An introduction to statistical methods and data analysis /

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth 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...

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Bibliographic Details
Main Author: Ott, R Lyman. 1940- (autor)
Other Authors: Longmecker, Michael (autor)
Format: Book
Language:English
Published: Canada: Cengage Learning, 2010.
Edition:Sexta edición.
Subjects:

MARC

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505 1 |a PART 1 Introduction. What Is Statistics? -- PART 2 Collecting Data. Using Surveys and Scientific Studies to Gather Data -- PART 3 Summarizing Data. Data Description -- Probability and Probability Distributions -- Inferences about Population Central Values -- Inferences Comparing Two Population Central Values -- Inferences about Population Variances -- Inferences about More Than Two Population Central Values -- Multiple Comparisons -- Categorical Data -- Linear Regression and Correlation -- Multiple Regression and the General Linear Model. 
520 3 |a Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth 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 in 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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