What statistical analysis should I use? (Distribution tests)

Comparing models to fit data (Khan Academy)

Regression diagnostics: testing the assumptions of linear regression

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# Category: Statistics

## What statistical distribution analysis should I use?

## Dell Statistics Textbook

## Comparing Multiple Datasets

## Common Statistics Concepts Illustrated Using R

## Cross-sectional vs Time Series Data

## Review of Multiple Regression Prep

## Correlation (Pearson, Kendall, Spearman)

## Hypothesis Testing

## Linear Least Squares Regression

## Engineering and Statistics Handbook

In Regression w/ Dummy Variables by Melissa A Hardy she reviews Multiple Regression and recommends the reader have a grasp on single-equation regression, partialing and hypothesis testing.

Single-equation Regression

– Linear Regression

Hypothesis Testing

– Hypothesis Testing

Partialing

– I think she’s referring to partial differentiation

Primers from Stattrek.com

– Hypothesis Tests Intro

– Hypothesis Tests Effect Size and Factors

– Hypothesis Tests Procedure

KhanAcademy Inferential Statistics

– Hypothesis Testing w/ one sample

— Normal distribution

— Z-scores

— Empirical rule

— Sampling distribution of sample mean

– Hypothesis Testing w/ two samples

Jason Delaney Playlists

– Hypothesis testing – one population – mean or proportion

– Hypothesis testing – 2 populations – means or proportions

Inference for Variances (Jason Delaney)

Jason Delany: Simple Linear Regression YouTube Playlist

Khan Academy Least Squares Videos

– Least squares approximation

– Least squares examples

– Uses matrices and linear algebra

— Matrix equations

— Matrices for solving systems of eqns

– Linear Regression & Correlation

Dawn E. Wright, Ph.D. posted a list of regression related video links.

NIST and Sematech published an comprehensive free e-book on statistical modeling analysis and how to apply it to engineering and scientific work.

The Case Studies chapters in each of the sections are of special usefulness.