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An Introduction to Statistical Methods and Data Analysis notes (1st edition)

Micheal Longnecker, R. Lyman Ott - ISBN: 9781305269477

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View all 16 notes for An Introduction to Statistical Methods and Data Analysis, written by Micheal Longnecker, R. Lyman Ott. All An Introduction to Statistical Methods and Data Analysis notes, flashcards, summaries and study guides are written by your fellow students or tutors. Get yourself a An Introduction to Statistical Methods and Data Analysis summary or other study material that matches your study style perfectly, and studying will be a breeze.

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Summary of Advanced statistics for Nutritionists Including lectures, the lecture notes and a summary of the book Topics: - sample size calculation - inference on probabilities - contingency tables and simple regression - correlation - multiple regression - t-tests, F-tests, confidence intervals, rejection region - One-way ANOVA & multiple comparisons - two-way ANOVA, main effects & interactions in factorial experiments - comparing means, type I, II, III sum of squares & blocking - ANCOVA - vari...

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This document contains notes from all the lectures (1 to 12), some interesting notes and tips from the computer practicals, as well as notes from the pen and paper practicals (PPP). Information from some knowledge clips are included already in the notes. R output is included, so it is easier to know what to look at for the computer practicals and for the exam. These are notes of the academic year 2020-2021, so based on the new version of study guide. With these notes, you don't even need to wa...

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Achieved result: 8.5 This is a comprehensive summary of the course “Statistics 2". Teaching material from the various lessons and related literature have been incorporated into it. In addition, various examples have been used throughout the summary as to provide clarification to the sometimes abstract literature. When you have this summary, I guarantee you won't need to review the slides ever again! Everything is there.

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Advanced statistics for Nutritionists
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Summary of Advanced statistics for Nutritionists Including lectures, the lecture notes and a summary of the book Topics: - sample size calculation - inference on probabilities - contingency tables and simple regression - correlation - multiple regression - t-tests, F-tests, confidence intervals, rejection region - One-way ANOVA & multiple comparisons - two-way ANOVA, main effects & interactions in factorial experiments - comparing means, type I, II, III sum of squares & blocking - ANCOVA - vari...

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This document contains notes from all the lectures (1 to 12), some interesting notes and tips from the computer practicals, as well as notes from the pen and paper practicals (PPP). Information from some knowledge clips are included already in the notes. R output is included, so it is easier to know what to look at for the computer practicals and for the exam. These are notes of the academic year 2020-2021, so based on the new version of study guide. With these notes, you don't even need to wa...

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Summary 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.