Intro to Inferential Statistics

Offered By: San Jose State University via Udacity

Course Description

Overview

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.

Syllabus

Estimation

Estimate population parameters from sample statistics using confidence intervals.,Estimate the effect of a treatment.

Hypothesis Testing

How to determine if a treatment has changed the value of a population parameter.

t-tests

How to test the effect of a treatment.,Compare the difference in means for two groups when there are small sample sizes.

ANOVA

Learn how to test whether or not there are differences between three or more groups.

Correlation

Learn how to describe and test the strength of a relationship between two variables.

Regression

How changes in one variable are related to changes in a second variable.

Chi-squared Tests

Learn how to compare and test frequencies for categorical data.

Taught by

Katie Kormanik, Ronald Rogers and Sean Laraway