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Introductory Statistics (2Nd Edition) at Meripustak

Introductory Statistics (2Nd Edition) by Stephen Kokoska, MACMILLAN

Books from same Author: Stephen Kokoska

Books from same Publisher: MACMILLAN

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  • General Information  
    Author(s)Stephen Kokoska
    PublisherMACMILLAN
    ISBN9781464111693
    Pages880
    BindingHardbound
    LanguageEnglish
    Publish YearOctober 2018

    Description

    MACMILLAN Introductory Statistics (2Nd Edition) by Stephen Kokoska

    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. 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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