STAT 253 — Probability and Statistics
BSc BSc Materials Engineering · Kwame Nkrumah University of Science and Technology
The objective of the course is to provide basic understanding in the notion of probability theory and its application in statistics Content General introduction, including the uses and applications of statistics, types of data and their collection methods, stages of statistical investigation; Descriptive analysis of data including exploratory data analysis; Introductory study of probability theory: Sets and sample space, random experiments and outcomes, measure of probability of events, mutually exclusive and independent events, conditional probability and Bayes‘ theorem, Some basic rules/theorems of probability; Counting techniques and application to problems; Random variables and probability distributions (special discrete and continuous probability distributions); moments Mode of Delivery Lectures, tutorials, group activities, laboratory work and videos Reading Materials Devore, J. L. (2011). Probability and Statistics for Engineering and the Sciences . Cengage learning. HenkTijms, Understanding Probability, second edition, Cambridge University Press, 2007 Sheldon Ross First Course in Probability, 7th Edition Y.A. Rozanov Probability Theory: A Concise Course
- Credits
- 2
- Level
- Year Three
- Semester
- Semester One
Other courses on this programme
- ECON 151 — Elements of Economics
- EE 151 — Applied Electricity
- ENGL 157 — Communications Skills I
- ENGL 158 — Communication Skills II
- FC 181 — French for Communication Purposes
- MATH 151 — Algebra
- MATH 152 — Calculus with Analysis
- MATH 251 — Differential Equations
- MATH 252 — Calculus of Several Variables
- ME 159 — Technical Drawing
- ME 492 — Management and Entrepreneurship Development
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