ECON505 Business Economics and Data Analysis
The Complete Exam Bible · S2 2026ECON505 Overview
- AUT business and economics course offering
- Semester 2, 2026
- Level 5
- 15 points
- a Semester 2, 2026 course
ECON505 moves from data, probability, inference and regression to consumer choice, markets, aggregate indicators, policy and international economics. It is taught within AUT business and economics course offering. It is Level 5. It carries 15 points.
- Exam carries half The final examination is 50%, so cumulative retrieval and problem practice should start early.
- Parameter before formula Define population and variable units before computing a statistic.
- Association is not mechanism Regression evidence and economic explanation play different roles.
- Coverage boundary Later economics coverage is sequence-grounded but has lighter retrieved teaching depth.
How ECON505 is assessed
| Component | Weight | Format |
|---|---|---|
| Individual Report | 20% | After Topic 1, around Week 4; live Canvas controls the exact deadline |
| Problem-Solving Assignment | 30% | After Topics 2–4, around Week 8; live Canvas controls the exact deadline |
| Final Examination | 50% | Final examination period; exact date and operation TBA in retrieved source |
Canvas publishes an individual report 20% after Topic 1/around Week 4, a problem-solving assignment 30% after Topics 2–4/around Week 8, and a final examination 50% with date TBA. The overview requires an overall C−/50% to pass. No separate assessment hurdle was published in the retrieved surface.
What ECON505 covers
Start with Data, Distributions and Descriptive Evidence; use Consumer Choice and Budget Constraints as the turning point; finish by bringing the course together in Macroeconomic Indicators and Policy.
Data, Distributions and Descriptive Evidence
population · sample · standard deviation · summarise business data without hiding scale or distribution02Probability and the Normal Model
probability · normal distribution · z-score · compute and interpret a normal-model probability03Inference, Hypothesis Tests and Regression
null hypothesis · p-value · simple linear regression · estimate a relationship and report uncertainty without causal overreach04Consumer Choice and Budget Constraints
budget constraint · marginal utility · indifference curve · analyse a constrained consumer choice05Demand, Supply and Market Structure
price elasticity of demand · market equilibrium · market power · connect demand response and competitive structure to a pricing choice06Macroeconomic Indicators and Policy
real GDP · inflation · monetary policy · interpret aggregate evidence before making a policy claimIt is positioned as a Semester 2, 2026 course.
The sequence asks students to use statistical evidence before and alongside economic models, so an association must be separated from the incentive mechanism used for a business conclusion. The first half of the course builds evidence literacy through distributions, probability, inference and regression.
Consumer choice then supplies a constrained economic mechanism, followed by the scheduled demand, market-structure and macroeconomic applications. The retrieved teaching pack is deepest for statistics and consumer choice, so later chapters remain anchored to the live schedule and overview and do not pretend that unavailable lecture detail was recovered.
Strong answers state the population and variables, report uncertainty, distinguish association from mechanism and qualify a business or policy conclusion against alternative explanations.
A complete inference reports the estimand, data, estimate, uncertainty, economic mechanism and bounded conclusion.
Assessment in econ505 is distributed as follows: 20% individual report, 30% problem-solving assignment and 50% final examination.
The operational assessment conditions matter here.
Final examination worth 50%; date, duration, permitted resources and format are TBA in the retrieved evidence.
What makes econ505 demanding is concrete: Keeping statistical uncertainty, empirical association and economic mechanism separate while moving from a dataset to a consumer, market or policy recommendation.
An overall C−/50% is required.
The retrieved overview states assessment events are not compulsory unless expressly designated; no separate ECON505 hurdle was found.
For enrolment planning, No prerequisite is asserted from the retrieved public course capture.
Start with Data, Distributions and Descriptive Evidence; use Consumer Choice and Budget Constraints as the turning point; finish by bringing the course together in Macroeconomic Indicators and Policy.
Coverage note: retrieved teaching files are richer for statistics and consumer choice than later market and macro topics.
Test a price-and-sales claim
- 1Define the product, market, period and outcome units.
- 1Plot price and sales with other demand conditions.
- 1Estimate association with uncertainty.
- 1Use demand theory to state the proposed mechanism.
- 1Check promotion, seasonality and reverse-causality alternatives.
Key terms
- population
- Complete set of units about which an inference is intended. In this chapter it establishes the object needed to summarise business data without hiding scale or distribution.
- sample
- Observed subset used to estimate or describe the population. It becomes operational when the analysis must summarise business data without hiding scale or distribution.
- standard deviation
- Measure of typical dispersion around the mean in the data's units. Its interpretation stays bounded because a mean alone can misrepresent skew, outliers or subgroup differences.
- probability
- Numerical measure of uncertainty for an event under a stated model or process. In this chapter it establishes the object needed to compute and interpret a normal-model probability.
- normal distribution
- Symmetric bell-shaped distribution determined by mean and standard deviation. It becomes operational when the analysis must compute and interpret a normal-model probability.
- z-score
- Standardised distance of an observation from a mean in standard-deviation units. Its interpretation stays bounded because normality and stable parameters must be checked rather than assumed from convenience.
- null hypothesis
- Reference claim tested against sample evidence. In this chapter it establishes the object needed to estimate a relationship and report uncertainty without causal overreach.
- p-value
- Probability, under the null model, of a result at least as incompatible as observed. It becomes operational when the analysis must estimate a relationship and report uncertainty without causal overreach.
- simple linear regression
- Model relating a response mean to one predictor through an intercept and slope. Its interpretation stays bounded because statistical significance does not establish importance, causality or model adequacy.
- budget constraint
- Affordable combinations given income and prices. In this chapter it establishes the object needed to analyse a constrained consumer choice.
- marginal utility
- Additional utility associated with a small increase in consumption. It becomes operational when the analysis must analyse a constrained consumer choice.
- indifference curve
- Combinations yielding the same preference level in the consumer model. Its interpretation stays bounded because the model abstracts from information, behavioural and institutional constraints.
- price elasticity of demand
- Percentage response of quantity demanded to a one-percent price change. In this chapter it establishes the object needed to connect demand response and competitive structure to a pricing choice.
- market equilibrium
- Price-quantity combination at which planned demand and supply coincide. It becomes operational when the analysis must connect demand response and competitive structure to a pricing choice.
ECON505 FAQ
How is econ505 assessed?
20% individual report, 30% problem-solving assignment and 50% final examination.
What is the econ505 exam or final-task format?
Final examination worth 50%; date, duration, permitted resources and format are TBA in the retrieved evidence.
Does econ505 have a hurdle or component-level pass rule?
An overall C−/50% is required. The retrieved overview states assessment events are not compulsory unless expressly designated; no separate ECON505 hurdle was found.
Which offering does this econ505 guide cover?
It is aligned to Semester 2, 2026; confirm your enrolled class and timetable in the current institutional system.
What prerequisites or restrictions apply to econ505?
No prerequisite is asserted from the retrieved public course capture.
Is this econ505 resource an official university guide?
No. It is an independent econ505 study resource; current institutional instructions remain authoritative for assessment operation.
How should population be used in ECON505?
Complete set of units about which an inference is intended. In this chapter it establishes the object needed to summarise business data without hiding scale or distribution. Use it to summarise business data without hiding scale or distribution; remember that a mean alone can misrepresent skew, outliers or subgroup differences.
How should normal distribution be used in ECON505?
Symmetric bell-shaped distribution determined by mean and standard deviation. It becomes operational when the analysis must compute and interpret a normal-model probability. Use it to compute and interpret a normal-model probability; remember that normality and stable parameters must be checked rather than assumed from convenience.
How to study for the exam
Retrieve the course map, practise the recurring method—state the population, economic decision and observable variables, compute or estimate the relationship with units and assumptions, challenge it using uncertainty or a counterfactual and translate the result into a bounded business conclusion—on changed scenarios, and verify every operational assessment detail in the live institutional system.
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