Applied Statistics I - International Student Edition

Regular price €164.92
A01=Rebecca M. Warner
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Applied statistics
Author_Rebecca M. Warner
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Bivariate Regression
Bivariate techniques
Category1=Non-Fiction
Category=GPS
Category=JHBC
Category=JMB
Category=PBT
COP=United States
Delivery_Delivery within 10-20 working days
Descriptive statistics
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eq_non-fiction
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Introduction to statistics
Language_English
New statistics
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Price_€100 and above
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Quantitative methods
Sampling error
softlaunch
SPSS
Statistical research

Product details

  • ISBN 9781071807491
  • Weight: 1130g
  • Dimensions: 203 x 254mm
  • Publication Date: 20 Feb 2020
  • Publisher: SAGE Publications Inc
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
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Applied Statistics I: Basic Bivariate Techniques has been created from the first half of Rebecca M. Warner′s popular Applied Statistics: From Bivariate Through Multivariate Techniques. The author′s contemporary approach differs from some of the well-worn texts in the market, and reflects current thinking in the field. It spends less time on statistical significance testing, and moves in the direction of the "new statistics" by focusing more on confidence intervals and effect size. Instructors of upper undergraduate or beginning graduate level courses will find that the greater focus on basic concepts such as partition of variance and effect size is more useful to students, particularly as preparation for more advanced courses. Spending less time on statistical significance testing allows for more time to be devoted to more interesting and useful statistics that students will see in journal articles (such as correlation and regression). This introductory statistics text includes examples in SPSS, together with datasets on an accompanying website. A companion study guide reproducing the exercises and examples in R will also be available.
Rebecca M. Warner received a B.A. from Carnegie-Mellon University in Social Relations in 1973 and a Ph.D. in Social Psychology from Harvard in 1978. She has taught statistics for more than 25 years: from Introductory and Intermediate Statistics to advanced topics seminars in Multivariate Statistics, Structural Equation Modeling, and Time Series Analysis. She is currently a Full Professor in the Department of Psychology at the University of New Hampshire. She is a Fellow in the Association for Psychological Science and a member of the American Psychological Association, the International Association for Relationships Research, the Society of Experimental Social Psychology, and the Society for Personality and Social Psychology. She has consulted on statistics and data management for the World Health Organization in Geneva and served as a visiting faculty member at Shandong Medical University in China.