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Intermediate Statistics: A Conceptual - Hardcover, by Pelham Brett W. - New h
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ApproximatelyS$ 144.53
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Located in: Philadelphia, Pennsylvania, United States
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eBay item number:127202116032
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Intermediate Statistics: A Conceptual Course
- ISBN
- 9781412994989
About this product
Product Identifiers
Publisher
SAGE Publications, Incorporated
ISBN-10
1412994985
ISBN-13
9781412994989
eBay Product ID (ePID)
113098935
Product Key Features
Number of Pages
448 Pages
Publication Name
Intermediate Statistics : a Conceptual Course
Language
English
Publication Year
2012
Subject
Probability & Statistics / General, General
Type
Not Available
Subject Area
Mathematics, Reference
Format
Book, Other
Dimensions
Item Height
1.2 in
Item Weight
33 Oz
Item Length
10.2 in
Item Width
7.2 in
Additional Product Features
LCCN
2012-028415
Dewey Edition
23
Reviews
This is a breath of fresh air compared to most statistics texts-rigorous but highly readable. The author does an impressive job of making statistical concepts feel intuitive. In addition, the integration of datasets and SPSS problems to solve make this book unique., eoeThe text is highly readable, and the author has done a good job making difficult topics like path analysis easy for students to comprehend. As much as possible, the author uses simple language and explains things in ways that students would be able to grasp. His incorporation of numerous examples helps to facilitate this goal as well.e, 'eoeThe key strengths of this text are is applied perspective, focusing on conceptual understanding of data analyses rather than arcane statistical proofs. It finds just the right balance of technical, conceptual and practical perspectives. In addition, the heavy reliance on real-world examples and supplemental information in appendices will render it an invaluable resource for young graduate students as they progress in their research training.'e�, The text is highly readable, and the author has done a good job making difficult topics like path analysis easy for students to comprehend. As much as possible, the author uses simple language and explains things in ways that students would be able to grasp. His incorporation of numerous examples helps to facilitate this goal as well., The key strengths of this text are is applied perspective, focusing on conceptual understanding of data analyses rather than arcane statistical proofs. It finds just the right balance of technical, conceptual and practical perspectives. In addition, the heavy reliance on real-world examples and supplemental information in appendices will render it an invaluable resource for young graduate students as they progress in their research training., 'eoeThis is a breath of fresh air compared to most statistics texts'e"rigorous but highly readable. The author does an impressive job of making statistical concepts feel intuitive. In addition, the integration of datasets and SPSS problems to solve make this book unique.'e�, 'eoeThe text is highly readable, and the author has done a good job making difficult topics like path analysis easy for students to comprehend. As much as possible, the author uses simple language and explains things in ways that students would be able to grasp. His incorporation of numerous examples helps to facilitate this goal as well.'e�, "The text is highly readable, and the author has done a good job making difficult topics like path analysis easy for students to comprehend. As much as possible, the author uses simple language and explains things in ways that students would be able to grasp. His incorporation of numerous examples helps to facilitate this goal as well." -- Rebecca Brooks "The key strengths of this text are is applied perspective, focusing on conceptual understanding of data analyses rather than arcane statistical proofs. It finds just the right balance of technical, conceptual and practical perspectives. In addition, the heavy reliance on real-world examples and supplemental information in appendices will render it an invaluable resource for young graduate students as they progress in their research training." -- Charlie L. Reeve "This is a breath of fresh air compared to most statistics texts-rigorous but highly readable. The author does an impressive job of making statistical concepts feel intuitive. In addition, the integration of datasets and SPSS problems to solve make this book unique." -- Michael J. Poulin, eoeThe key strengths of this text are is applied perspective, focusing on conceptual understanding of data analyses rather than arcane statistical proofs. It finds just the right balance of technical, conceptual and practical perspectives. In addition, the heavy reliance on real-world examples and supplemental information in appendices will render it an invaluable resource for young graduate students as they progress in their research training.e, eoeThis is a breath of fresh air compared to most statistics textse"rigorous but highly readable. The author does an impressive job of making statistical concepts feel intuitive. In addition, the integration of datasets and SPSS problems to solve make this book unique.e, This is a breath of fresh air compared to most statistics texts--rigorous but highly readable. The author does an impressive job of making statistical concepts feel intuitive. In addition, the integration of datasets and SPSS problems to solve make this book unique.
Illustrated
Yes
Dewey Decimal
519.5
Intended Audience
College Audience
Table Of Content
Chapter 1: A Review of Basic Statistical ConceptsChapter 2: Descriptive StatisticsChapter 3: Linear and Curvilinear CorrelationChapter 4: Non-Parametric Statistics (Tests Involving Nominal Variables)Chapter 5: Reliability (and a Little Bit of Factor Analysis)Chapter 6: Single-sample and two-sample t-testsChapter 7: One-way and Factorial Analysis of Variance (ANOVA)Chapter 8: Within-Subjects and Mixed Model AnalysesChapter 9: Multiple RegressionChapter 10: Examining Interactions in Multiple RegressionChapter 11: ANCOVA, Covariate Adjusted Means, and Predicted ScoresChapter 12: Suppressor VariablesChapter 13: Mediation and Path AnalysisChapter 14: Data CleaningChapter 15: Data Merging and Data ManagementChapter 16: Avoiding Bias: Characterizing without Capitalizing
Synopsis
Intermediate Statistics: A Conceptual Course is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions., A student-friendly text which enables students to appreciate the logic of descriptive and inferential statistics, and understand which techniques are best suited to which kinds of data or research questions, Hands on Data Analysis: A Second Course in Statistics is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions.
LC Classification Number
QA276
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- e***8 (7812)- Feedback left by buyer.Past monthVerified purchaseAS DESCRIBED.PROMPT DELVIERY
- a***u (32)- Feedback left by buyer.Past monthVerified purchaseGreat used book which included the tear out sections, so I was pleasantly surprised! Very reasonably priced, it was a steal 😊
- n***r (585)- Feedback left by buyer.Past monthVerified purchaseFast delivery
Popular categories from this store
Seller feedback (181,077)
- e***8 (7812)- Feedback left by buyer.Past monthVerified purchaseAS DESCRIBED.PROMPT DELVIERY
- a***u (32)- Feedback left by buyer.Past monthVerified purchaseGreat used book which included the tear out sections, so I was pleasantly surprised! Very reasonably priced, it was a steal 😊
- n***r (585)- Feedback left by buyer.Past monthVerified purchaseFast delivery