EDITH COWAN UNIVERSITY 
MAT1114: Introductory Statistics 
Final Examination Guide and Notes 2026 
 
Part A: Topic Summary and Exam Tips 
Part B: Practice Exam Questions and Answers 
Part C: Sample Final Examination Paper 
Part D: Suggested Solutions to Final Exam Paper 
 
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Edith Cowan University - MAT1114: Introductory Statistics (Solutions)

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ACADEMIC YEAR 2025 - 2026

University	Edith Cowan University
School	Science
Unit Code	MAT1114
Unit Name	Introductory Statistics
Credit Points	15 CPs
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	61

If you are studying MAT1114: Introductory Statistics at Edith Cowan University, this complete guide keeps your revision focused and simple. It covers every examinable topic and explains key concepts in clear, simple language. It also explains how the final exam is organised and marked, and shows you the main question styles to expect. Inside, you’ll find exam-style questions with step-by-step solutions, straightforward explanations, and final-exam hints and tips, plus practical guidance on format, key marking points, timing, and model solutions to help you check your work.

This unit deals with the methods and skills of organising, summarising and presenting numerical data. The concepts of estimation and hypothesis testing are studied, with the emphasis on analysing real data. Calculators and statistical software are used throughout the unit.

✔ On completion of this unit students should be able to:

Apply appropriate summary statistics and graphical techniques to explore and display data.
Analyse data using appropriate statistical techniques.
Use calculators and statistical software to carry out statistical analysis.
Interpret statistical results and communicate them in a coherent written form.
Make appropriate inferences on populations of interest.

✔ Unit Content:

Exploratory Data Analysis: Organising, summarising, and presenting numerical data; exploring measures of central tendency and variability.
Probability Models: Introduction to probability models, including Poisson, binomial and normal distributions, along with the central limit theorem.
Inferential Statistics: Constructing confidence intervals and performing hypothesis tests for means and differences of means using the t-distribution.
Advanced Probability and Testing: Introduction to Analysis of Variance (ANOVA) for comparing multiple groups.
Correlation and Regression: Exploring correlation and conducting simple linear regression analysis for bivariate data.
Chi-square and Non-parametric Tests: Hypothesis tests for the Chi-square distribution (goodness of fit, test of association) and an introduction to non-parametric testing methods.

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ECF2222	Corporate Finance
ECF2226	Investment Finance
ECF3312	Financial Institutions Management
LAW1100	Introduction to Business Law
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Updated for 2026

Edith Cowan University - MAT1114: Introductory Statistics (Solutions)

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