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Contents
Front Matter
Introduction
1.
Introduction to Statistics and its Importance
2.
Data and its Type
3.
Measurement Scales
4.
Diagrammatic and Graphical Representation of Data I
5.
Diagrammatic and Graphical Representation of Data II
6.
Central Tendency Measures-I
7.
Central Tendency Measures-II
8.
Measures of Dispersion I
9.
Measures of Dispersion II with Skewness and Kurtosis
10.
Introduction to Probability
11.
Addition and Multiplication Properties of Probability Theory
12.
Introduction to Bayes Theorem
13.
Introduction to Random Variable and its Properties
14.
Introduction to Discrete Probability Distributions
15.
Introduction to Continuous Probability Distributions
16.
Concepts of Population, Sample and Confidence Interval
17.
Statistical Hypothesis Testing and P Values
18.
t-Distribution and tests of significance based on t-distribution
19.
F-distribution and tests of significance based on F distribution
20.
Chi Square (χ2)Distribution and tests of significance based on χ2
21.
Introduction to Matrices and Matrix Algebra
22.
Determinants and its Properties
23.
Applications of Determinants
24.
Inverse of a Matrix and its Application in Solving System of Linear Equations
25.
Basic Principles of Experimental Design
26.
Completely Randomized Design-I
27.
Completely Randomized Design-II
28.
Randomized Block Design and Latin Square Design
29.
Introduction to Time Series Analysis and its Importance
30.
Measurement of Secular Trend
31.
Measurement of Seasonal, Cyclic and Irregular Variation
32.
Introduction to Stationary Time Series
33.
Introduction to Non-Stationary Time Series
34.
Box-Jenkins Methodology
Back Matter
Appendix
Statistical Applications in Environmental Sciences
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