Course Title: Probability & Statistics (3 Cr.) 
Course Code: CAST202
Class Load: 5 Hrs. / Week (Theory: 3 Hrs, Tutorial: 1 Hr., Practical: I Hr.)

Unit I Introduction to Statistics

 Meaning. Scope and Limitations of Statistics. Types and Sources of Data, Methods and Problems of Collection of Primary and Secondary Data. 

Unit 2 Descriptive Statistics 

 Measure of Central Tendency (Arithmetic Mean, Median. Partition Values, Mode); Measure of Dispersion (Absolute and Relative Measures- Range, Quartile Deviation. Mean Deviation. Standard Deviation. and Coefficient of Variation) 

Unit 3 Correlation and Regression Analysis 

 Correlation: Definition, Scatter diagram. Karl Pearson's coefficient of correlation. Numerical problems for determination of Correlation Coefficients. Regression: Definition. Dependent and Independent Variables, Least Square method only, Numerical Problems. 

Unit 4 Probability

Definition of Probability, Two basic Laws of Probability( without proof). Conditional Probability: Probability Distributions (Binomial. Poisson and Normal); simple numerical problems. 

Unit 5 Sample Survey 

Concept of Population and Sample: Needs of Sampling: Censuses and Sample Survey; Basic Concept of Sampling: Organizational Aspect of Sample Survey, Questionnaire Design: Sample Selection and Determination of Sample Size, Sampling and Non Sampling Errors.

Unit 6 Sample Survey Methods

 Types of Sampling: Simple Random Sampling with and without Replacement Stratified Random Sampling; Ratio and Regression Method of Estimation under Simple and Stratified Random Sampling: Systematic Sampling; Cluster Sampling; Multistage Sampling; Probability Proportion to Size Sampling (PPS), Estimation of Population Total and its Variance. Sampling Distributions (t. x2
, z) and Related Problems. 

Unit 7 Design of Experiment

Concept of Analysis of Variance (ANOVA). F -Statistic and its Distribution, Linear Model in ANOVA, Analysis of One Way, Two Way Classification (1 and m observations per cell) in Fixed Effect Model.