Week 9 - Hypothesis Tests

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14 Terms

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critical value

value that is the boundary for significance for the chosen α

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power =

P(Ha | Ha)

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p-value =

P(Data + | Ho)

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type I error

false positive

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type II error

false negative

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probability mass function

assigns probabilities to discrete variable

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χ² goodness of fit

determines how well a model explains data

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χ² test of association

shows if two variables are independent

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exact hypothesis

specific value of parameter

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inexact hypothesis

range of values for parameter

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type I error =

P(Ha | Ho)

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type 2 error =

P(Ho | Ha)

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effect size =

μa - μo

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a priori power analysis

uses chosen α, power, and effect size to determine sample size