Day 1 of 2  

Importing and Organizing Data 
Objective: Bring data into MATLAB and organize it for analysis. Perform common tasks, such as merging data and dealing with missing data.

Exploring Data 
Objective: Perform basic statistical investigation of a data set, including visualization and calculation of summary statistics.

Distributions 
Objective: Investigate different probability distributions and fit distributions to a data set.

Hypothesis Tests 
Objective: Determine how likely an assertion about a data set is. Apply hypothesis tests for common uses, such as comparing two distributions and determining confidence intervals for a sample mean.

Day 2 of 2  

Analysis of Variance 
Objective: Compare the sample means of multiple groups and find statistically significant differences between groups.

Regression 
Objective: Perform predictive modeling by fitting linear and nonlinear models to a data set. Explore techniques for improving model quality.

Working with Multiple Dimensions 
Objective: Simplify highdimensional data sets by reducing the dimensionality.

Random Numbers and Simulation 
Objective: Use random numbers to evaluate the uncertainty or sensitivity of a model, or perform simulations. Generate random numbers from various distributions, and manage the MATLAB random number generation algorithms.
