UNIVERSITY OF LEEDS 
MATH0365: Foundation Probability and Statistics 
Final Examination Guide and Notes 2025 
 
Part A: Topic Summary and Exam Tips 
Part B: Exam Practice Questions and Answers 
Part C: Sample Final Examination Paper 
Part D: Suggested Solutions to Final Exam Paper 
 
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University of Leeds

University of Leeds - MATH0365: Foundation Probability and Statistics

£35.00

ACADEMIC YEAR 2024 - 2025

University	University of Leeds
Study Level	Undergraduate
Module Code	MATH0365
Module Name	Foundation Probability and Statistics
Notes Title	Final Examination Guide and Notes
Page Length	67

Prepare for the exam with the most complete study guide available for the MATH0365: Foundation Probability and Statistics, University of Leeds - including exam-style questions, and advice on common examination pitfalls. These notes provide support for learning and revision throughout the module. This self-study set has been thoroughly updated to cover all the topics contained in the latest edition of the exam. The key skills are demonstrated in the context of the core topics of study with expertly written example sets of notes, followed by opportunities to learn and test your knowledge with the sample exam paper and answer key. This guide will help you to take the final examination with complete confidence.

The MATH0365: Foundation Probability and Statistics module equips you with the statistical and probabilistic tools necessary to analyse business and economic data. Through this module, you'll gain hands-on experience in processing data to generate informative visualisations like histograms. You'll also develop the ability to calculate key statistical measures like mean, median, and standard deviation (as demonstrated here: mean = μ, median = M, standard deviation = σ) which are crucial for understanding the central tendency and variability of data. Furthermore, the module introduces you to concepts like probability distributions, specifically the binomial distribution, which equip you to analyse the likelihood of events in business and economic settings.

Main topics to be covered:

Data summary:
- Histograms
- Stem-and-leaf diagrams
- Box plots
Measures of location and dispersion
Probability:
- Sample space
- Exclusive and complementary events
- Conditional probability
- Independent events
Discrete random variables:
- Probability function
- Cumulative distribution function
- Expectation and variance
Binomial and Poisson distributions
Normal distribution:
- Reduction to standard form
- Use of tables

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University of Leeds - MATH0365: Foundation Probability and Statistics

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