Probability and Statistics: Biomedical Course Outline (BS322)
Course Outline
Descriptive Statistics: Basic definitions, Measures of central tendency and variation, Chebychev‟s theorem, zscores, Frequency distribution, Graphical representation of data stem & Leaf and Box Plots, Symmetry and skewness, Quintiles (Percentiles, Deciles & Quartiles)
Probability Theory: Basic definition and rules of probability, Conditional probability & Bayes‟s Theorem, Counting techniques.
Random Variable: Concept of random variable, Discrete & Continuous random variable and its random variable and variance of random variable and their properties.
Discrete & Continuous Probability Distributions: Uniform, Binomial, Multinomial, Hyper geometric, Negative binomial, Geometric, Poisson, Normal & Exponential distributions and their applications.
Sampling Theory: Sampling distribution of mean, tdistribution, and Sampling procedures.
Regression & Correlation: Linear, Exponential and Multiple Regression Models and Multiple Correlation Coefficient, ANOVA.
Statistical Inference: Estimation of parameters such as mean and variance, Classical and Bayesian method of estimation.
Hypothesis Testing: Ztest, ttest, and Goodness of fit test.
Recommended Books

Probability and statistics for engineers and scientists byCall Number: 519.02462 WALISBN: 9788131715529Publication Date: 2008


Schaum's outline of theory and problems of statistics byCall Number: 519.5 SPIISBN: 0077077067Publication Date: 1992
EBooks (Full Text)

by Fuller, Wayne A.
Date Published: 2009
Pages: 472 
by Kirkwood, Betty Sterne, Jonathan
Date Published: 2003
Pages: 513 
by Dukkipati, Rao V.
Date Published: 2013
Pages: 532