Basic and Applied Agricultural Statistics (Theory & Practices + MCQs)

1    Introduction to Statistics and its Applications in Agriculture
2    Types of Data, Scales of Measurement, Summarization & Classification of Data
3    Frequency Distribution, Methods of Classification, Grouped & Ungrouped Data
4    Class Intervals, Class Limits & Types of Frequency Distribution
5    Diagrammatic Presentation of Data
6    Graphical Presentation of Data – Histogram, Frequency Polygon, and Ogives
7    Measures of Central Tendency
8    Geometric Mean, Harmonic Mean, Relationship between AM–GM–HM, and Median
9    Median and Mode – Concepts and Graphical Determination
10    Measures of Dispersion
11    Standard Deviation, Variance & Coefficients of Dispersion
12    Measures of Skewness and Kurtosis
13    Probability Theory and Normal Distribution
14    Classical, Empirical & Axiomatic Probability
15    Addition, Multiplication and Conditional Probability, Independent Events & Simple Problems
16    Random Variables & Normal Distribution
17    Correlation and Regression Analysis
18    Linear Regression Analysis
19    Tests of Significance
20    One-sample, Two-sample & Paired t-test, and F-test for Variance
21    ANOVA and Experimental Designs
22    Analysis of One-way Classified Data, Experimental Designs & Terminologies
23    Randomized Block Design (RBD)
24    Completely Randomized Design (CRD)
25    Latin Square Design (LSD)
26    Split-Plot Design (SPD)
27    Sampling Theory
28    Sampling Methods
29    Simple Random Sampling With Replacement  and Without Replacement
30    Use of Random Number Tables and Other Statistical Tables