Statistics 110: Correlation

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Description

Why would you want to take a course on statistics? There are a number of reasons. You might want to understand research, you might want to conduct your own research, or you might want to impress your friends with stories of William Gosett and the ground breaking work he did for Guinness.

This is the tenth class in a series of 13 classes covering the basics of statistics. You can take as many or as few as you would like. The only prerequisite is the ability to do basic arithmetic and algebra.

All work will be done by hand. I strongly believe in learning by doing and if you can do this by hand you will have no problem generalizing that knowledge to whatever statistics package you choose to us…

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Didn't find what you were looking for? See also: Algebra, Statistics, Product Design, Visualization, and Mathematics.

Why would you want to take a course on statistics? There are a number of reasons. You might want to understand research, you might want to conduct your own research, or you might want to impress your friends with stories of William Gosett and the ground breaking work he did for Guinness.

This is the tenth class in a series of 13 classes covering the basics of statistics. You can take as many or as few as you would like. The only prerequisite is the ability to do basic arithmetic and algebra.

All work will be done by hand. I strongly believe in learning by doing and if you can do this by hand you will have no problem generalizing that knowledge to whatever statistics package you choose to use when working with larger datasets. Please come with a calculator (you don’t need anything fancy, just a basic one will do.)

The 13 class topics are as follows:

1. Intro to stats2. Describing data
3. Z-scores
4. Distribution of sample means
5. Hypothesis testing
6. One sample t-test and related samples t-test
7. Independent samples t-test and intro to one-factor ANOVA
8. One-factor ANOVA and intro to two-factor ANOVA
9. Two-factor ANOVA
10. Correlation
11. Regression 1
12. Regression 2
13. Chi-square (and hints at other non-parametric tests)

In this class we will cover correlation:

• Cross products
• The SSCP matrix
• The Variance-Covariance matrix
• The Pearson correlation

Beginner Level

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There are no frequently asked questions yet. Send an Email to info@springest.com