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Chapter 9.1
Understanding Null and Alternative Hypotheses in Statistics
Dive into the world of statistical hypothesis testing. Learn to formulate, differentiate, and apply null and alternative hypotheses for robust data analysis and informed decision-making.
What You'll Learn
Define the null hypothesis as a statement of equality (equals sign)
Identify the alternative hypothesis using inequality signs (less than, greater than, not equal)
Distinguish between claims involving proportions and claims involving means
Extract mathematical statements from word claims about populations or measurements
Recognize that null and alternative hypotheses are complements of each other
What You'll Practice
1
Determining whether claims refer to proportions or means
2
Writing null and alternative hypotheses from word statements
3
Identifying hypothesis type from inequality symbols
4
Converting verbal claims into mathematical hypothesis statements
Why This Matters
Understanding null and alternative hypotheses is essential for all statistical testing you'll encounter in science, psychology, business, and research. This foundational skill lets you evaluate claims mathematically rather than relying on intuition alone.
Before You Start — Make Sure You Can:
This Unit Includes
14 Video lessons
Practice exercises
Learning resources
Skills
Hypothesis Testing
Null Hypothesis
Alternative Hypothesis
Proportions
Means
Statistical Claims
Inequality Notation
