Ronald Fisher is well known for suggesting that data with p-values of 5% or less should be considered statistically significant. This is now known as the 5% Alpha and is widely used as a cutoff separating statistically significant data from statistically insignificant data. These percentages are probabilities. Explain what the equation α=5%α=5% means using the idea of relative-frequencies.
Ronald Fisher is well known for suggesting that data with p-values of 5% or less should be considered statistically significant. This is now known as the 5% Alpha and is widely used as a cutoff separating statistically significant data from statistically insignificant data. These percentages are probabilities. Explain what the equation α=5%α=5% means using the idea of relative-frequencies.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Ronald Fisher is well known for suggesting that data with p-values of 5% or less should be considered statistically significant. This is now known as the 5% Alpha and is widely used as a cutoff separating statistically significant data from statistically insignificant data. These percentages are probabilities. Explain what the equation α=5%α=5% means using the idea of relative-frequencies.
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