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Discrete Random Variable
Any variables that can be countable.
Continuous Random Variables
It's any value that could be within an interval as it could only be measured and not counted
Null Hypothesis
A statement that assumes there is no effect, relationship, or difference between variables.
What is a Type I Error?
You reject H0 when it’s actually true. Hence, it’s a false positive.
What’s a Type II Error?
When you fail to reject H₀ when it’s actually false. Something real is going on, but your test misses it, so it’s a false negative. Its probability is β.
Ordinary Least Squares Regression
Example of Type I Error
Example of Type II Error