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University of Calgary · Calgary · probability and estimation
University of Calgary STAT213 — Introduction to Statistics I
Focus on probability, distributions, data summaries and interval estimation. Calgary places hypothesis testing and broader model inference in the separate STAT217 course.
32 original question families · 96 parameter instances
Practise this course →Course alignment and coverage
Official public description checked on 25 October 2026. A catalogue description is not a complete current section or weekly syllabus.
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.
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
Bayes calculations, multivariate data displays, general continuous-distribution integrals, statistical modelling, simulation-based intervals and full estimation theory are not covered. Hypothesis-test objectives are intentionally excluded from this map.
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.