DEPARTMENT OF MARINE LIVING RESOURCES, ANDHRA ...
DEPARTMENT OF MARINE LIVING RESOURCES, ANDHRA ... DEPARTMENT OF MARINE LIVING RESOURCES, ANDHRA ...
Department of Marine Living Resources Andhra University M.Sc. Marine Biology & Fisheries – I Semester Syllabus Paper 1.4 : Biostatistics Introduction to statistics : Sampling and sampling design Collection of primary and secondary data Classification and tabulation of data. Diagrammatic (one dimensional & two dimensional) representation of data. Graphical representation ( histogram, frequency polygon, frequency curve, and ogive curve) of data Measures of central tendency ( mean, median and mode). Measures of dispersion: standard deviation, standard error, variance, Skewness, kurtosis and moments. Correlation and regression analyses Probability and distributions. Estimation and testing of hypotheses; Tests of significance: Z test, t test, F test, Chi-square test, ANOVA (one way and two way), ANCOVA, multi-variate analyses Computer applications: Analyses of data using Microsoft Excel Applications of statistics in marine biology and fisheries: data collection analyses References: Arora & Malhan Biostatistics Himalaya Ramakrishnan Biostatistics Saras Gupta SC Statistical methods Sultan chand Sokal & Rohlf Biometry Freeman Jorgenson SE Fundamentals of ecological modelling Elsevier
Department of Marine Living Resources Andhra University M.Sc. Marine Biology & Fisheries – II Semester Syllabus Paper 2.1 : Estuaries & Coastal Zone Management Estuarine environment: Physico-chemical properties of estuaries; Classification of estuaries Distribution of estuarine plankton, nekton and benthos. Estuarine plants : Distribution of mangroves Estuarine birds and estuarine foodweb. Coastal Zone Management : Coastal resources : finfish, shellfish and non-living Resources and their management. Coastal Zone Regulations Remote sensing applications in coastal zone management References: Mc Lusky DS Ecology of estuaries Hinmann Green J Biology of estuarine animals S & J Carter RWG Coastal environments Academic Press Kinne O Marine Ecology John Wiley
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Department of Marine Living Resources<br />
Andhra University<br />
M.Sc. Marine Biology & Fisheries – I Semester Syllabus<br />
Paper 1.4 : Biostatistics<br />
Introduction to statistics : Sampling and sampling design<br />
Collection of primary and secondary data<br />
Classification and tabulation of data.<br />
Diagrammatic (one dimensional & two dimensional) representation of data.<br />
Graphical representation ( histogram, frequency polygon, frequency curve,<br />
and ogive curve) of data<br />
Measures of central tendency ( mean, median and mode).<br />
Measures of dispersion: standard deviation, standard error, variance,<br />
Skewness, kurtosis and moments.<br />
Correlation and regression analyses<br />
Probability and distributions.<br />
Estimation and testing of hypotheses; Tests of significance: Z test, t test,<br />
F test, Chi-square test, ANOVA (one way and two way),<br />
ANCOVA, multi-variate analyses<br />
Computer applications: Analyses of data using Microsoft Excel<br />
Applications of statistics in marine biology and fisheries: data collection analyses<br />
References:<br />
Arora & Malhan Biostatistics Himalaya<br />
Ramakrishnan Biostatistics Saras<br />
Gupta SC Statistical methods Sultan chand<br />
Sokal & Rohlf Biometry Freeman<br />
Jorgenson SE Fundamentals of ecological modelling Elsevier
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