Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!
Overview
Syllabus
- Introduction and Lesson 7 Review
- Estimation
- Problem Set 8
- Hypothesis Testing
- Problem Set 9
- t-Tests, Part 1
- Problem Set 10a
- t-Tests, Part 2
- Problem Set 10b
- t-Tests, Part 3
- Problem Set 11
- One-Way ANOVA
- Problem Set 12
- ANOVA, Continued
- Problem Set 13
- Correlation
- Problem Set 14
- Regression
- Problem Set 15
- χ^2 Tests
- Problem Set 16
- Final Project
- Google Spreadsheet Tutorial
Taught by
Katie Kormanik, Ronald Rogers and Sean Laraway
Tags
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Reviews
4.5 rating, based on 8 Class Central reviews
5 rating at Udacity based on 1 rating
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Pushkar Dk10A very good second course on elementary statistics. It requires us to finish 'descriptive statistics' before starting it and is a much lengthier course. However, the teaching style is very nice with emphasis on "why?" rather than simply calculating variables without understanding the concepts. The lecturers go to great lengths to help us visualize the data as well (I've come to believe that any course from Katie Kormanik must be easy to understand)! -
This is an excellent course for intermediate statistics. This course builds upon the Descriptive statistics course. The method of teaching focuses on understanding and applying various concepts rather than just plugging values in formulas.
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Sonsoles López1Great course for getting started on Inferential Statistics. Very didactic. The teacher is great and all the concepts are very well explained -
Peter Thwaites1 -
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Drishti Bansal2 -
Donghyun Kang13
