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University of British Columbia · Vancouver
University of British Columbia STAT200 — Elementary Statistics for Applications
Review summaries and basic mean-inference calculations before the wider classical, nonparametric and robust inference in UBC STAT200. This small foundation bank does not reproduce its computer labs.
28 original question families · 84 parameter instances
Practise this course →Course alignment and coverage
Official public course description checked on 25 October 2026. Current section syllabus and weekly order have not been verified.
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.
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.
Two independent means
Compare independent means with known population standard deviations.
One-sample and paired t
Use sample SD for a one-sample or paired t statistic, degrees of freedom and a margin with supplied t critical value.
What is not covered
A small numerical foundation supplement only. Nonparametric and robust methods, variance inference, ANOVA, model formulation, assumption diagnostics and computer work are not covered. Supplied z/t cases do not represent the whole course.
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.