Download Biostatistics (UG COC)

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/-
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Intake Capacity
:
40 Students
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Theory
:
12 Credits (180 Hrs)
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Practical
:
8 Credits (120 Hrs)
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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