Utvidet returrett til 31. januar 2025

An Introduction to Statistical Methods and Data Analysis

Om An Introduction to Statistical Methods and Data Analysis

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780357670620
  • Bindende:
  • Paperback
  • Sider:
  • 1296
  • Utgitt:
  • 11. november 2021
  • Utgave:
  • 7
  • Dimensjoner:
  • 253x206x48 mm.
  • Vekt:
  • 2230 g.
  • BLACK NOVEMBER
  På lager
Leveringstid: 4-7 virkedager
Forventet levering: 8. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av An Introduction to Statistical Methods and Data Analysis

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments.

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