MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
What You Will Learn
Lesson 1
Estimation
- Estimate population parameters from sample statistics using confidence intervals.
- Estimate the effect of a treatment.
Lesson 2
Hypothesis Testing
- How to determine if a treatment has changed the value of a population parameter.
Lesson 3
t-tests
- How to test the effect of a treatment.
- Compare the difference in means for two groups when there are small sample sizes.
Lesson 4
ANOVA
- Learn how to test whether or not there are differences between three or more groups.
Lesson 5
Correlation
- Learn how to describe and test the strength of a relationship between two variables.
Lesson 6
Regression
- How changes in one variable are related to changes in a second variable.
Lesson 7
Chi-squared Tests
- Learn how to compare and test frequencies for categorical data.
Prerequisites and Requirements
This course assumes basic understanding of Descriptive Statistics, specifically the following:
- calculating the mean and standard deviation of a data set
- central limit theorem
- interpreting probability and probability distributions
- normal distributions and sampling distributions
- normalizing observations
If you need a refresher, check out our Descriptive Statistics course! The course also utilizes Google Spreadsheets as a tool.
Why Take This Course
This course will guide you through some of the basic tools of inferential statistics.
This course will cover:
- estimating parameters of a population using sample statistics
- hypothesis testing and confidence intervals
- t-tests and ANOVA
- correlation and regression
- chi-squared test
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.