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Applied Statistics

Desktop Reference

This book is available for download with iBooks on your Mac or iOS device. Multi-touch books can be read with iBooks on your Mac or iOS device. Books with interactive features may work best on an iOS device. iBooks on your Mac requires OS X 10.9 or later.

Description

The Applied Statistics Desktop Reference provides a review of hypothesis testing and the interpretation of output generated by statistical software.  Applied Statistics will be most useful for those who have completed a course in statistics and need a quick refresher or for students looking for a concise reference to support classroom instruction.  It is not intended to serve as a stand-alone statistical text. The approach of the text is to connect classically taught statistics with statistical software output.  Applied Statistics presents commonly used hypothesis tests and formulas, provides an example of how to do the calculations, and relates the hypothesis testing to output generated by statistical software. For many, the most valuable portions of the text will be the Glossary with over 200 definitions and the annotated presentation of output from statistical software.  Applied Statistics covers the following statistical methods: Basic Research Terminology and Method Data File Design Rates, Ratios, Proportions Univariate and Bivariate Statistics for Percents and Means Standardized (Z) Scores Weighted Means Confidence Intervals for Proportions and Means Z-Tests of Proportions and T-Tests of Mean Chi-Square and Measures of Association One-Way ANOVA Pearson Correlation (scattergram and matrix interpretation) Simple and Multiple OLS Regression Logistic Regression (interpretation only)

What's New in Version 1.1

Minor edits to Preface and Chapter 1.

Applied Statistics
View in iTunes
  • Free
  • Available on iPad, iPhone and Mac.
  • Category: Mathematics
  • Published: Aug 19, 2014
  • Publisher: AcaStat Software
  • Seller: Phil Crewson
  • Print Length: 172 Pages
  • Language: English
  • Version: 1.1
  • Requirements: To view this book, you must have an iPad with iBooks 2 or later and iOS 5 or later, or an iPhone with iOS 8.4 or later, or a Mac with OS X 10.9 or later.

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