ECO1009 : Analysing Economic Data
- Offered for Year: 2025/26
- Available to incoming Study Abroad and Exchange students
- Module Leader(s): Dr Xueqi Dong
- Owning School: Newcastle University Business School
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
To develop an understanding of statistical inference as a foundation for applied economics.
This module is an introduction to statistics and data analysis for economists and those in related disciplines. The module considers the basics of data analysis. We use a variety of statistical methods to investigate and interpret real world data. The module will also include an introduction to statistical analysis in R.
Outline Of Syllabus
Describing Data
Learning from Data
Graphical and Numerical Analysis of Data
Correlation versus Causation
Introduction to Regression Analysis
Multiple Regression
Statistical inference: Hypothesis Testing, Confidence Intervals, Prediction
An introduction to R
An introduction to probability theory
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 8 | 2:00 | 16:00 | PiP lectures |
| Guided Independent Study | Assessment preparation and completion | 1 | 30:00 | 30:00 | N/A |
| Guided Independent Study | Directed research and reading | 1 | 30:00 | 30:00 | N/A |
| Scheduled Learning And Teaching Activities | Small group teaching | 5 | 1:00 | 5:00 | PiP PC labs |
| Guided Independent Study | Independent study | 1 | 19:00 | 19:00 | N/A |
| Total | 100:00 |
Jointly Taught With
| Code | Title |
|---|---|
| ECO1007 | Statistical Methods for Economics |
Teaching Rationale And Relationship
Lectures deliver the main concepts.
PC labs provide students with an opportunity to enhance practical (computer-based) aspects of statistical analysis.
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 60 | 2 | A | 50 | When social-distancing measures prevent PiP invigilated examinations, this will be an online, time-limited PC exam. |
Exam Pairing Resits
| Module Code | Module Title | Comment |
|---|---|---|
| Statistical Methods for Economics | N/A |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 2 | M | 50 | Group Project - 2000 words (with peer review) |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Prob solv exercises | 1 | M | In-class tests, Canvas quizzes, homework exercises |
Assessment Rationale And Relationship
Written examination ensures learning of theoretical concepts and is an appropriate way to assess problem solving skills under the time constraint as required in industry.
Group project demonstrates that students can analyse and interpret real world data.
In the case of an alternative assessment for semester 2 (50% of the module mark) being necessary due to circumstances, the Module Leader will in discussion with the DPD and the University, discuss possible acceptable online alternatives, such as a take home exam delivered online with a set time limit to complete (24 hours or less as deemed appropriate).
RESIT INFORMATION: If students are eligible to a second attempt resit will be an exam and the resit calculation will be based 100% on the completed exam.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- ECO1009's Timetable