A probability distribution is a table or an equation that links each outcome of a statistical experiment with its probability of occurrence.

**Descriptive Statistics:** Basic definitions, Measures of central tendency and variation, Chebychev‟s theorem, z-scores, 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, t-distribution, 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:** Z-test, t-test, and Goodness of fit test.

- 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

- Sampling Statisticsby Fuller, Wayne A.

Date Published: 2009

Pages: 472 - Essential Medical Statisticsby Kirkwood, Betty Sterne, Jonathan

Date Published: 2003

Pages: 513 - Probability and Statistics : For Scientists and Engineersby Dukkipati, Rao V.

Date Published: 2013

Pages: 532