- UCAS course code
- UCAS institution code
BSc International Business, Finance and Economics with Industrial/Professional Experience
Year of entry: 2020
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Course unit details:
|Unit level||Level 2|
|Teaching period(s)||Semester 2|
|Available as a free choice unit?||Yes|
Introduction to fundamental methods of statistics, which are the basis of techniques widely used in the analysis of economic and social data. The module is designed for students who have Maths A-Level or equivalent.
|Unit title||Unit code||Requirement type||Description|
|Introductory Statistics for Economists||SOST10062||Pre-Requisite||Compulsory|
SOST10062 Intro Stats for Economists
Introduction to fundamental methods of statistics, which are the basis of techniques widely used in the analysis of economic and social data. The course is designed for students who have Maths A-Level or equivalent.
At the end of this course, you should be able to:
- Construct and understand essential descriptive statistics for sample data (means, variances, correlations, regression coefficients).
- Manipulate conditional and unconditional probability.
- Obtain and manipulate probabilities from important statistical distributions (including the Binomial, Normal and Student-t).
- Understand and use key statistical concepts (including population, expectation, estimation).
- Construct and interpret confidence intervals for population means and proportions.
- Carry out and interpret simple hypothesis tests of relevance in the social sciences.
1. Introduction and Descriptive Statistics.
2. Probability and Discrete Random Variables (means and variances).
3. Continuous Random Variables (means, variances, Normal distribution).
4. Expectations and Combinations of Variables (means, variances, joint probability distributions,
covariances, correlation, independence).
5. Sampling Distributions (samples, populations, properties).
6. Hypothesis Testing (sample means and proportions, large sample tests).
7. More Statistical Inference (confidence intervals, p-values).
Teaching and learning methods
Lectures and exercise classes.
- Analytical skills
- Synthesis and analysis of data and information.
- Problem solving
- Numeracy. Time Management.
- Weekly exercise classes.
- Online quizzes.
- PASS groups.
All students are expected to download the detailed module notes. These form the basis of the lecture and tutorial material.
Many introductory statistics books cover the material in the module. Multiple copies of the following texts are available in the Main and Precinct Centre libraries:
Newbold, Carlson and Thorne (2009), Statistics for Business and Economics ,
Wonnacott and Wonnacott (1990), Introductory Statistics for Business and Economics
|Independent study hours|
|Simon Peters||Unit coordinator|