Statistics Book PDF

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Statistics Book PDF

Statistics Book PDF

Book Name Statistics Book PDF
Author TNAU (ICAR)
Total Page 175
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Statistics Book PDF
1 DATA – DEFINITION – COLLECTION OF DATA – PRIMARY AND SECONDARY DATA – CLASSIFICATION OF DATA – QUALITATIVE AND QUANTITATIVE DATA.
2 DIAGRAMMATIC REPRESENTATION OF DATA – USES AND LIMITATIONS – SIMPLE, MULTIPLE, COMPONENT AND PERCENTAGE BAR DIAGRAMS – PIE CHART
3 GRAPHICAL REPRESENTATION – HISTOGRAM – FREQUENCY POLYGON AND FREQUENCY CURVE
4 MEASURES OF AVERAGES – MEAN – MEDIAN – MODE – GEOMETRIC MEAN – HARMONIC MEAN – COMPUTATION OF THE ABOVE STATISTICS FOR RAW AND GROUPED DATA – MERITS AND DEMERITS – MEASURES OF LOCATION – PERCENTILES – QUARTILES – COMPUTATION OF THE ABOVE STATISTICS FOR RAW AND GROUPED DATA
5 MEASURES OF DISPERSION – RANGE, VARIANCE -STANDARD DEVIATION – CO-EFFICIENT OF VARIATION – COMPUTATION OF THE ABOVE STATISTICS FOR RAW AND GROUPED DATA
6 PROBABILITY – BASIC CONCEPTS-TRIAL- EVENT-EQUALLY LIKELY- MUTUALLY EXCLUSIVE – INDEPENDENT EVENT, ADDITIVE AND MULTIPLICATIVE LAWS. THEORETICAL DISTRIBUTIONSDISCRETE AND CONTINUOUS DISTRIBUTIONS, BINOMIAL DISTRIBUTIONS-PROPERTIES
7 POISSON DISTRIBUTIONS – PROPERTIES, NORMAL DISTRIBUTIONS- PROPERTIES
8 SAMPLING-BASIC CONCEPTS- SAMPLING VS COMPLETE ENUMERATION PARAMETER AND STATISTIC-SAMPLING METHODS-SIMPLE RANDOM SAMPLING AND STRATIFIED RANDOM SAMPLING
9 TEST OF SIGNIFICANCE – BASIC CONCEPTS – NULL HYPOTHESIS – ALTERNATIVE HYPOTHESIS – LEVEL OF SIGNIFICANCE – STANDARD ERROR AND ITS IMPORTANCE – STEPS IN TESTING
10 T-TEST – DEFINITION – ASSUMPTIONS – TEST FOR EQUALITY OF TWO MEANS-INDEPENDENT AND PAIRED T TEST
11 ATTRIBUTES- CONTINGENCY TABLE – 2X2 CONTINGENCY TABLE – TEST FOR INDEPENDENCE OF ATTRIBUTES – TEST FOR GOODNESS OF FIT OF MENDALIAN RATIO
12 CORRELATION – DEFINITION – SCATTER DIAGRAM -PEARSON’S CORRELATION CO-EFFICIENT – PROPERTIES OF CORRELATION COEFFICIENT
13 REGRESSION – DEFINITION – FITTING OF SIMPLE LINEAR REGRESSION EQUATION – TESTING THE SIGNIFICANCE OF THE REGRESSION COEFFICIENT
14 DESIGN OF EXPERIMENTS – BASIC CONCEPTS – TREATMENT – EXPERIMENTAL UNIT – EXPERIMENTAL ERROR – BASIC PRINCIPLE – REPLICATION, RANDOMIZATION AND LOCAL CONTROL.
15 COMPLETELY RANDOMIZED DESIGN – DESCRIPTION – LAYOUT – ANALYSIS – ADVANTAGES AND DISADVANTAGES
16 RANDOMIZED BLOCKS DESIGN – DESCRIPTION – LAYOUT – ANALYSIS – ADVANTAGES AND DISADVANTAGES
17 LATIN SQUARE DESIGN – DESCRIPTION – LAYOUT – ANALYSIS – ADVANTAGES AND DISADVANTAGES
18 FACTORIAL EXPERIMENTS – FACTOR AND LEVELS – TYPES – SYMMETRICAL AND ASYMMETRICAL – SIMPLE, MAIN AND INTERACTION EFFECTS – ADVANTAGES AND DISADVANTAGES
19 22 FACTORIAL EXPERIMENTS IN RBD – LAY OUT – ANALYSIS
20 23 FACTORIAL EXPERIMENTS IN RBD – LAY OUT – ANALYSIS
21 SPLIT PLOT DESIGN – LAYOUT – ANOVA TABLE
22 STRIP PLOT DESIGN – LAYOUT – ANOVA TABLE
23 LONG TERM EXPERIMENTS – ANOVA TABLE – GUARD ROWS – OPTIMUM PLOT SIZE – DETERMINATION METHODS

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