Normal Distribution – Heredity and Heights (Francis Galton)<\/a><\/p>\n\n\n\n\n\n

Poisson Distribution – English Premier League Soccer Scores 2006\/7 Season
\n<\/a><\/p>\n\n\n\n\n\n

Estimating Parameters of the Gumbel Distribution for Extreme Values – Rhone River Discharge Data (1826-1936)<\/a><\/p>\n\n\n\n\n\n

Bayesian Updating of a Probability of Success – Yankees\/Red Sox 2004 <\/a><\/p>\n\n\n\n\n\n

Likelihood Ratio, Wald, and Lagrange Multiplier Tests – European Premier League Goals 2004 Season<\/a><\/p>\n\n\n\n\n\n

Permutation Tests – WNBA\/NBA Body Mass Indexes and English Premier League 2012 Home Field Advantage<\/a><\/p>\n\n\n\n\n\n

Estimating Parameters of the Gamma and Lognormal Distributions – Miles per Hour among Runners in Rock ‘n’ Roll Marathon 2015<\/a><\/p>\n\n\n\n\n\n

Hierarchical Bayesian Analysis of Proportions – Dwight Howard Free Throw Shooting (2013-2014)<\/a><\/p>\n\n\n\n\n\n

Multinomial Distribution – Soccer Game Outcomes for 5 European Premier Leagues<\/a><\/p>\n\n\n\n\n\n

Mixture of Normal Distributions – Body Mass Indices of NBA, WNBA, EPL, NHL Athletes<\/a><\/p>\n\n\n\n\n\n

Application of the Bootstrap – Film Average Shot Lengths<\/a><\/p>\n\n\n\n\n\n

Inference for a Proportion – Results of an ESP Experiment<\/a><\/p>\n\n\n\n\n\n

Multivariate Statistical Methods<\/big><\/big><\/p>\n\n\n\n\n\n

Univariate and Multivariate Control Charts\u00a0– \u00a0Betting Odds and Wilt Chamberlain 1961-2 Points\/Rebounds <\/a> <\/p>\n\n\n\n\n\n

Bivariate Paired t-test – WNBA Home Spread and Over\/Under Deviations 2010-2018 Regular Seasons<\/a> \u00a0 \u00a0 \u00a0 \u00a0 R Program<\/a><\/p>\n\n\n\n\n\n

Principal Components – LPGA Performance Variables<\/a><\/p>\n\n\n\n\n\n

Factor Analysis – Guide Dogs Training<\/a><\/p>\n\n\n\r\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t<\/div>\r\n<\/section>\r\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1073,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-338","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/people.clas.ufl.edu\/winner\/wp-json\/wp\/v2\/pages\/338","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.clas.ufl.edu\/winner\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/people.clas.ufl.edu\/winner\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/people.clas.ufl.edu\/winner\/wp-json\/wp\/v2\/users\/1073"}],"replies":[{"embeddable":true,"href":"https:\/\/people.clas.ufl.edu\/winner\/wp-json\/wp\/v2\/comments?post=338"}],"version-history":[{"count":9,"href":"https:\/\/people.clas.ufl.edu\/winner\/wp-json\/wp\/v2\/pages\/338\/revisions"}],"predecessor-version":[{"id":579,"href":"https:\/\/people.clas.ufl.edu\/winner\/wp-json\/wp\/v2\/pages\/338\/revisions\/579"}],"wp:attachment":[{"href":"https:\/\/people.clas.ufl.edu\/winner\/wp-json\/wp\/v2\/media?parent=338"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}