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Book NameStatistics Book PDF
AuthorTNAU (ICAR)
Total Page175
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1DATA – DEFINITION – COLLECTION OF DATA – PRIMARY AND SECONDARY DATA – CLASSIFICATION OF DATA – QUALITATIVE AND QUANTITATIVE DATA.
2DIAGRAMMATIC REPRESENTATION OF DATA – USES AND LIMITATIONS – SIMPLE, MULTIPLE, COMPONENT AND PERCENTAGE BAR DIAGRAMS – PIE CHART
3GRAPHICAL REPRESENTATION – HISTOGRAM – FREQUENCY POLYGON AND FREQUENCY CURVE
4MEASURES 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
5MEASURES OF DISPERSION – RANGE, VARIANCE -STANDARD DEVIATION – CO-EFFICIENT OF VARIATION – COMPUTATION OF THE ABOVE STATISTICS FOR RAW AND GROUPED DATA
6PROBABILITY – BASIC CONCEPTS-TRIAL- EVENT-EQUALLY LIKELY- MUTUALLY EXCLUSIVE – INDEPENDENT EVENT, ADDITIVE AND MULTIPLICATIVE LAWS. THEORETICAL DISTRIBUTIONSDISCRETE AND CONTINUOUS DISTRIBUTIONS, BINOMIAL DISTRIBUTIONS-PROPERTIES
7POISSON DISTRIBUTIONS – PROPERTIES, NORMAL DISTRIBUTIONS- PROPERTIES
8SAMPLING-BASIC CONCEPTS- SAMPLING VS COMPLETE ENUMERATION PARAMETER AND STATISTIC-SAMPLING METHODS-SIMPLE RANDOM SAMPLING AND STRATIFIED RANDOM SAMPLING
9TEST OF SIGNIFICANCE – BASIC CONCEPTS – NULL HYPOTHESIS – ALTERNATIVE HYPOTHESIS – LEVEL OF SIGNIFICANCE – STANDARD ERROR AND ITS IMPORTANCE – STEPS IN TESTING
10T-TEST – DEFINITION – ASSUMPTIONS – TEST FOR EQUALITY OF TWO MEANS-INDEPENDENT AND PAIRED T TEST
11ATTRIBUTES- CONTINGENCY TABLE – 2X2 CONTINGENCY TABLE – TEST FOR INDEPENDENCE OF ATTRIBUTES – TEST FOR GOODNESS OF FIT OF MENDALIAN RATIO
12CORRELATION – DEFINITION – SCATTER DIAGRAM -PEARSON’S CORRELATION CO-EFFICIENT – PROPERTIES OF CORRELATION COEFFICIENT
13REGRESSION – DEFINITION – FITTING OF SIMPLE LINEAR REGRESSION EQUATION – TESTING THE SIGNIFICANCE OF THE REGRESSION COEFFICIENT
14DESIGN OF EXPERIMENTS – BASIC CONCEPTS – TREATMENT – EXPERIMENTAL UNIT – EXPERIMENTAL ERROR – BASIC PRINCIPLE – REPLICATION, RANDOMIZATION AND LOCAL CONTROL.
15COMPLETELY RANDOMIZED DESIGN – DESCRIPTION – LAYOUT – ANALYSIS – ADVANTAGES AND DISADVANTAGES
16RANDOMIZED BLOCKS DESIGN – DESCRIPTION – LAYOUT – ANALYSIS – ADVANTAGES AND DISADVANTAGES
17LATIN SQUARE DESIGN – DESCRIPTION – LAYOUT – ANALYSIS – ADVANTAGES AND DISADVANTAGES
18FACTORIAL EXPERIMENTS – FACTOR AND LEVELS – TYPES – SYMMETRICAL AND ASYMMETRICAL – SIMPLE, MAIN AND INTERACTION EFFECTS – ADVANTAGES AND DISADVANTAGES
1922 FACTORIAL EXPERIMENTS IN RBD – LAY OUT – ANALYSIS
2023 FACTORIAL EXPERIMENTS IN RBD – LAY OUT – ANALYSIS
21SPLIT PLOT DESIGN – LAYOUT – ANOVA TABLE
22STRIP PLOT DESIGN – LAYOUT – ANOVA TABLE
23LONG TERM EXPERIMENTS – ANOVA TABLE – GUARD ROWS – OPTIMUM PLOT SIZE – DETERMINATION METHODS

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Updated: 2021-03-23 — 3:47 pm

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