Statistics Laminate Reference Char

This guide is a perfect overview for the topics covered in introductory statistics courses.

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, durably laminated 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 laminated 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

Essential quick reference guide for material covered in a college-level introductory statistics course. Often one of the most challenging intro courses taken, the information as authored in its concise style and format can support anyone using statistics for reference to concepts and equations throughout their academic or professional career. In 6 laminated durable pages the answers you need are 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, and that this guide will last your entire career makes it an incredible value that you need to add to your statistics toolbox. 6 page laminated guide includes: Important Terms Data Tables Graphs for Single Variable Pie Chart, Bar Graph, Histogram, Stem-Leaf Plot, Boxplot 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 Probability Random Variables Probability Distribution Normal Distribution 68-95-99.7 Rule Standard Normal Distribution The t-Distribution Binomial Distribution Sampling Distribution of the Sample Mean Sampling Distribution of the Sample Proportion Confidence Intervals Alpha Level Hypothesis Test

BarCharts' handy 3-panel guide can make even the most complicated probability equations a breeze. Definitions, hints and sample problems are contained within each page, along with full-color illustrations and graphs highlighting specific problems. The "probability" of attaining better grades with this excellent reference tool is very good!

Packed with key definitions, concepts, and equations, our Business Statistics guide covers how to read and use data to make clear business decisions. This essential reference tool is written and organized for quick access to critical points allowing students and professionals to increase grades and sharpen skills of collecting, organizing, and summarizing data for business.

The International Merchandise Trade Statistics: Compilers Manual, Revision 1 (IMTS 2010-CM) supports statisticians in countries in the implementation of the new and updated recommendations contained in International Merchandise Trade Statistics: Concepts and Definitions, Revision 3 (IMTS 2010). The Manual contains further and more detailed explanation of certain recommendations and provides practical guidance for trade statistics compilers by describing good or best practices applicable under different circumstances. However, the Manual is also a very valuable source of information for all users and analysts of trade statistics as it highlights critical issues of trade statistics and its compilation and describes existing country practises in numerous examples. Readers will gain an inside look in trade statistics, allowing an in depth understanding of issues and practises.

Essential quick reference guide for material covered in a college-level introductory statistics course. Often one of the most challenging intro courses taken, the information as authored in its concise style and format can support anyone using statistics for reference to concepts and equations throughout their academic or professional career. In 6 laminated durable pages the answers you need are 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, and that this guide will last your entire career makes it an incredible value that you need to add to your statistics toolbox. 6 page laminated guide includes: Important Terms Data Tables Graphs for Single Variable Pie Chart, Bar Graph, Histogram, Stem-Leaf Plot, Boxplot 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 Probability Random Variables Probability Distribution Normal Distribution 68-95-99.7 Rule Standard Normal Distribution The t-Distribution Binomial Distribution Sampling Distribution of the Sample Mean Sampling Distribution of the Sample Proportion Confidence Intervals Alpha Level Hypothesis Test