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Chapter 21: Hypothesis Testing - Coggle Diagram
Chapter 21: Hypothesis Testing
Hypothesis Text Basics
Types of Hypothesis Tests
Data Model Fit:
Comparing a Statistic to a Hypothesis
Detecting Change in Data
Role in Inferential Statistics
Helps draw conclusions about a population
Uses sample data for decision-making
Purpose
Have the right sample size
Set up the correct type of test
Ensure measurement systems are good
Selecting the Right Hypothesis Test
Number of Levels of Interest
1 Level
2 Level
More than 2 levels
Distribution of Data
Normal
Non-Normal
Type of Data
Continuous (Variable)
Discrete (Attribute)
What is being tested
Medians
Variance
Means
Count
Proportions
Running Hypothesis Tests
Set Confidence Level
Typically 95% (α = 0.05), but can be 99% or 99.9%.
Choose the Test
Based on data type, statistic, and number of datasets.
State Hypotheses
Null (no change) vs. Alternative (change present).
Run & Interpret
Use Minitab, compare p-value to α, and translate results.
Why Run Hypothesis Tests
Raw Data Misleads
Appearance isn’t proof; testing ensures accuracy.
Actionable Insights
Only significant changes justify action.
Validate Differences
Numbers alone don’t confirm significance.
Context Matters
Small or large differences may or may not be significant.