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Memorial University of Newfoundland · St. John’s
Memorial University of Newfoundland STAT2500 — Statistical Foundations for Data Analytics
Build probability, estimation, testing and supplied regression-line calculations for Memorial’s current data-analytics foundations course. R and data visualization are not simulated here.
44 original question families · 132 parameter instances
Practise this course →Course alignment and coverage
2026–2027 Memorial University Calendar, St. John’s Faculty of Science entry, checked on 25 October 2026. No current section timetable or syllabus is claimed.
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.
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.
What is not covered
The 2026–2027 title is Statistical Foundations for Data Analytics; older department schedules may still show the former business/arts label. R, exploratory graphics, data handling, broad distribution modelling and full multi-population inference are not covered. Computational foundations only. Graphs, experimental design, software labs, ANOVA, two-sample t/Welch and regression inference are not covered. Normal/z cases explicitly assume known population SD; t exercises cover one sample and paired differences with supplied critical values.
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.