UNIVERSITY OF GLASGOW

STATS1002 Statistics 1Y: Introduction to Statistics: Learning from Data

Comprehensive Study and Exam Preparation Guide 2026

Part 01: Topic Summary and Exam Tips

Part 02: Exam Practice Questions and Answers

Part 03: Sample Final Examination Paper

Part 04: Detailed Solutions and Explanations

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University of Glasgow - STATS1002: Statistics 1Y Introduction to Statistics

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ACADEMIC YEAR 2026 - 2027

University	University of Glasgow
Course Code	STATS1002
Level	Level 1
Course Name	Statistics 1Y: Introduction to Statistics: Learning from Data
Notes Title	Comprehensive Study and Exam Prep. Guide
Page Length	60

This guide provides students with an excellent opportunity to familiarise themselves with the content and format of the updated final examination for STATS1002 - Statistics 1Y: Introduction to Statistics: Learning from Data at the University of Glasgow. It also offers a chance to practise useful exam techniques. The guide focuses on core exam questions and includes clear, simple diagrams that facilitate understanding and recall during the real exam. Thoroughly updated, this self-study set covers all topics included in the latest edition of the course, ensuring students are fully prepared to tackle the final examination with confidence.

STATS1002 - Statistics 1Y: Introduction to Statistics: Learning from Data introduces students to key ideas in probability and statistical inference, showing how these concepts apply to real-life situations through practical examples, including a case study. The course covers how to present data clearly, understand types of data, and apply fundamental statistical tools such as confidence intervals and hypothesis testing. Students will also learn to recognise and work with standard probability distributions (both discrete and continuous), and gain experience using statistical tables and a programming language for data analysis.

By the end of the course, students will be able to explain essential concepts such as natural variation, probability, conditional probability, independence, random variables, expected value, and variance. They will understand the differences between population and sample, parameter and estimate, and be able to interpret and create effective data displays. The course equips students to use statistical tools confidently, interpret interval estimates correctly, and appreciate the importance of data-driven reasoning in solving real-world problems.

COURSE CODE	COURSE NAME
ACCFIN1001	Introduction to Business Reporting and Financial Accounting
ACCFIN1003	Finance 1
ACCFIN1004	Financial Accounting 1
ACCFIN1006	Introduction to Management Accounting and Control
ACCFIN1016	Introduction to Finance, Investments and Institutions
ACCFIN2002	Finance 2
ACCFIN2003	Financial Accounting 2
ACCFIN2018	Statistical Analysis and Methods
ACCFIN4010	Capital Markets and Portfolio Management
ACCFIN4040	Derivative Securities
ACCFIN4070	Corporate Finance
ACCFIN4079	Econometric Methods for Accounting and Finance
ACCFIN4081	Financial Management
ECON1001	Economics 1A
ECON1002	Economics 1B
ECON2001	Economics 2A
ECON2002	Economics 2B
ECON4003	Econometrics 1: Introduction to Econometrics
ECON4004	Econometrics 2: Multiple Regression and Applications
MGT1025	Current Topics in Marketing

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University of Glasgow - STATS1002: Statistics 1Y Introduction to Statistics

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