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Dalhousie University · Halifax · also listed as MATH1060
Dalhousie University STAT1060 — Introductory Statistics for Science and Health Sciences
Work on descriptive statistics, introductory inference and supplied simple-regression models. STAT1060 and its MATH1060 cross-list share this single practice route.
28 original question families · 84 parameter instances
Practise this course →Course alignment and coverage
2026/2027 undergraduate calendar course description checked on 25 October 2026. The department’s linked outline list includes older years; it is not used as a current section 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.
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.
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.
What is not covered
Experimental design, MINITAB labs, graphs and statistical communication are not covered. Inference exercises are explicitly simplified z or one-sample/paired t cases, not a full laboratory course. No duplicate page is created for the MATH1060 cross-list.
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.