Book contents
- Statistics for Laboratory Scientists and Clinicians
- Statistics for Laboratory Scientists and Clinicians
- Copyright page
- Contents
- Preface
- Acknowledgments
- I Basic Statistical Concepts
- II The Right Statistical Test for Different Types of Data
- 4 Analyzing Continuous Data
- 5 Analyzing Non-normally Distributed, Continuous Data: Non-parametric Tests
- 6 Analyses for Non-continuous Data
- 7 Analyzing a Combination of Data Types When the Outcome is Binary
- III Applied Statistics
- Glossary
- Figure Credits
- Index
4 - Analyzing Continuous Data
from II - The Right Statistical Test for Different Types of Data
Published online by Cambridge University Press: 17 June 2021
Book contents
- Statistics for Laboratory Scientists and Clinicians
- Statistics for Laboratory Scientists and Clinicians
- Copyright page
- Contents
- Preface
- Acknowledgments
- I Basic Statistical Concepts
- II The Right Statistical Test for Different Types of Data
- 4 Analyzing Continuous Data
- 5 Analyzing Non-normally Distributed, Continuous Data: Non-parametric Tests
- 6 Analyses for Non-continuous Data
- 7 Analyzing a Combination of Data Types When the Outcome is Binary
- III Applied Statistics
- Glossary
- Figure Credits
- Index
Summary
This chapter focuses on guidance in selecting the appropriate statistical test depending on what type of data is being analyzed. Remember, data can be continuous, binary, ordinal, nominal, normally distributed, non-normally distributed, log-distributed, and so on (Chapter 2). Decisions must be based on a full understanding of the kind of data you have and your analytic objective. Conduct your preliminary analyses! Plot your data! Look at your data! Do you have outliers, skewness, errors?
- Type
- Chapter
- Information
- Statistics for Laboratory Scientists and CliniciansA Practical Guide, pp. 61 - 78Publisher: Cambridge University PressPrint publication year: 2021