Undergraduate TAS-BEA140-2023

Data Analysis for Business

From

$2,522 $0

Your upfront cost: $0

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Duration

14 weeks

Study method

100% Online

Available loans

HECS-HELP
FEE-HELP

Assessments

Subjects may require attendance

Prior study

Not required

Start dates

22 May 2023
10 Jul 2023

Australia’s fourth oldest university, the University of Tasmania, is highly regarded internationally for teaching and academic excellence. The university offers more than 100 undergraduate degrees and more than 50 postgraduate programs across a range of disciplines. The university offers students a diverse range of opportunities, the chance to learn from leading experts, and excellent preparation for their future careers.

QS RANKING 2022

Times Higher Education Ranking 2022

2023

Subject details

What you'll learn

Upon completion of this subject, the student should be able to:

Apply basic concepts of time valuation of money to common situations in business/personal finance
Inform and communicate evidence-based decisions using data description and probability concepts
Draw conclusions and communicate properties about sample populations
Quantify an association between two variables, explain variation and improve outcome prediction.

Topics covered

- Week 1 - Introduction to subject. Introduction to mathematics of finance. Interest, present and future values of a single amount, solution for time and interest rate. Effective and equivalent rates.
- Week 2 - Perpetuities. Introduction to simple annuities. Solving for R, N, i. Partial payments.
- Week 3 - Amortization & sinking funds (including dealing with changes in interest rate, missed/extra payments), ‘flat rate’ problems.
- Week 4 - The statistical process. Sources of data. Sources of error and bias. Types of sampling. Types of variable. Computing activity: Excel basics-Videos.
- Week 5 - Univariate statistics (mean, median, mode, standard deviation, variance, range, IQR, percentiles). Plots for univariate data (pie-charts, bars, stem & leaf plots, histograms). Measuring grouped data. Computing activity: Pivot Tables in Excel-Videos
- Week 6 - Working with bivariate data. Scatterplots. Computing and interpreting the correlation coefficient. Basics of linear regression. Computing activity: Regression in Excel-Videos
- Week 7 - Forum (More details available in preceding weeks)-All material from first six weeks
- Week 8 - Probability - concepts, laws, trees and tables, independence, Bayes' rule.
- Week 9 - Discrete Probability Distributions - expectations, Poisson, binomial. Continuous Probability Distributions; normal, z-scores, approximations of the binomial and Poisson by the normal.
- Week 10 - Sampling Distributions - sampling distribution of means, sampling of proportions, Central Limit Theorem, finite population correction factor, the Student's t distribution.
- Week 11 - Estimation & Inference Estimation - point & interval estimates, determination of optimal sample size, Inference - one sample tests of mean and proportion, types of error, one and two tailed tests, significance
- Week 12 - Bi-variate Inference - Chi-squared test for independence. Tests for existence of linear relationship, confidence interval for slope
- Week 13 - Subject Review and Exam Preview

Entry requirements

No eligibility requirements

Additional requirements

No additional requirements

Description

BEA140 is a foundation subject in business statistics and the mathematics of finance, and is a core subject in the Bachelor of Economics (BEc) and Bachelor of Business (BBus) degrees. It is also a nominated elective in a wide range of other programs throughout the University of Tasmania.

This subject is intended to provide a background capacity in mathematics of finance and statistical description and analysis, appropriate for a business student. The focus of the subject is on the practical use of data in business and economic decision environments, especially in an environment of risk and uncertainty.

By studying a variety of examples based on real world problems, the subject highlights the application of quantitative methodologies to assist managers, and decision makers, in dimensioning and communicating risks and opportunities.

Assessments

Online Skill Checks (18%)
Test or quiz (32%)
The Final Examination (20%)
Assignment (30%)

Textbooks

Current study term: 10 Jul 22 to 16 Oct 22

Check the learning management system (LMS) of your university for textbook details.

Next study term: 21 May 23 to 20 Aug 23

Check the learning management system (LMS) of your university for textbook details.

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