Summaries per chapter with the 8th edition of Statistical Methods for Psychology by Howell

Summaries per chapter with Statistical Methods for Psychology

Summaries per chapter with Statistical Methods for Psychology

  • For summaries with all chapters of the 8th edition of Statistical Methods for Psychology by Howell, see the supporting content of this page

Table of contents

  • Chapter 1 - What are important concepts of research?
  • Chapter 2 - How can data be described and explored?
  • Chapter 3 - Why and how is the normal distribution used?
  • Chapter 4 - How can you test hypotheses?
  • Chapter 5 - What are the important basic concepts of probability?
  • Chapter 6 - When and how to use the Chi-square test?
  • Chapter 7 - How to test hypotheses about means?
  • Chapter 8 -What is the power of a statistical test?
  • Chapter 9 - How to calculate the relationship between variables?
  • Chapter 10 - Which other correlation techniques can be used?
  • Chapter 11 - How to apply the analysis of variance?
  • Chapter 12 - How to compare means for different treatment groups?
  • Chapter 13 - How to use the ANOVA for two or more independent variables?
  • Chapter 14 - How to apply the analysis of variance for repeated-measures designs?
  • Chapter 15 - What is the procedure for multiple regression?
  • Chapter 16 - How can the analysis of (co)variance be viewed as a special case of multiple regression?
  • Chapter 17 - When and how to use log-linear models?
  • Chapter 18 - Which techniques are used for resampling and nonparametric approaches to data?

Related summaries and study assistance

Supporting content I (full)
What are important concepts of research? - Chapter 1
How can data be described and explored? - Chapter 2
Why and how is the normal distribution used? - Chapter 3
How can you test hypotheses? - Chapter 4
What are the important basic concepts of probability? - Chapter 5
When and how to use the Chi-square test? - Chapter 6
How to test hypotheses about means? - Chapter 7
What is the power of a statistical test? - Chapter 8
How to calculate the relationship between variables? - Chapter 9
Which other correlation techniques can be used? - Chapter 10
How to apply the analysis of variance? - Chapter 11
How to compare means for different treatment groups? - Chapter 12
How to use the ANOVA for two or more independent variables? - Chapter 13
How to apply the analysis of variance for repeated-measures designs? - Chapter 14
What is the procedure for multiple regression? - Chapter 15
How can the analysis of (co)variance be viewed as a special case of multiple regression? - Chapter 16
When and how to use log-linear models? - Chapter 17
Which techniques are used for resampling and nonparametric approaches to data? - Chapter 18
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