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Statistics|Fourth semester |B.sc Ag

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  • Last Update October 26, 2019

Topics for this course

Poisson Distributions – properties, Normal Distributions- properties

Soil –Pedological and Edaphological concepts

Randomized blocks design – description – layout – analysis– advantages and disadvantages

Attributes- Contingency table – 2×2 contingency table – Test for independence of attributes – test for goodness of fit of mendalian ratio

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

Test of significance – Basic concepts – null hypothesis – alternative hypothesis – level of significance – Standard error and its importance – steps in testing

Sampling-basic concepts- sampling vs complete enumeration parameter and statistic-sampling methods-simple random sampling and stratified random samplingSampling-basic concepts- sampling vs complete enumeration parameter and statistic-sampling methods-simple random sampling and stratified random sampling

Regression – definition – fitting of simple linear regression equation – testing the significance of the regression coefficient

Completely randomized design – description – layout – analysis – advantages and disadvantages

Diagrammatic representation of data – uses and limitations – simple, Multiple, Component and percentage bar diagrams – pie chart

Measures of dispersion – Range, Variance -Standard deviation – co-efficient of variation – computation of the above statistics for raw and grouped data

Design of experiments – basic concepts – treatment – experimental unit –experimental error – basic principle – replication, randomization and local control

Correlation – definition – Scatter diagram -Pearson’s correlation co-efficient –properties of correlation coefficient

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