June 23, 2007

XX 102: Data Analysis and Interpretation   (2-1-0-6)
This course will help ask, design the experiment and then answer questions
of the following kind. (1) Which of the two department stores is less
expensive. (2) Given the responses from a student survey, is the curriculum
satisfying the students needs. (3) The effectiveness of a new drug vis-a-vis
existing drugs given the treatment responses. (4) A sample is extracted from
a manufacturing line and tested for conformity with specifications. With
that confidence can we assert that a product of this batch conforms to the
specifications.
Sources of data, data representation, measurement of data, gathering of data
and design of experiments; errors in measurement bias and random error;
multivariate data and regression; posing statistical hypothesis.
Elementary probability and statistics ( random variables, distribution,
central limit theorem), population sampling, confidence intervals;
elementary hypothesis testing; exposure to standard models of physical
processes, parameter estimation using least squares.

Text/References
1. Douglas C. Montgomery, G. C. Runger, Applied Statistics and Probability
for Engineers, John Wiley and Sons, 2003.
2. A. M. Mood and F. A. Graybill, An introduction to the Theory of
Statistics, Prentice Hall of India, 1963.
3. P. G. Hoel, S. C. Port and C. J. Stone, Introduction to Statistical
Theory, Houghton Miffin, 1971.