Statistics for Chemical Engineers

At the end of this course, the students should be able to: 1. construct appropriate graphical displays of data and understand the role of such displays in data analysis; 2. perform statistical inference tasks using software and understand the calculations involved in such tasks and be aware of assumptions necessary for the validity of results; 3. use and interpret statistical software package such as MINITAB, Design Expert to summarise and analyse industry data; 4. make appropriate conclusions based on experimental results; 5. plan and execute an experimental program to determine the performance of a chemical engineering system; 6. evaluate the accuracy of the measurements taken; and 7. communicate the results of the investigation in a number of ways.

Chemical engineers must have an appreciation of the accuracy and reliability of measurements. This course provides a broad introductory knowledge of statistical techniques used in data analysis. It also seeks to link the measurement of various quantities with statistics to enable the analysis of the accuracy of the measurements. Statistical inference intervals, tests hypothesis and significance. Regression and correlation. Introduction to big data analytics and cloud computing applications. Students to have weekly or fortnightly computer laboratory-based assignments. 300 Level