SP22020: Quantitative data analysis: the power of statistics
[Page last updated: 09 August 2024]
| Academic Year: | 2024/25 |
| Owning Department/School: | Department of Social & Policy Sciences |
| Credits: | 10 [equivalent to 20 CATS credits] |
| Notional Study Hours: | 200 |
| Level: | Intermediate (FHEQ level 5) |
| Period: |
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| Assessment Summary: | CWRI 40%, EXCB 60% |
| Assessment Detail: |
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| Supplementary Assessment: |
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| Requisites: | Before taking this module you must take SP22020 |
| Learning Outcomes: |
By the end of the unit students will be able to:
1. Identify and produce different types of statistics (descriptive, inferential) and their corresponding measures of central tendency and dispersion
2. Identify and assess different types of sampling
3. Appreciate the centrality of normal distribution in the interpretation of various statistical tests, the concept of statistical significance, and the differences between statistical tests of significance and tests of association
4. Perform tests of significance and tests of association for nominal and ordinal variables
5. Analyse the variance of variables between two or more samples
6. Explore the strength of association between continuous variables from the same sample
7. Model relationships between two and more than two variables by performing different types of regression analysis |
| Synopsis: | Develop your knowledge, practical skills and competence in analysing quantitative data.
You'll study key topics such as:
- the differences between descriptive and inferential statistics
- the processes of generating samples and the concept of normal distribution
- tests of significance and tests of association for nominal, ordinal and scale variables
- methods of analysing variance between multiple samples, techniques of modelling relationships using simple and multiple regression.
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| Content: | The purpose of this unit is to develop further the students' knowledge, practical skills and competence in analyzing quantitative data. Key topics introduced include: the differences between descriptive and inferential statistics; the processes of generating samples and the concept of normal distribution; tests of significance and tests of association for nominal, ordinal and scale variables; methods of analysing variance between multiple samples, techniques of modelling relationships using simple and multiple regression. This unit aims to consolidate students' competence to work with quantitative data by employing some of the most commonly used techniques of quantitative data analysis |
| Course availability: |
SP22020 is Compulsory on the following courses:Department of Social & Policy Sciences
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Notes:
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