Available to incoming Study Abroad and Exchange students
Module Leader(s): Dr Grega Smrkolj
Lecturer: Dr Saumik Paul
Owning School: Newcastle University Business School
Teaching Location: Newcastle City Campus
Semesters
Semester 2 Credit Value:
10
ECTS Credits:
5.0
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 software.
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 for Regression: Hypothesis Testing, Confidence Intervals, Prediction
Nonlinear Models
Estimation Problems
An introduction to Stata
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
32:00
32:00
N/A
Scheduled Learning And Teaching Activities
Small group teaching
3
1:00
3:00
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.
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).
