Learn about the advanced statistical capabilities of Fathom, including performing hypothesis testing, analyzing confidence intervals, and modeling regression.
Click the thumbnails to watch the videos and learn more.
Test Mean from Summary Data
Starting from summary data, use a t-test to determine whether the difference between a sample mean and hypothesized mean is significant.
Testing for Independence
Learn how to input summary data into a test for independence to determine if two categorical attributes are independent of each other.
Collecting P-Values
This movie shows how to collect results from a hypothesis test and build up a distribution of P-values.
Comparing Means of Two Groups
Use a Compare Means hypothesis test to determine if the difference of the means of two groups is statistically significant. Observe that the test will update as a data value is changed.
Estimating Proportions
This movie shows you how to estimate population proportions from sample proportions. Learn how to do this with either summary or raw data from the sample.
Estimating Parameters with Sliders
This movie shows you how to estimate population parameters and vary sample sizes. Learn how to connect sliders to an interval estimate.
Modeling Simple Linear Regression
Using simulated data with two predictors, an error and a response attribute, learn how to model simple linear regression. Observe how the model responds to a change in the predictor value.
Modeling Multiple Linear Regression
Using an existing simple linear regression, learn how to build a model that accounts for two predictors.
