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Answering questions with statistics

Author: Robert F Szafran
Publisher: Thousand Oaks : Sage Publications, Inc, ©2012.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"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 - questions like why study  Read more...
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Document Type: Book
All Authors / Contributors: Robert F Szafran
ISBN: 9781412991322 1412991323
OCLC Number: 711052225
Description: xxv, 429 pages : illustrations ; 24 cm
Contents: pt. 1. Getting Started --
1. Introduction --
2. Data Sets --
pt. 2. Descriptive Statistics: Answering Questions about Your Data --
3. Frequency Tables and Univariate Charts --
4. Central Tendency and Dispersion --
5. Creating New Variables --
6. Comparing Group Means --
7. Crosstab TablesChapter 8. Nominal and Ordinal Measures of AssociationChapter 9. Pearson's Correlation and Bivariate Regression --
10. Multiple Regression --
pt. 3. Inferential Statistics: Answering Questions about Populations --
11. Sampling Distributions and Normal Distributions --
12. Hypothesis Testing and One-Sample t Tests --
13. Paired and Independent-Samples t Tests --
14. Analysis of Variance --
15. Chi-SquareChapter --
16. Hypothesis Testing with Measures of Association and Regression.
Responsibility: Robert Szafran.

Abstract:

Introduces students to statistics using SPSS by using engaging subject matter and subjective and objective data.  Read more...

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"The text proceeds in a logical order, building upon what was covered earlier. This is one of its strong suits: it presents the topics in a logical, practical order. It also covers the necessary Read more...

 
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    schema:description "pt. 1. Getting Started -- 1. Introduction -- 2. Data Sets -- pt. 2. Descriptive Statistics: Answering Questions about Your Data -- 3. Frequency Tables and Univariate Charts -- 4. Central Tendency and Dispersion -- 5. Creating New Variables -- 6. Comparing Group Means -- 7. Crosstab TablesChapter 8. Nominal and Ordinal Measures of AssociationChapter 9. Pearson's Correlation and Bivariate Regression -- 10. Multiple Regression -- pt. 3. Inferential Statistics: Answering Questions about Populations -- 11. Sampling Distributions and Normal Distributions -- 12. Hypothesis Testing and One-Sample t Tests -- 13. Paired and Independent-Samples t Tests -- 14. Analysis of Variance -- 15. Chi-SquareChapter -- 16. Hypothesis Testing with Measures of Association and Regression."@en ;
    schema:description ""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 - 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"--"@en ;
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