Workshop in Probability and Statistics

About this written course

Original English workshop in introductory data analysis, probability and bounded statistical inference. All datasets are fictional teaching data. This is a self-paced written practice course, not a professional qualification or a substitute for a full statistics curriculum. Earlier completion markers refer to the earlier content and do not establish mastery of this revision.

Level: Foundational undergraduate self-study

Prerequisites

• Arithmetic with fractions and percentages
• Basic algebra and square roots
• A calculator; optional spreadsheet for independent checking

Learning outcomes

• Describe data with appropriate summaries and quality checks
• Calculate joint, conditional and reverse probabilities
• Build simple discrete probability models and sampling arguments
• Interpret one-sample intervals, tests and simple linear relationships with assumptions

Materials in this written edition

• 15 original written lessons with 15 worked examples.
• 45 independent practice questions and 30 exit checks with explanatory answer keys.
• 4 topic self-assessments with 16 questions and marking guidance.
• One integrated 20-point capstone with model answer and rubric.
• Accessible text explanations and labelled learning tables.

Course contents

1. Data Literacy and Descriptive Statistics (4 lessons)
2. Probability and Conditional Reasoning (4 lessons)
3. Counting, Random Variables and Sampling (4 lessons)
4. Inference and Statistical Relationships (3 lessons)

New written edition. Earlier course completion is not evidence of completing this revised material. Worked keys are provided for self-checking.