4SSPP109 Quantitative Methods Essay Assignment – UK

 

This course introduces students to the basic methods of empirical inquiry into Accounting, Finance and management. The course will give students a solid background in statistical inference and enable them to produce basic statistical research.

4SSPP109 Quantitative Methods Essay Assignment – UK

This course introduces students to the basic methods of empirical inquiry into Accounting, Finance, and management. The course will give students a solid grounding in statistical inference and enable them to produce basic statistical research with confidence. The skills learned will also enable the student to become a more sophisticated user of advanced research methods. The course is designed to help students understand the limitations and advantages of quantitative techniques.

Module Learning Outcomes

* Know the technical details of quantitative techniques

* Understand and select the different quantitative methods used to analyze different data types

* Interpret the output of computer programs for data analysis.

Module Content

Topic 1: Measurements and Charts

* Types (nominal, ordinal discrete and continuous data)

* Central tendency

* Measures for spread (standard deviation, variance, IQR range, coefficient of variability)

Data can be presented in a variety of ways, including graphically and as tabular data.

Topic 2: Price Indices

Price changes relative to each other

* Inflation

* Simple and aggregate

* Correction for inflation

Topic 3: Probability

* Basic and conditional probabilities (independence, mutual exclusiveness)

Frequency Tables

* Bayes Theorem

Topic 4: Statistical Distributions

* Concept of sampling distributions

* The ubiquity of the normal distribution

Calculations involving probabilities and proportions can be done using standard tables.

Topic 5 - Sampling Confidence

Sample collection methods

* Concepts of estimation and controlled error

The Central Limit Theorem

* Interpretation and construction of confidence intervals for both the 1 and 2 tail

* Determining sample size

Topic 6: Basic Hypothesis Testing

* Alternative hypotheses and null hypotheses

False Positives and False Negatives

* Comparison between mean and estimate, two means or paired data

Topic 7 - ANOVA

Need for ANOVA

ANOVA: Calculation and interpretation

Topic 8 - Chi-squared

There are two types of Chi-squared tests

* Calculation and interpretation of chi-squared test

Topic 9: Correlation and regression

* Causality and correlation

Pearson's Correlation coefficient

Simple linear regression: Interpretation