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- Author: Peter Wright Vik
- Publisher: SAGE Publications, Inc
- ISBN-10: 1412997356
- ISBN-13: 9781412997355
- Format: 18.8 x 23.3 x 1.8 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Peter Vik′s Regression, ANOVA, and the General Linear Model: A Statistics Primer demonstrates basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. The two perspectives are (1) a traditional focus on the t-test, correlation, and ANOVA, and (2) a model-comparison approach using General Linear Models (GLM). This book juxtaposes the two approaches by presenting a traditional approach in one chapter, followed by the same analysis demonstrated using GLM. By so doing, students will acquire a theoretical and conceptual appreciation for data analysis as well as an applied practical understanding as to how these two approaches are alike.
EXTRA 10 % discount with code: EXTRA
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- Author: Peter Wright Vik
- Publisher: SAGE Publications, Inc
- ISBN-10: 1412997356
- ISBN-13: 9781412997355
- Format: 18.8 x 23.3 x 1.8 cm, minkšti viršeliai
- Language: English English
Peter Vik′s Regression, ANOVA, and the General Linear Model: A Statistics Primer demonstrates basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. The two perspectives are (1) a traditional focus on the t-test, correlation, and ANOVA, and (2) a model-comparison approach using General Linear Models (GLM). This book juxtaposes the two approaches by presenting a traditional approach in one chapter, followed by the same analysis demonstrated using GLM. By so doing, students will acquire a theoretical and conceptual appreciation for data analysis as well as an applied practical understanding as to how these two approaches are alike.
Reviews