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BarBell_Predictions
Coursera + Johns Hopkins University Lecture on Practical Machine Learning, Peer Assement Project
Weight Lifting Exercise Prediction Using Human Activity Recognition (HAR) Data
Coursera + JHU Bloomberg School Lectures on Machine Learning, Peer Assesment Project
PA_SI_ProjectPart2_TG
We’re going to analyze the ToothGrowth data in the R datasets package. Load the ToothGrowth data and perform some basic exploratory data analyses Provide a basic summary of the data. Use confidence intervals and/or hypothesis tests to compare tooth growth by supp and dose. (Only use the techniques from class, even if there’s other approaches worth considering) State your conclusions and the assumptions needed for your conclusions.
Based in Two-way ANOVA http://sites.stat.psu.edu/~jls/stat512/lectures/lec20.pdf
The Exponential Distribution & The Central Limit Theorem
Statistical Inference, Peer Assesment: Course Project.
The purpose of this project is to investigate the Exponential Distribution using R and compare it with the Central Limit Theorem. The Exponential Distribution can be simulated in R
Effects of Weather on People and Economy. USA, 1950 to 2011
Work done for the Coursera + Johns Hopkins University course "Reporducible Research", Peer Assement Project #2.
June 19th, 2015.