# Statistics I & II For Dummies 2 eBook Bundle: Statistics For Dummies & Statistics II For Dummies

John Wiley & Sons, Jan 3, 2013 - Mathematics - 768 pages

Two complete eBooks for one low price! Created and compiled by the publisher, this Statistics I and Statistics II bundle brings together two math titles in one, e-only bundle. With this special bundle, you’ll get the complete text of the following two titles:

Statistics For Dummies, 2nd Edition  Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more.

• Tracks to a typical first semester statistics course
• Updated examples resonate with today's students
• Explanations mirror teaching methods and classroom protocol

Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

Statistics II For Dummies  The ideal supplement and study guide for students preparing for advanced statistics. Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any reader succeed in an upper-level statistics course. It picks up with data analysis where Statistics For Dummies left off, featuring new and updated examples, real-world applications, and test-taking strategies for success. This easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test.

Deborah Rumsey has a PhD in Statistics from The Ohio State University.  Upon graduating, she joined the faculty in the Department of Statistics at Kansas State University, where she won the distinguished Presidential Teaching Award and earned tenure and promotion. She returned to Ohio State and is now a Statistics Education Specialist/Auxiliary Faculty Member for the Department of Statistics. Dr. Rumsey has served on the American Statistical Associations Statistics Education Executive Committee and is the Editor of the Teaching Bits section of the Journal of Statistics Education. She is the author of the both books in this bundle. Additionally, she has published many papers and given many professional presentations on the subject of Statistics Education. Her particular research interests are curriculum materials development, teacher training and support, and immersive learning environments.

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### Contents

 Ten Surefire Exam Score Boosters Statistics For Dummies Table of Contents Vital Statistics about Statistics Guesstimating and Hypothesizing Icons Used in This Book Statistics in a Nutshell Statistics in a Nutshell
 Figuring Out What Sample Size You Need Difference of Two Means Estimating the Difference of Claims Tests and Conclusions Understanding standard scores pValues Assessing the Chance of a Wrong Decision Hypothesis tests

 Collectin ualit Data Creating Effective Summaries Determining Distributions Margin of error and confidence Becoming a Sleuth Not a Skeptic Mulling malpractice Touring the travel news Time Looking for lies in all the right Data Statistic Percentile Means Medians and More Means Medians and More Averaging out to the mean Accounting for Variation Examining the Empirical Rule 6895997 Data Examining Boxplots Tackling Time Charts Distributions and the Central Limit Theorem Identifying a Binomial Finding Binomial Probabilities Using greaterthan lessthan Checking out Checking out Finding Probabilities for a Normal Figuring out a percentile for Normal Approximation to the Binomial The tDistribution Using the tTable Sampling Distributions and the Central Sample size and standard error Looking at the Shape of a Sampling The distribution of X Finding Probabilities for the Sample Mean The Sampling Distribution of the Sample Finding Probabilities for the Sample Guesstimating and Hypothesizing With Confidence Measuring sample variability Calculating margin of error for Determining the Impact of Sample Size intervals Zooming In on Width Counting On Population Variability Sampling Distributions and the Central
 Testing One Population Mean Relating t to Testing One Population Proportion Testing for an Average Difference The Comparing Two Population Proportions Statistical Studies and the Hunt for a Meaningful The Ins and Outs Selecting the sample Interpreting results and finding Designing a Good Experiment variables Making Informed Decisions Quantifying Linear Relationships Using Examining properties of Working with Linear Regression Making Proper Predictions Correlation regression and two TwoWay Tables and Independence Interpreting TwoWay Tables Checking Independence and Describing Cautiously Interpreting Results Ten Tips for the Statistically Savvy Sleuth Uncover Biased Data For Dummies An Overview Avoiding Bias Defining the conditions Making scatterplots The Model Looks Understanding a Logistic Regression Model Checking the Conditions Pinpointing Differing Means with Fisher Understanding Interaction Effects Building Strong Connections with ChiSquare Tests Being Independent Enough for the Chi Using ChiSquare Tests for Goodnessof The Part of Tens Ten Cool Jobs That Use Statistics Introduction Building Strong Connections with Looking before You Crunch ANOVA A Meeting of Breaking Down the Probabilities Tr in To Be Inde endent Copyright