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Hypothesis Testing - Coggle Diagram
Hypothesis Testing
Processes
Types of Hypothesis
HA Alternative
"guilty of crime"
Larger than 30% rate (alternative)
H0 Null
"innocent of crime"
30% rate (null)
Risks
Type 1 Error
when a researcher incorrectly rejects a true null hypothesis
Type 2 Error
error that occurs when one fails to reject a null hypothesis that is actually false
Rejection Criteria
Unilateral Tail
Bilateral Tail
Populations and Samples
Finite
Small samples which can measure all individuals involved in a setting
Infinite
Population is larger which makes it extremally difficult to measure all individuals
Representative Sample
A small portion/part of a measured population
Estimates
Mean
Variance
Proportion
Parameters and Statistics
Mean and Standard Deviation
Characterize distribution of data
Random Sample, Normal Distribution, Independent Sample
Distribution
Quality Control
Binomial
Poisson
Deviation from sampling
T- Test
Chi-Square Test
Z-score