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mpfoley73

Michael Foley

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Proportion CI and Test
Notes and examples for calculating a proportion confidence interval or performing a proportion hypothesis test.
Difference in Proportions Confidence Interval
Notes and examples of difference in proportions confidence interval.
Difference in Proportions Test
Notes and examples of difference in proportions test in R.
Mean Test
Notes and examples using the mean test in R.
One-Way ANOVA
Notes and examples for conducting a one-way ANOVA test in R.
Mean Confidence Interval
Notes and examples for constructing a mean confidence interval in R.
Difference in Proportions Test
Notes and examples for conducting a difference in proportions test in R.
Chi-Square Test for Independence
Example of chi-square test for independence in R.
Chi-Square Test for Homogeneity
Example of chi-square test for homogeneity in R.
Two Variance F-Test
Examples of two-variance F-test in R.
Two Proportion Test
Example of two proportion test in R.
Simple Linear Regression
Examples using simple linear regression.
Single Mean Test
Singe mean comparison test.
F Distribution in R
Examples using the F distribution in R.
Chi-Square Distribution in R
Examples using the chi-square distribution in R.
Single Variance Chi-Square Test
Use the chi-square distribution to compare sample variance to hypothesized parameter or to define a confidence interval.
Normal Distribution
Examples using the Normal distribution in R.
Gamma Distribution in R
Examples using the Gamma distribution in R.
Exponential Distribution in R
Examples using the Exponential distribution in R.
Negative Binomial Distribution in R
Examples using the Negative Binomial distribution in R.
Geometric Distribution in R
Examples using the Geometric distribution in R.
Hypergeometric Distribution in R
Examples using the Hypergeometric distribution in R.
Binomial Distribution in R
Examples using the Binomial distribution in R.
R Cookbook
Catch-all for R concepts
Poisson Distribution in R
Examples of using the Poisson distribution with R.
Foundations of Inference
Notes from DataCamp course Foundations of Inference
Statistics with R Capstone - week 4
Peer-graded Assignment: EDA and Basic Model Selection
psu_8_cat_pred: Categorical Predictors
R code exercises following material in Penn State online class STAT 501 Regression Methods
psu_6_mlr_eval: MLR Model Evaluation
R code exercises following material in Penn State online class STAT 501 Regression Methods
psu_7_mlr_est: MLR Estimation, Prediction & Model Assumptions
R code exercises following material in Penn State online class STAT 501 Regression Methods
psu_5_mlr: Multiple Linear Regression
R code exercises following material in Penn State online class STAT 501 Regression Methods
psu_4_slr: SLR Model Assumptions
R code exercises following material in Penn State online class STAT 501 Regression Methods
psu_3_slr: SLR Estimation and Prediction
R code exercises following material in Penn State online class STAT 501 Regression Methods
psu_2_slr: SLR Model Evaluation
R code exercises following material in Penn State online class STAT 501 Regression Methods
psu_1_slr: Simple Linear Regression
R code exercises following material in Penn State online class STAT 501 Regression Methods
SR_5_2 EDA
Lab 5
SR_4_4 Bayesian Regression
Bayesian model averaging, interpreting Bayesian multiple linear regression and its relationship to the frequentist linear regression approach.
SR_1_1 Data
Loading and examining data in R.
SR_4_3 Bayesian Decision Making
Bayesian decision making, hypothesis testing, and Bayesian testing using Bayes Factors.
Coursera Inferential Statistics - Project
Coursera Inferential Statistics final project
Multiple Linear Regression
Coursera Linear Regression Model, Week 3 Lab.
Linear Regression
Statistics with R, Course 3: Linear Regression and Modeling, Week 1-2 lab
Inference for Proportions
Coursera "Statistics with R", Course 2 "Inferential Statistics", Week 4 Lab "Inference for Proportions"
Confidence Intervals
Coursera "Inferential Statistics" week 2 lab.