Statistical Reasoning for the Behavioral Sciences |
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... chapters . The first chapter in this section , Chapter 9 , provides a conceptual introduction to statistical inference leading to the need for probability theory . The next chapter , Chapter 10 , presents those aspects of probability ...
... chapters . The first chapter in this section , Chapter 9 , provides a conceptual introduction to statistical inference leading to the need for probability theory . The next chapter , Chapter 10 , presents those aspects of probability ...
Page 403
... chapter is to provide a statistical test for handling data on Case I research problems . Specifically , this chapter provides a technique for comparing a sample mean with a hypothesized population mean when , as is the usual case , the ...
... chapter is to provide a statistical test for handling data on Case I research problems . Specifically , this chapter provides a technique for comparing a sample mean with a hypothesized population mean when , as is the usual case , the ...
Page 479
... Chapter 1 ) . It is used to test several hypotheses about differences between means in the factorial design . In this chapter , the conceptual underpinnings and the techniques for using the factorial analysis of variance are presented ...
... Chapter 1 ) . It is used to test several hypotheses about differences between means in the factorial design . In this chapter , the conceptual underpinnings and the techniques for using the factorial analysis of variance are presented ...
Contents
The Role of Research in the Behavioral Sciences 4 Purposes of Empirical Research | 9 |
Some Basic Elements in Designing Research 13 Threats to the Validity of Research | 41 |
Pygmalion in the Classroom 47 Development | 47 |
Copyright | |
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abscissa achievement alternative hypothesis assumption average belief scale by.x cell central tendency Chapter class interval column Compute confidence interval control group correlation coefficient crit critical value cumulative frequency decision degrees of freedom differences between means distribution of means equal estimate EXAMPLE PROBLEM expected frequencies experimental group factor Figure frequency distribution frequency polygon grades H₁ hypothetical study independent variable interaction internal validity measure median moral judgments negative normal distribution null and alternative null hypothesis number of subjects one-tailed test outcome percentile points population mean post hoc comparisons posttest predicted pretest random sample randomly assigned raw scores real limit reject the null relationship relative frequency represent sample data sample mean sampling distribution scatterplot score value scores fall specified standard deviation standard error statistical test summarized in Procedure Suppose Table theory treatment effect two-tailed test Type I error variance X₁ z score zero ΣΧ