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Concordia University · Montréal · selected course foundations
Concordia University STAT249 — Probability I
Use counting, conditional probability, discrete distributions and normal areas to begin Probability I. This course is not STAT250 Statistics; confidence intervals and hypothesis tests are not mapped here.
20 original question families · 60 parameter instances
Practise this course →Course alignment and coverage
Current catalogue and public Fall 2026 outline checked 25 October 2026. These original exercises cover selected stated topics, not the section’s assignments, examination or weekly order.
Across this collection: 156 distinct original families and 468 parameter instances. Courses share topic banks; translations and shared mappings are not extra questions.
Supported learning objectives
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.
Normal areas and quantiles
Use supplied rounded normal tables for complements, central areas, standardization and a percentile.
Counting and conditional probability
Distinguish combinations from ordered selections, calculate without-replacement probability and apply Bayes to an inspection.
What is not covered
No full probability axioms/proofs, joint densities, conditional expectations, moment-generating functions, gamma distributions or general continuous-density integrals. Counting examples specify ordered/unordered selection and replacement assumptions. Check MAST218 co-/prerequisite and exclusions.
An original worked example
If P(A)=0.2, find P(not A).
Worked solution
Answer: 0.8
- P(not A)=1-0.2.
- Result=0.8.
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.