This video introduces classification models (as opposed to cluster analysis), the types of classification models, and when it is appropriate to use which model.
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Regression
Hypothesis Testing: Correlation
Hypothesis Testing: Paired T Test
Hypothesis Testing: One Sample T-Test
Steps of a Hypothesis Test
Intro to Hypothesis Testing
Confidence Intervals for the Mean
Point Estimates
Application of Central Limit Theorem to Means
Creating a Sampling Distributions
Intro to Sampling Distribution
Inverse Normal Distribution
Normal Distribution
Uniform Distribution
Identify Types of Discrete Distributions
Expected Value, Variance, and Standard Deviation for a Binomial Distribution
Expected Value and Variance for a Probability Mass Function
Random Variables
Types of Experimental Design
Designing Experimental Research
Case Control Studies in Observational Research
Observational Studies v Experiments
Obtaining a Sample
Using Pivot Tables in Excel to Create Pie Charts, Bar Graphs, and Relative Frequency Tables