Quantitative Methods - MAN00011C
- Department: The York Management School
- Credit value: 20 credits
- Credit level: C
- Academic year of delivery: 2022-23
Module summary
This course will introduce students to basic methods of empirical enquiry into Accounting, Finance and Management. The course will provide a solid foundation in statistical inference, enabling the student to become a competent producer of basic statistical research.
Module will run
Occurrence | Teaching period |
---|---|
A | Spring Term 2022-23 to Summer Term 2022-23 |
Module aims
This course will introduce students to basic methods of empirical enquiry into Accounting, Finance and Management. The course will provide a solid foundation in statistical inference, enabling the student to become a competent producer of basic statistical research. In addition the skills acquired will enable the student to become a somewhat more sophisticated consumer of more advanced research methodologies. It is also designed for students to appreciate the advantages and limitations of quantitative techniques.
Module learning outcomes
- Understand the detailed technical nature of quantitative techniques
- Appreciate and select from the different quantitative procedures used in the analysis of different data types
- Use computer packages for data analysis and interpret their output
Module content
Topic 1 – Measures and Charts
- Types of data (nominal, ordinal, discrete, continuous)
- Central tendency (mean, median and mode)
- Measures of spread (variance, standard deviation, IQR, range, coefficient of variation)
- Graphical and tabular presentation of different types data
Topic 2 – Price Indices
- Relative changes in price
- Inflation
- Simple and aggregate
- Correction for inflation
Topic 3 – Probability
- Basic and conditional probability (independence, mutual exclusivity)
- Frequency tables
- Bayes’ Theorem
Topic 4 – Statistical Distributions
- Concept of sampling distributions
- Ubiquity of normal distribution
- Computations involving probability and proportions using the standard tables.
Topic 5 – Sampling with Confidence
- Methods of sampling
- Concept of estimation and controlled errors
- The Central Limit Theorem
- Construction and interpretation of confidence intervals, both 1 and 2 tailed
- Determining sample size
Topic 6 – Basic Hypothesis Testing
- Null and alternate hypotheses
- False positives and false negatives
- Comparison of mean with estimate, of two means and of paired data
Topic 7 – ANOVA
- Need for ANOVA
- Calculation and interpretation of ANOVA
Topic 8 – Chi-squared
- Two types of chi-squared test
- Calculation and interpretation of chi-squared test
Topic 9 – Correlation and Regression
- Causality vs correlation
- Pearson’s correlation coefficient
- Interpretation of simple linear regression
Indicative assessment
Task | % of module mark |
---|---|
Closed/in-person Exam (Centrally scheduled) | 30 |
Essay/coursework | 70 |
Special assessment rules
None
Indicative reassessment
Task | % of module mark |
---|---|
Essay/coursework | 100 |
Module feedback
Feedback on the summative exam will be available after the exam has been marked; in early summer term
Feedback on the essay/assignment will be available after marking has been completed.
Feedback on the formative quizzes will be available immediately after submission of answers, but also in seminars if requested.
Indicative reading
Oakshott, L., (2020). Essential Quantitative Methods for Business, Management & Finance, 7th Edition, Palgrave.