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

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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.

 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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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
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
Looking for lies in all the right
Means Medians and More
Means Medians and More
Averaging out to the mean
Accounting for Variation
Examining the Empirical Rule 6895997
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
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
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
Building Strong Connections with
Looking before You Crunch
A Meeting of
Breaking Down the Probabilities
Tr in To Be Inde endent

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