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UNIVERSITY OF MUMBAI Certificate Course in Biostatistics (With effect from the academic year 2015-16) O _______________ Title : Certificate Course in Biostatistics O _______________ Eligibility : B.Pharm, B.Sc (Botany, Zoology, Chemistry, Biochemsitry, Biotechnology, Microbiology, Life Sciences), PhD’s and Pharmaceutical Professionals R _______________ Duration : 1 Year R _______________ Fee : Rs. 5,000/- R _______________ Intake Capacity : 40 Students R _______________ Theory : 12 Credits (180 Hrs) R _______________ Practical : 8 Credits (120 Hrs) R _______________ Examination : Examination Theory Practical Paper I Paper II Practical Total Marks : : : 50 Marks 50 Marks 100 Marks : 200 Passing Criteria: 40% Marks in Theory & Particals. The Grade Point table and the grade allocation shall be as per the Grade Table given below: GRADES MARKS O A B C D E F (Fail) 70 & Above 60 to 69.99 55 to 59.99 50 to 54.99 45 to 49.99 40 to 44.99 39.99 & Below GRADE POINTS 7 6 5 4 3 2 1 SGPA / CGPA 7 & Above 6 to 6.99 5 to 5.99 4 to 4.99 3 to 3.99 2 t0 2.99 1 to 1.99 Eligibility, No. of seats, sistribution of Credits to theory, practical, Passing and grading criteria are according to the guidelines given by UGC in XIth plan Infrastructure required: Well-equipped lecture rooms Library with relevant books Computer lab Internet Connectivity Laptop LCD Projector Licensed SPSS Software Staff requirement: A co-ordinator who will be responsible for the smooth conduct of the course. Co-ordinator of the course may be paid an Honorarium of Rs. 5000/- per year out of the seed money. A lectures and practicals can be conducted by the core faculty or visiting faculty having expertise in concerned field. Guest faculty/Internal faculty may be remunerated @ Rs. 250/ per lecture of 1 hour duration. Faculty must possess atleast a Bachelor’s Degree with a expertise in Respective filed. Faculties from industry and research institutes. Paper I 10 Credits Paper I (Theory) 6 Credits Unit I Introduction o Some definitions o The development of biostatistics o The statistical frame of mind Data in Biostatistics o Samples and populations o Variables in biostatistics o Accuracy and precision of data o Derived variables o Frequency distributions o The handling of data Descriptive Statistics o The arithmetic mean o Other means o The median o The mode o The range o The standard deviation o Sample statistics and parameters o Practical methods for computing mean and standard deviation o The coefficient of variation Unit II Introduction to Probability Distributions: The Binomial and Poisson Distributions o Probability, random sampling, and hypothesis testing o The binomial distribution o The Poisson distribution The Normal Probability Distribution o Frequency distributions of continuous variables o Derivation of the normal distribution o Properties of the normal distribution o Applications of the normal distribution o Departures from normality: Graphic methods Estimation and Hypothesis Testing o Distribution and variance of means o Distribution and variance of other statistics o Introduction to confidence limits o Student's t distribution o Confidence limits based on sample statistic o The chi-square distribution o Confidence limits fur variances o Introduction to hypothesis testing o Tests of simple hypotheses employing the t distribution o Testing the hypothesis Paper I (Practical) Practical’s will be based on the theory using Excel, SPSS & R Software 4 Credits Paper II 10 Credits Paper II (Theory) 6 Credits Unit I Introduction to Analysis of Variance o The variances of samples and their means o The F distribution o The hypothesis o Heterogeneity among sample means o Partitioning the total sum of squares and degrees of freedom o model I anova o model II anova Single-Classification Analysis of Variance o Computational formulas o Equal n o Unequal n o Two groups o Comparison among means: Planned comparisons o Comparison among means: Unplanned comparisons Two-Way Analysis of Variance o Two-way anova with replication o Two-way anova: Significance testing o Two-way anova without replication Assumptions of Analysis Of Variance o The assumptions of anova o Transformations o Nonparametric methods in lieu of anova Unit II REGRESSION o Introduction to regression o Models in regression o The linear regression equation o More than one value of Y for each value of X o Tests of significance in regression o The uses of regression o Residuals and transformations in regression o A nonparametric test for regression CORRELATION o Correlation and regression o The product-moment correlation coefficient o Significance tests in correlation o Applications of correlation o Kendall's coefficient of rank correlation ANALYSIS OF FREQUENCIES o Test for goodness of fit: Introduction o Single-classification goodness of fit tests. o Tests of independence: Two-way tables Paper II (Practical) Practical’s will be based on the theory using Excel, SPSS & R Software 4 Credits References: Introduction To Biostatistics Second Edition by Robert R. Sakal and F. James Rohlf, State University of New York at Stony Brook Introduction to Biostatistics Dr. Pranab Kumar Banerjee S. Chand Methods in Biostatistics Paperback – 2010 by B.K. Mahajan Fundamentals Of Biostatistics Paperback – 1994 by Khan Biostatistics Paperback – 1 Jan 2008 by G.N. Prabhakara Principles of Biostatistics with CD Perfect Paperback – 2007 by Pagano Using SPSS: An Interactive Hands - On Approach Paperback by B. James Cunningham Spss 17. 0 For Researchers Paperback – 2011 by Dr. S. L. Gupta Statistics for Research: With a Guide to SPSS Paperback –2012 by George Argyrous