DATA ANALYSIS 1 (A)
- Module code: MT121A
- Credits: 2.5
- Semester: 1
- Department: MATHEMATICS AND STATISTICS
- International:
 | Overview |
| | Module Objective:
To introduce students to Data Analysis.
About data: cases, variables, collecting data. Categorical data: frequency tables, barcharts. Contingency tables, conditional distributions, clustered and segmented barcharts. Quantitative data: stem and leaf diagrams, histograms, boxplots. Numerical summaries: mean, median, quartiles, IQR, standard deviation. Scatterplots, correlation, the regression line. |
 | Learning Outcomes |
| | On successful completion of the module, students should be able to: - Identify appropriate methods for collecting and collating data.
- Describe various types of data using numerical or graphical techniques.
- Interpret graphical and tabular data presentations.
- Find the regression line for a data set
- Use the Normal Distribution tables.
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| | Teaching & Learning methods |
| | - 12 lecture hours, 3 tutorial hours, 25 private study hours.
| Delivery methods | Hours | | Lectures | 12 | | Labs / Practicals | 0 | | Tutorials | 3 | | Planned learning activities | 0 | | Independent student activities | 25 | | Total | 40 | |
| | Assessment |
| | - Continuous Assessment detail(s): Continuous assessment 25%.
| Assessment type | Weighting | Duration | | Continuous Assessment | 25% | | | University scheduled written examination | 75% | 45 minutes | | Other | 0% | | | Total | 100% | 45 minutes | |
| | Repeat options |
| | - Continuous assessment mark is carried forward to the Autumn.
- University scheduled written examination (Autumn): 45 minutes
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