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Introductory Statistics: A Problem Solving Approach - Stephen Kokoska

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      Présentation Introductory Statistics: A Problem Solving Approach de Stephen Kokoska Format Relié

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      Livre - Stephen Kokoska - 01/12/2014 - Relié - Langue : Anglais

      . .

    • Auteur(s) : Stephen Kokoska
    • Editeur : Macmillan Learning
    • Langue : Anglais
    • Parution : 01/12/2014
    • Nombre de pages : 880
    • Expédition : 2089
    • Dimensions : 28.2 x 22.5 x 4.0
    • ISBN : 9781464111693



    • Résumé :
      Stephen Kokoska combines a traditional, classic approach to teaching statistics with contemporary examples, pedagogical features, and prose that will appeal to today's student. Kokoska emphasises statistical inference and decision making throughout. His fresh yet practical way to help students understand statistics is balanced by a logic that speaks to the teaching style of many instructors.

      The textbook has been extensively reviewed and class tested and feedback from instructors and students has shaped it throughout its development. Author Steve Kokoska blends solid mathematics with lucid writing to create a text that illustrates statistical concepts by using a stepped problem-solving approach. His textbook helps students understand the process of basic statistical arguments, a skill that will help them in their coursework and as they enter a life beyond academics.

      Introductory Statistics is available with SaplingPlus. Within SaplingPlus, you'll have access to an interactive ebook (available on and offline) along with questions, quizzes and targeted feedback to help you achieve success in your course.

      Biographie:
      Steve is a long-time consultant for the College Board and conducted workshops in Brazil, the Dominican Republic, and China. He was the AP Calculus Chief Reader for four years, and has been involved with calculus reform and the use of technology in the classroom. He has been teaching at Bloomsburg University for 25 years and recently served as Director of the Honors Program.

      Sommaire:

      0. Why Study Statistics.-1. An Introduction to Statistics and Statistical Inference.- 2. Tables and Graphs for Summarizing Data.- 3. Numerical Summary Measures.- 4. Probability.- 5. Random Variables and Discrete Probability Distributions.- 6. Continuous Probability Distributions.- 7. Sampling Distributions.- 8. Confidence Intervals Based on a Single Sample.- 9. Hypothesis Tests Based on a Single Sample.- 10. Confidence Intervals and Hypothesis Tests Based on Two Samples or Treatments.- 11. The Analysis of Variance.- 12. Correlation and Linear Regression.- 13. Categorical Data and Frequency Tables.- 14. Nonparametric Statistics.

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