| CODE | TET3008 | ||||||||||||
| TITLE | Statistics for Technology | ||||||||||||
| UM LEVEL | 03 - Years 2, 3, 4 in Modular Undergraduate Course | ||||||||||||
| MQF LEVEL | 6 | ||||||||||||
| ECTS CREDITS | 4 | ||||||||||||
| DEPARTMENT | Technology and Entrepreneurship Education | ||||||||||||
| DESCRIPTION | The study of statistics facilitates the generation, interpretation, critique and communication of quantitative data. This study unit is intended to support the learner through activities of research and project implementation by supplying the mathematical tools necessary for the generation and thorough analysis of data. The topics included facilitate the following processes: presenting the mathematical descriptors for characteristic features of data and its distribution, quantifying the probability of an event, generating representative samples for different contexts, representing the key features of data graphically. Study-Unit Aims: 1. To present students with mathematical tools in order to be able to critique data; 2. To enable technology students to acquire essential concepts and techniques of statistics in relation to the technology course. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - interpret concepts related to frequency distribution, measures of location of data, measures of dispersion of data, techniques of counting, probability, probability distribution and the normal distribution. They will be able to apply these concepts in situations occurring in design and technology. 2. Skills: By the end of the study-unit the student will be able to: - display Numerical and Categorical distributions (Grouped frequency, Cumulative Frequency, Graphical Presentations (histograms, frequency polygon, cumulative frequency); - find the mean, weighted mean, median, fractiles, quartiles and percentiles; - measure range and interquartile range, variance, standard deviation, and apply standard deviation in practice; - work with tree diagrams, permutations and combinations; - find the probability of single and combined events (conditional and independent), apply principles of set theory, multiplication and addition theorems to find probability and expectation of the occurrence of events; - Interpret discrete and continuous random variables, work with the Binomial, Poisson and Normal Distributions. Main Text/s and any supplementary readings: - FREUND, J. E. & SIMON, G. A. 1997. Modern Elementary Statistics, Prentice Hall College Division. -SPIEGEL, M. & STEPHENS, L. 2014. Schaum's Outline of Statistics, Mc-Graw Hill. |
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| ADDITIONAL NOTES | Pre-requisite Study-unit: TET1008 | ||||||||||||
| STUDY-UNIT TYPE | Lecture and Tutorial | ||||||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Leonard Bezzina |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
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