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Dilfraz Singh, Lovely Professional University Unit 12: Hypothesis Testing
Unit 12: Hypothesis Testing Notes
CONTENTS
Objectives
Introduction
12.1 Meaning of Hypothesis
12.2 Statistical Testing Procedure
12.2.1 Formulate the Hypothesis
12.2.2 Statistical Significance Level
12.2.3 One-tailed and Two-tailed Tests
12.2.4 Degree of Freedom
12.2.5 Select Test Criteria
12.2.6 Compute
12.2.7 Make Decisions
12.3 Errors in Hypothesis Testing
12.4 Types of Tests
12.4.1 Parametric Test
12.4.2 Non-parametric Test
12.5 P-values
12.6 Summary
12.7 Keywords
12.8 Review Questions
12.9 Further Readings
Objectives
After studying this unit, you will be able to:
Identify the steps involved in hypothesis testing;
Explain the statistical testing procedure;
Discuss the errors in hypothesis testing;
Explain the types of tests.
Introduction
A statistical hypothesis test is a method of making statistical decisions using experimental data.
In statistics, a result is called statistically significant if it is unlikely to have occurred by chance.
The phrase “test of significance” was coined by Ronald Fisher: “Critical tests of this kind may be
called tests of significance, and when such tests are available we may discover whether a second
sample is or is not significantly different from the first.”
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