An Introduction to Statistics in Psychology
"Statistics for psychology statistics can be tricky, but this revised edition of Howitt and Cramer's popular guide to statistics for psychology makes it much easier. Students at all levels will find the jargon-free style and comprehensive yet accessible approach indispensable. The book is laid out with great visual clarity, making it a highly effective teaching and learning tool. Complex mathematics is kept to a minimum and concepts that are often difficult to grasp are explained step-by-step, using a wide variety of examples."
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alcohol analysis of variance ANOVA average calculation cell means Chapter Column mean comparisons components confidence interval correlation matrix covariate data table degrees of freedom dependent distribution effect size effect sizes equal frequencies model example expected frequencies experimental F-ratio f-test factor analysis females independent variable individual differences interpretation involves iron supplement likelihood ratio chi-square log-linear analysis main effects males marital love marital satisfaction mean square measure nominal category Notes and recommendations null hypothesis number of columns number of scores numerical scores obtained One-tailed Overall mean pairs partial correlation Pearson correlation coefficient population mean possible predicted predictors programme psychological psychologists ranks relationship remaining married Row mean sample means saturated model scattergram set of scores significance level Significance Table simply skewness sleep deprivation Spearman's rho standard deviation standard error statistically significant Step studies subtracting sum of squares two-tailed test unrelated variance estimate variance summary table z-score zero
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The Information Universe: Issues in Informing Science and Information Technology
Informing Science Institute
No preview available - 2006