This lesson explores the process for modeling real world scenarios involving growth by writing and solving exponential growth functions.

Test the single mean hypothesis in this exercise.

Learn about a statistical test that is used to compare the means of two groups, the T Test.

Explore the idea of a confidence interval where it is easier to predict that an unknown value will lie somewhere within a wide range, than to predict it will occur within a narrow range.

See how Z-scores are related to the Empirical Rule from the standpoint of being a method of evaluating how extreme a particular value is in a given set.

This section explores normal distribution curves that have a unique, bell-like shape and represent data that is "normally" distributed. It also addresses how many real-life situations can be modeled by normal distribution curves.

This lesson applies the principals of hypothesis testing to situations involving two samples. It identifies situations with different types of samples, and explores how to test hypotheses about the difference of proportions or means...

This textbook tutorial revisits exponential functions.