Course details of CS 215 - Data Analysis and Interpretation

Course Name Data Analysis and Interpretation
Total Credits 6
Type T
Lecture 3
Tutorial 0
Practical 0
Selfstudy 0
Half Semester N
Prerequisite
Text Reference Introduction to Probability and Statistics for Engineers and Scientists by Sheldon M. Ross, Elsevier, New Delhi, 3rd edition (Indian). Probability, Random Variables and Stochastic processes by Papoulis and Pillai, 4th Edition, Tata McGraw Hill. An Introduction to Probability Theory and Its Applications, Vol. 1, William Feller, 3rd edition, Wiley International
Description The role of statisitcs. Graphical and numerical methods for describing and summarising data. Probability. Population distributions. Sampling variability and sampling distributions. Estimation using a single sample. Hypothesis testing a single sample. Comparing two populations or treatments. Simple linear regression and correlation. Case studies.
Last Update 24-02-2015 11:41:19.223822