Course Description:
A basic introduction to techniques for data visualization, and statistical reasoning.
Course Goals and Objectives:
To enable students to exploit relevant statistical techniques in experiment design and experimental research.
Course Topics:
Population and sample, frequency distributions, averages, medians, variances, data visualization; histograms, box plots.
The concept of probability as foreseeable relative frequency distribution, Sets and notation conventions; probability arithmetic, probability theorems, counting techniques.
Introductory design of experiments (DoE),
Risk and odds, confidence intervals, Hypothesis testing (Z, T tests), Correlation and regression, Analysis of Variance (AnoVa) and F-test.
The course aims to:
Students will acquire the relevant techniques for statistical data analysis and inference, and work with some of the relevant software (R, Excel, Matlab)
Reading Resources:
- Nematollahi, Engineering Statistics and probability, Dalfac publishing.
- Adams, Hand book of biological statistics
Evaluation
40% Finals
30% Midterms
15% Homework
15% Course project