Statistics for Behavioral Sciences QuickStudy Laminated Reference Guide QuickStudy Business | First Edition Edition

Details about Statistics for Behavioral Sciences QuickStudy Laminated Reference Guide QuickStudy Business:

Essential quick reference guide for one of the most challenging courses in the behavioral sciences. With memorization of statistical concepts and equations in a non-mathematics centered major, this reference to the need-to-know of the course will be a life saver.  Authored in its concise style and format this 6 page, colorfully organized tool provides the answers you need at your fingertips. Organized and authored by Deborah J. Rumsey, PhD, accomplished author, Statistics Education Specialist, Faculty Member, and Fellow of the American Statistical Association. Quality and care of authorship, editing, and design makes this an incredible value for the study support and grade boosting power it holds. 6 page guide includes: Important Terms Graphs for Single Variable Pie Chart Bar Graph Histogram Stem-and-Leaf Plot Boxplot Data Tables Descriptive Statistics for Single Variable Measures of Center Quartiles & Percentiles Five-Number Summary Measures of Variation Correlation & Regression Correlation Simple Linear Regression Simple Linear Regression Analysis Interpretation & Prediction Measuring How Well the Regression Line Fits Probability Random Variables Probability Distribution Normal Distribution 68-95-99.7 Rule Standard Normal (Z) Distribution The t Distribution Binomial Distribution Normal Approximation to the Binomial Sampling Distribution of p(hat) (1 − α)% Confidence Intervals For One Population Mean μX For One Population Proportion p For the Difference in Two Population Means μX–μY For the Difference in Two Population Proportions p1–p2 α-Level Hypothesis Tests For One Population Mean μx For One Population Proportion p For the Difference of Two Population Means μX – μY  with Independent Samples Hypothesis Test for the Mean of the Paired Differences μd (Paired Data, Dependent) For the Difference in Two Proportions, Independent Samples Analysis of Variance (ANOVA) The F Distribution The F Table ANOVA Table Multiple Comparisons Two-Way ANOVA