VPM’s ADVANCED
STUDY CENTRE
Conducts
POST
GRADUATE DIPLOMA COURSE IN
STATISTICS
Scope and importance:
Statistics for "Life Sciences" presents the key concepts of statistics as applied to life sciences, while incorporating tools and themes of modern data analysis.
Biostatistics is an important part of under graduate and post graduate syllabus of life sciences and medicine because statistical analysis has become obligatory in all types of studies and researches including those on environment, toxicological, physiological, epidemiological and other aspects. Such analysis gives a better understanding of the data and helps in drawing a proper conclusion. It has become a necessity for publication of data in the standard national and international journals.
This Course will be useful to the research students and teachers to understand the basics of the statistical techniques used in the field of life science. It is beneficial to the research students in the filed of biology, environmental studies, toxicological studies, clinical research, medical studies, biochemistry as well as to the biological teachers of biostatistics. The Course is designed to benefit researcher to understand the statistical applications used in research papers and references. It will also help in preparing own research paper applying confidentially suitable tests / analyses. Now a day for publishing a paper in international standard journals, statistical analysis of data is a must.
Details:
Duration : 6 months
Timings : 6.00 to 8.00 pm (3 days a week)
Commencement : July / August
Eligibility : for Research Students and Teachers
Syllabus
PAPER - I 100 marks
Descriptive Statistics
1. Introduction:
Collection of data, Classification of data, Tabulation of data
Data and its types
Diagrammatic representation of data - bar diagram, rectangle, square, pie
diagram
Graphical representation of data - frequency curves, histogram, ogive
2. Measures of central tendency - mean, median, mode, quartiles and percentiles
3. Measures of dispersion - range, standard deviation, coefficient of variation
4. Measures of skewness and kurtosis
5. Ecological indices
6. Bivariate data - classification and tabulation, correlation and regression,
coefficient of determination
7. Multivariate data - partial and multiple correlation
8. Analysis of variance - completely randomised designs, randomized block
designs
9. Logistic regression
10. Cluster analysis - dendrogram and its interpretation
11. M. D. S. plot and its interpretation
PAPER - II 100 marks
Probability and Inference
1. Probability - definition, addition
and multiplication rules, odds ratios, type of events
2. Distribution - descrete distributions - bionominal, Poisson uniform, continuous
distribution - uniform (rectangular), exponential, normal
3. Central limit theorem
4. Sampling distribution of sample mean, sample proportion
5. Testing of hypothesis - type I error, type II error, level of significance,
'p' value
6. Large sample test - test for population mean, comparison between two population
means, population proportion, comparison between two population proportions
7. Concept of t, F, chi square distribution.
Small sample test
t test for population mean, population proportion, comparison between two
population means, test for correlation coefficient
Chi square test for testing population variance
F test for comparing variations in two samples
Other applications of chi square: a) test for goodness of fit b) test for
independence of attributes
8. Estimation - point estimation, interval estimation, confidence interval,
confidence level, margin of error
PRACTICALS 100 marks
Practical will be conducted on all above theory topics
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VPM's
ADVANCED STUDY CENTRE
C/o. B. N. BANDODKAR COLLEGE OF SCIENCE,
THANE COLLEGE CAMPUS, NR. CIDCO BUS STOP,
THANE (W). 400 602. MAHARASHTRA. INDIA.
Tel: (91-22) 25339871
Visit us: www. vpmthane.org E-mail
: vpmt@vsnl.net