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University of Calgary · Calgary · inference continuation
University of Calgary STAT217 — Introduction to Statistics II
Continue after STAT213 with original test decisions, confidence comparisons, independent-sample Welch calculations and chi-square counts.
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
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.
Proportions
Estimate a proportion and calculate a standard error or z interval.
Correlation and regression
Use a supplied least-squares line and interpret residuals and r².
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.
Chi-square counts
Compute a simple goodness-of-fit statistic, an expected cell, table degrees of freedom and a decision from a supplied p-value.
Independent two-sample Welch inference
Calculate unpooled SE, a Welch t statistic, fractional degrees of freedom and a CI endpoint using a supplied critical value.
What is not covered
Numerical foundations only. No statistical software labs, study-design assessment, graphs, bootstrapping/permutation simulation, ANOVA, multiple regression or regression inference. Critical values/table probabilities are supplied; normal-area exercises use rounded supplied tables. Welch examples are independent normal samples; paired t is a separate objective.
An original worked example
An independent sample from a normal population has n=100, known sigma=20. Use z*=1.96 for a 95% mean interval. Find its margin of error.
Worked solution
Answer: 3.92
- Margin=1.96*2.
- Margin=3.92. The sample mean is not needed for the margin.
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.