# Statistics and Computers for Animal and Veterinary Sciences: Fundamentals and Applications

## Hardcover

\$113.16
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## Overview

The present book has been well prepared to meet the requirements of the students of Animal and Veterinary Science, Animal Biotechnology and other related fields. The book will serve as a text book not only for students in Veterinary science but also for those who want to know “What statistics in all about” or who need to be familiar with at least the language and fundamental concepts of statistics. The book will serve well to build necessary background for those who will take more advanced courses in statistics including the specialized applications. The salient features are: The book has been designed in accordance with the new VCI syllabus, 2016 (MSVE-2016). The book will be very useful for students of SAU's/ICAR institutes and those preparing for JRF/SRF/various competitive examinations. Each chapter of this book contains complete self explanatory theory and a fairly number of solved examples. Solved examples for each topic are given in an elegant and more interesting way to make the users understand them easily. Subject matter has been explained in a simple way that the students can easily understand and feel encouraged to solve questions themselves given in unsolved problems.

## Product Details

ISBN-13: 9789386546555 NEW INDIA PUBLISHING AGENCY- NIPA 08/20/2017 212 6.00(w) x 9.00(h) x 0.69(d)

Incharge, Department of Animal Genetics and Breeding, College of Veterinary Science and Animal Husbandry, U.P. Pandit Deen Dayal Upadhyay Pashu Chikitsa Vigyan Vishwavidyalaya Evam Go Anusandhan Sansthan, Uttar Pradesh, Mathura, India

1. Classification and Tabulation

1.1 Classification

1.2 Tabulation of Data

1.3 Frequency Distribution or Grouped Data

2. Measures of Central Tendency

2.1 Arithmetic Mean (A.M.)

2.2 Geometric Mean (G.M)

2.3 Harmonic Mean (H.M.)

2.4 Weighted Mean (W.M)

2.5 Median (Md)

2.6 Mode (M0)

3. Measures of Dispersion

3.1 Range

3.2 Mean Deviation (M.D.)

3.3 Standard Deviation (S.D.)

3.4 Standard Error (S.E.)

3.5 Coefficient of Variation (C.V.)

4. Diagrammatic Representation of Data

4.1 Diagrammatic Representation of Data

5. Graphical Representation of Data

5.1 Graphical Representation of Data

6. Correlation and Regression

6.1 Correlation

6.2 Regression

7. Probability

7.1 Introduction

7.2 Definition

7.3 Theorems of Probability

8. Normal Distribution

8.1 Introduction

8.2 Definition

8.3 Standard Normal Variable (S.N.V.)

9. Tests of Hypothesis

9.1 Introduction

9.2 Level of Significance

9.3 Critical Region

9.4 Degree of Freedom

9.5 Procedure of Hypothesis Testing

9.6 Large Sample Test (Z-test)

10. Small Sample Tests (t-test)

10.1 Introduction

10.2 Student’s t-distribution

10.3 Application of t-distribution

11. Chi-square Test

11.1 Introduction

11.2 Chi-square Distribution

11.3 Application of c2-Distribution

12. F - Test

12.1 Introduction

12.2 Application of F-test

12.3 Analysis of Variance

12.4 Critical Difference Test (CD-test)

13. Design of Experiment

13.1 Introduction

13.2 Completely Randomized Design (CRD

13.3 Randomized Block Design (RBD)

14. Computer Basics and Components of Computer

14.1 Computer

14.2 Operating System

14.3 Windows

14.4 Shortcut Icons on the Desktop

14.5 Windows .

14.6 Working with Files and Folders

15. Computer Networks

15.1 Computer Network

15.2 Important Terms used in Internet

16. Entering and Saving Biological Data Through MS-Excel

16.1 Entering Biological Data into Computer

16.2 Saving Biological Data into Computer

16.3 Database Concepts Using MS-Excel

16.4 MS-Excel

16.5 Working with the Excel Environment

16.8 Worksheet Views

16.9 Backstage View

16.10 To Access Backstage View

16.11 Starting MS-Excel

16.12 EXCEL’s Range Selection Techniques

16.13 First Sheet: Last Sheet! UL Corner: LR Corner

16.14 Defining Range Names using Worksheet Text

16.15 Working with Charts

16.16 Basic Rules for Using Excel Formulas

16.17 Mathematical Order of Operations

17. Unsolved Problems

Appendix