Applied Statistics for the Behavioral Sciences, Volume 663This introductory text provides students with a conceptual understanding of basic statistical procedures, as well as the computational skills needed to complete them. The clear presentation, accessible language, and step-by-step instruction make it easy for students from a variety of social science disciplines to grasp the material. The scenarios presented in chapter exercises span the curriculum, from political science to marketing, so that students make a connection between their own area of interest and the study of statistics. Unique coverage focuses on concepts critical to understanding current statistical research such as power and sample size, multiple comparison tests, multiple regression, and analysis of covariance. Additional SPSS coverage throughout the text includes computer printouts and expanded discussion of their contents in interpreting the results of sample exercises. |
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66 pages matching final examination scores in this book
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Contents
Individual Scores | 3 |
Frequency Distribution | 22 |
Graphing Frequency Distributions | 33 |
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Other editions - View all
Applied Statistics for the Behavioral Sciences Dennis E. Hinkle,William Wiersma,Stephen G. Jurs No preview available - 2002 |
Applied Statistics for the Behavioral Sciences, International Edition Dennis E. Hinkle,William Wiersma,Stephen G. Jurs No preview available - 2009 |
Common terms and phrases
alternative hypothesis box plot Chapter class interval column Compute the Test confidence interval consider correlation coefficient covariate criterion for rejecting critical value defined degrees of freedom determine difference discussed distribution of scores effect equal estimate example F ratio Figure final examination scores formula found in Table frequency distribution gender graph hypothesis testing hypothesized value illustrated independent variable inferential statistics level of significance linear MATHACH mathematics multiple normal distribution null hypothesis one-tailed test parameter Pearson Percent Valid percentile rank population mean predicted predictor variables probability procedures proportion psychology random sample raw score regression equation reject the null relationship researcher sample mean sampling distribution SAT scores scatterplot selected SPSS standard deviation standard error standard score statistically significant Step sum of squares Suppose test statistic testing the null tion Tukey two-tailed test Type I error underlying distribution variation X₁ z score ΣΧ