Type 1 and 2 errors

Type 1 Error: A type 1 error occurs when we incorrectly reject H₀. A p-value is the probability of making a type 1 error. α, or your significance level, is saying that you have a certain acceptable probability of making a type one error. Type 1 Error Example: H₀: There is no relationship between the amount... Continue Reading →


The Positives and Negatives of the Unit Circle

A Quick Review: The quadrants are labeled by 1,2,3, and 4 counterclockwise. Quadrant numbers/labels are typically written in Roman Numerals. A Few Things to Remember: In the first quadrant everything is positive. In the second quadrant cosine, secant, tangent, and cotangent are negative. Sine and cosecant are positive. In the third quadrant cosine, secant, sine,... Continue Reading →

H₀: The pessimist

So what even is H₀? H₀ is the null hypothesis. In statistics it is used during a hypothesis test. H₀ is the thing we are trying to reject or disprove. H₀ can be expressed in words, numbers, and/or symbols depending on the type of hypothesis test being carried out. H₀ is not the opposite of H₁... Continue Reading →


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