More New and Used
from Private Sellers
Only one copy
in stock at this price.
In Stock Usually Ships in 24 Hours.
Special Order: 1-2 Weeks
Starting at $44.46
Questions About This Book?
Why should I rent this book?
Renting is easy, fast, and cheap! Renting from eCampus.com can save you hundreds of dollars compared to the cost of new or used books each semester. At the end of the semester, simply ship the book back to us with a free UPS shipping label! No need to worry about selling it back.
How do rental returns work?
Returning books is as easy as possible. As your rental due date approaches, we will email you several courtesy reminders. When you are ready to return, you can print a free UPS shipping label from our website at any time. Then, just return the book to your UPS driver or any staffed UPS location. You can even use the same box we shipped it in!
What version or edition is this?
This is the edition with a publication date of 10/20/2011.
What is included with this book?
- The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.
- The Used copy of this book is not guaranteed to inclue any supplemental materials. Typically, only the book itself is included.
- The Rental copy of this book is not guaranteed to include any supplemental materials. You may receive a brand new copy, but typically, only the book itself.
The book is divided into three Parts: Part One has chapters that introduce data analysis and SPSS; Part Two contains eight chapters on descriptive statistics that begin with frequency tables and go through multiple regression; and Part Three includes six chapters on inferential statistics. Part One: Getting Started begins by answering some questions most students have right at the start û questions like why study data analysis and how much math and computer knowledge is required? Essential concepts from research methods relevant for data analysis are also explained. Part Two: Descriptive Statistics: Answering Questions about Your Data demonstrates procedures to use when the analyst is only concerned with describing the cases for which he or she actually has data. Statistics summarizing single variables (univariate statistics) are presented first and then statistics summarizing relationships between variables (multivariate statistics). Frequency tables, measures of central tendency, measures of dispersion, crosstabs, measures of association, subgroup means, and regression are all covered as are bar charts, pie charts, histograms, and clustered bar charts. Part Three: Inferential Statistics: Answering Questions about Populations explains procedures which allow the analyst to draw conclusions about the population from which his or her sample of cases was randomly selected. It begins with a simple chapter on the statistical theory behind inferential statistics. A four-step approach to hypothesis testing is introduced in the next chapter and demonstrated with one-sample t test hypotheses. The remaining chapters present different types of hypothesis tests including paired-samples, independent-samples, one and two-way ANOVA, and chi-square.
Table of Contents
|About the Author|
|Descriptive Statistics: Answering Questions About Your Data|
|Frequency Tables and Univariate Charts|
|Central Tendency and Dispersion|
|Creating New Variables|
|Comparing Group Means|
|Nominal and Ordinal Measures of Association|
|Pearson's Correlation and Bivariate Regression|
|Inferential Statistics: Answering Questions About Populations|
|Sampling Distributions and Normal Distributions|
|Hypothesis Testing and One-Sample t Tests|
|Paired- and Independent-Samples t Tests|
|Analysis of Variance|
|Hypothesis Testing With Measures of Association and Regression|
|Table of Contents provided by Publisher. All Rights Reserved.|