Statistics I & II For Dummies 2 eBook Bundle: Statistics For Dummies & Statistics II For DummiesTwo 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, eonly 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.
Packed with practical advice and realworld problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or onthejob 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 degreeseeking students, Statistics II For Dummies helps any reader succeed in an upperlevel statistics course. It picks up with data analysis where Statistics For Dummies left off, featuring new and updated examples, realworld applications, and testtaking strategies for success. This easytounderstand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chisquares, and making comparisons with the Rank Sum Test. About the Author 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  
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  
Other editions  View all
Statistics I & II For Dummies 2 EBook Bundle: Statistics For Dummies ... Deborah Rumsey No preview available  2013 