OS2101 Analysis of Experimental Data

Introduction to statistical analysis of measurements and experimental data. Frequency distributions, graphical representation. Populations and sampling. Principle of least squares, estimation of mean and standard deviation. Curve fitting and regression, propagation of errors. Confidence intervals, tests and contingency tables. Elementary ANOVA. Relevant probabilistic concepts introduced as needed. Prerequisites: None.

Lecture Hours

4

Lab Hours

0

Quarter Offered

  • As Required