How can someone detect danger? Are left-handed people smarter than right-handed people? Is it possible to prove discrimination at work? Can you accurately predict behaviours that people lie about, such as the willingness to accept a bribe? To address these questions, we can employ statistical methods. The text Statistics for Psychology aims to furnish students with the fundamental concepts of statistics, encompassing normal distributions, t-tests, chi-square, correlation, regression, ANOVAs, post-hocs, and two-way ANOVAs with the interaction effects. Each of these tests is not only integrated into the five steps of hypothesis testing, utilizing examples from the field of psychology, and how to write up the result section in APA (American Psychology Association) style, but also offers step-by-step SPSS instructions for entering, coding and analyzing data effectively.
CHAPTER 1 DATA AND DISTRIBUTIONS
CHAPTER 2 DISTRIBUTIONS
CHAPTER 3 NORMAL CURVE
CHAPTER 4 POLLING/CONFIDENCE INTERVALS
CHAPTER 5 SINGLE SAMPLE t-TEST
CHAPTER 6 DEPENDENT t-TEST
CHAPTER 7 INDEPENDENT t-TEST
CHAPTER 8 CHI-SQUARE
CHAPTER 9 CORRELATION
CHAPTER 10 REGRESSION
CHAPTER 11 ONE-WAY ANOVA
CHAPTER 12 ANOVA POST HOCS
CHAPTER 13 TWO-WAY ANOVA MAIN EFFECTS
CHAPTER 14 TWO-WAY ANOVA INTERACTIONS
APPENDIX
INDEX