RESEARCH METHODS & STATISTICS
INTRODUCTION
- 0 About these materials
- 1 Introduction & Overview
FOUNDATIONS
STATISTICAL INFERENCE
- 6 Estimation & hypothesis testing
SIMPLE COMPARISONS
STUDY DESIGN & CONDUCT
STATISTICAL MODELLING
- 14 Introduction to regression models
  - Models & statistical models
  - e-lecture: Introduction to statistical modelling
EVIDENCE SYNTHESIS
- 15 Systematic Reviews
- 16 Meta Analysis
GLOSSARY
CREDITS

Test Yourself

True or False

A type I error is a type of false negative error, that is the probability of accepting the null hypothesis is true when it is not.

True False

False

A type 1 error is the likelihood of rejecting the null hypothesis when it is true.

Which of the following statements is a true definition of the power of a statistical test?

The probability of detecting a real difference at a chosen level of significance.

The probability of accepting an untrue null hypothesis at a chosen level of significance.

The probability of rejecting a true null hypothesis at a chosen level of significance.

The probability of failing to detect a real difference at a chosen level of significance.

Correct Option

Wrong

The greater the power of a study the more likely you will detect a true difference, if one exists.

True False

True

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