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McMaster University · Hamilton · introductory preparation
McMaster University STATS1LL3 — Introduction to Probability and Statistics
Start with probability rules, discrete/normal calculations, summaries and introductory inference for the STATS1LL3 route. STATS1L03 is an older excluded code, not a second practice page.
36 original question families · 108 parameter instances
Practise this course →Course alignment and coverage
Public Fall 2026 section outline and embedded course description checked on 25 October 2026. Section-specific schedules, materials and policies can change; only the mapped objectives below are supported.
Across this collection: 140 distinct original families and 420 parameter instances. Courses share topic banks; translations and shared mappings are not extra questions.
Supported learning objectives
Descriptive statistics
Calculate means, medians and weighted summaries.
Variance and standard deviation
Distinguish sample and population denominators and scale changes.
Probability
Use complements, independence and conditional probability.
Distributions
Use binomial and normal models under stated assumptions.
Sampling and standard error
Calculate standard errors and sample-size effects.
Confidence intervals for a mean
Calculate known-sigma z intervals; critical values are supplied.
Hypothesis tests for a mean
Calculate a known-sigma z statistic, p-value decision or critical boundary.
Proportions
Estimate a proportion and calculate a standard error or z interval.
Normal areas and quantiles
Use supplied rounded normal tables for complements, central areas, standardization and a percentile.
What is not covered
Conditional-probability foundations are included, but full continuous-density calculations, graphical tasks and broad inference are missing. No claim of Science/Engineering eligibility: the official outline lists faculty and prior-course restrictions. Follow those rules for enrolment.
An original worked example
Find the mean of 2, 4, 6, 8.
Worked solution
Answer: 5
- The total is 20.
- Mean=20/4=5.
Official course sources
Independent, original, free self-study practice. Not affiliated with or endorsed by this university; these are not official exam questions. Topic alignment does not establish transfer credit, a current section’s weekly syllabus, full course coverage or a grade prediction. Follow your instructor’s rules and use official course materials for assessed work. No live AI chat or paid access is required.