Fundamental Statistics for the Behavioral Sciences
David Howell’s practical approach focuses on the context of statistics in behavioral research, with an emphasis on looking at data before jumping into a test. This provides students with an understanding of the logic behind the statistics: why and how certain methods are used rather than just doing techniques by rote. Students move beyond number crunching to discover the meaning of statistical results and how they relate to the research questions being asked. FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES contains an abundance of real data and research studies as a base and moves through an analysis of data.
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I have really enjoyed this book so far, as much as one can enjoy reading a book for a class. It makes statistics feel less like math and the necessary skills seem more easily obtainable.
Measures of Central Tendency
Measures of Variability
The Normal Distribution
Basic Concepts of Probability
Sampling Distributions and Hypothesis Testing
Factorial Analysis of Variance
RepeatedMeasures Analysis of Variance
Nonparametric and DistributionFree Statistical Tests
Choosing the Appropriate Analysis
Symbols and Notation
Basic Statistical Formulae
Hypothesis Tests Applied to Means One Sample
Hypothesis Tests Applied to Means Two Related Samples
Hypothesis Tests Applied to Means Two Independent Samples
OneWay Analysis of Variance
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actually analysis of variance answer applet average boxplot calculate chapter chi-square compute confidence limits consider correlation coefficient critical value data in Exercise Definition degrees of freedom dependent variable discussed effect size equal equation estimate example expect experimental familywise error rate females Figure Fisher’s formula frequency gender graph hypothesis testing important independent interquartile range interval look males measure median moon illusion normal distribution null hypothesis number of observations obtained one-way parameters PctSAT percentage plot population mean population variance predicted predictors probability procedures question random ranks ratio regression line reject the null relationship represents sample mean sample sizes sample variance sampling distribution scale significant simply SPSS standard deviation standard error statistics stem-and-leaf display stress subjects sum of squares Table therapy tion true two-tailed test Type I error weight