Measures of location, mean, mode, median, geometric mean, harmonic mean, percentiles and quadrilles for raw and grouped data. Dispersion: Range, standard deviation, variance, coefficient of variation for raw and grouped data.

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Probability: Basic concept, additive and multiplicative laws. Theoretical distributions, binominal, poisson and normal distributions Basic concepts, sampling

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Tests of significance: Basic concepts, tests for equality mean, and independent and paired t-tests, chi-square tests for application of attribute sand test for goodness to fit of mendalian ratios

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Correlation: Scatter diagram, correlation co-efficient and its properties, regression, fitting of simple linear regression, tests of significance of correlation and regression co-efficient.

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Introduction to design of experiment - Basic principles of experimental design-replication, randomization and local control. Analysis of variance-assumptions

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Transformations of data square root, logarithmic and angular transformations. Completely randomized design-Layout, analysis, advantages and limitations.

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Randomized block design-layout, analysis, choice of no. of blocks, advantages and limitations. Latin square designs-layout, analysis, applications, advantages and limitations.

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