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GUIDE TO ESSENTIAL BIOSTATISTICS AGCHEM & BIOSCIENCE

      Author: Baturi   |   07 July 2022   |   comments: 0

GUIDE TO ESSENTIAL BIOSTATISTICS AGCHEM & BIOSCIENCE
Harald B. Teicher, "GUIDE TO ESSENTIAL BIOSTATISTICS: AGCHEM & BIOSCIENCE"
English | 2019 | ISBN: 1798120909 | ASIN: B07P9TG1KH | EPUB | pages: 174 | 4.9 mb
Are you starting a new Crop Protection project, moving teams, or starting a new role - the LABCOAT GUIDE TO CROP PROTECTION series will provide an easily accessible introduction to specific topics and get you up to speed fast!


This book is relevant to anyone involved in BIOSCIENCE R&D, including Corporate and Academic Researchers, R&D Managers, Registration Specialists, Product Managers, Business Analysts, and Investors.
BASED ON A 20+ YEAR R&D BACKGROUND IN THE CORPORATE & ACADEMIC R&D COMMUNITY, THIS BOOK PROVIDES YOU WITH AN INTRODUCTION TO ESSENTIAL PRINCIPLES OF BIOSTATISTICS - through a plain-English description of what is it the numbers are telling you and how you can use this to plan trials, understand your data and make decisions!
Designed to fit in a lab coat pocket for easy access, this GUIDE TO ESSENTIAL BIOSTATISTICS compiles some of the most-used biostatistical techniques, approximations and rules-of-thumb used in the design and analysis of biological experiments.
Here is what you will cover in GUIDE TO ESSENTIAL BIOSTATISTICS:
A Short History of Applied Biostatistics
The Scientific Method
PROPOSING A HYPOTHESIS
1. Hypotheses
2. The NULL hypothesis
DESIGNING AND IMPLEMENTING EXPERIMENTS
3. Type I and Type II errors
4. Statistical Significance, Power and Effect Size
5. Variance
6. Sample size & replication
7. Experimental Degrees of Freedom
8. Randomization and Experimental Design
DESCRIPTIVE STATISTICS
9. Descriptive Statistics: SD, SE or 95%CI?
10. Q-test: identification of outliers
11. Chi-square test: goodness of fit for sample validation
INFERENTIAL STATISTICS
12. Data Scales (data types)
13. Nonparametric or Parametric Statistical Tests
14. Two Sample Means Comparison: the t-Test (Part I)
15. Two Sample Means Comparisons: the f-Test
16. Two Sample Means Comparisons: the t-Test (Part II)
17. Multiple Sample Means Comparisons: ANOVA test
NONLINEAR AND LINEAR REGRESSION
18. Non-linear regression (Sigmoidal dose-responses)
19. Linear regression (PROBIT)
EXPAND YOUR KNOWLEDGE with the other books in this series:
- PESTICIDES & BIOPESTICIDES: FORMULATION & MODE OF ACTION (THE LABCOAT GUIDE TO CROP PROTECTION Book 1)
- STRATEGIC R&D MANAGEMENT: AGCHEM & BIOSCIENCE (THE LABCOAT GUIDE TO CROP PROTECTION Book 2)
- GUIDE TO ESSENTIAL BIOSTATISTICS: AGCHEM & BIOSCIENCE (THE LABCOAT GUIDE TO CROP PROTECTION Book 3)
COMBINE & SAVE NOW! THE LABCOAT GUIDE TO CROP PROTECTION R&D: BOOKS I-III is the COMPILED version of the first three books in the LABCOAT GUIDE TO CROP PROTECTION series. Check out the link below, on this page!
GAIN A PROFESSIONAL INSIGHT INTO ESSENTIAL BIOSTATISTICS BY CLICKING THE "BUY NOW" BUTTON AT THE TOP OF THE PAGE!
REMEMBER: if you purchase any of the PRINT editions of these books on AMAZON, you are immediately eligible for a FREE download of the eBook version, providing access to high-resolution, zoomable color images.



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