Accessibility statement

# Quantitative Methods - MAN00011C

« Back to module search

• Department: The York Management School
• Module co-ordinator: Prof. Karen Mumford
• Credit value: 20 credits
• Credit level: C
• Academic year of delivery: 2021-22

## 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 cycle
A Spring Term 2021-22 to Summer Term 2021-22

## 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

## Assessment

Task Length % of module mark
Essay/coursework
Essay: 1500 Words
N/A 70
Practical
6 VLE quizzes
3 hours 30

None

### Reassessment

Task Length % of module mark
Essay/coursework
Essay: 1500 Words
N/A 100

## Module feedback

Feedback on the summative quizzes will be available after the quizzes have closed.

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.