Statistical Inference exercise on "ToothGrowth" data: Welch tests of difference in means (unpaired, unequal variances), with Bonferroni correction and Benjamini-Hochberg adjustment.

Simulation exercise to show convergence of mean and variance of the sampling distribution of an exponential distribution (CLT).

This project concludes the "Reproducible Research" Course, part of the Data Science Specialization offered on Coursera by Johns Hopkins University.

This simple app constitutes the final project for the course "Developing Data Products", part of the Coursera "Data Science Specialization" (Johns Hopkins University). It's intended as a tool for Exploratory Data Analysis, applied to the R built-in "mtcars" dataset.

Assignment for the course "Developing Data Products", Week 3, part of the Data Science Specialization (Johns Hopkins University, Coursera)

Part of the Data Science specialization

Peer-graded assignment for Course 7 ("Regression Models"), part of the Data Science specialization (Coursera - John Hopkins University).

This project is part of the "Statistical Inference" course (n° 6 of 10) of the "Data Science Specialization" offered through Coursera