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      Applied Statistics I – International Student Edition: Basic Bivariate Techniques

      1 in stock

      Firm sale: non returnable item
      SKU 9781071807491 Categories ,
      Select Guide Rating
      Created from the first half of Rebecca M. Warner′s popular Applied Statistics: From Bivariate Through Multivariate Techniques, this introductory statistics text reflects current thinking in the field and uses a contemporary approach that differs from other well-worn text...

      £73.00

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      Description

      Product ID:9781071807491
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:Applied Statistics I - International Student Edition
      Subtitle:Basic Bivariate Techniques
      Authors:Author: Rebecca M. Warner
      Subjects:Research methods: general, Research methods: general, Social research and statistics, Psychological methodology, Probability and statistics, Social research & statistics, Psychological methodology, Probability & statistics
      Description:Select Guide Rating
      Created from the first half of Rebecca M. Warner′s popular Applied Statistics: From Bivariate Through Multivariate Techniques, this introductory statistics text reflects current thinking in the field and uses a contemporary approach that differs from other well-worn texts in the market.
      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.
      Imprint Name:SAGE Publications Inc
      Publisher Name:SAGE Publications Inc
      Country of Publication:GB
      Publishing Date:2020-02-20

      Additional information

      Weight1140 g
      Dimensions187 × 255 × 28 mm