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620-001 Statistics for Engineers | |
Note | This subject is not available to BSc students and does not count for Science points in any combined Science/Engineering course. Students may not gain credit for any of 620-131, 620-140, 620-160 after having completed 620-001. |
Credit Points | 7.14 |
Coordinator | Associate Professor R Watson |
Semester | 1 and 2 (view timetable) |
Contact | 24 hours of lectures (two per week) and 12 hours of tutorials (one per week) |
Subject Description | This subject introduces the fundamental concepts of probability and statistical inference. Students should develop the ability to use simple probability models in applications to standard situations and to carry out standard statistical analyses. This subject shows the breadth of application of statistics and the important role statistics has in quality improvement, and covers the following topics. Basic probability theory. Simple probability models (including Bernoulli trials, Poisson processes, sampling models); random variables and descriptions of their probability distributions; simple distribution theory, including binomial, Poisson and normal distributions. Acceptance sampling. Exploratory data analysis. Random sampling and properties of random samples. Introduction to statistical inference: estimation, confidence intervals and hypothesis testing in standard situations based on the binomial and normal distributions. Control charts. Linear regression and prediction. The principles of experimental design and the analysis of some simple designed experiments. |
Assessment | Up to 50 pages of assignments and a 3-hour end-of semester written examination. |
Search : Index : Faculty of Science : Mathematics and Statistics
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Next 620-005 Probability for Electrical Engineers
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