STATS100 Concepts in Statistics
The Complete Exam Bible · S2 2026STATS100 Overview
- Department of Statistics, University of Auckland
- Semester Two, 2026
- Stage 1 undergraduate course
- 15 points
- An introductory statistics course serving multiple study pathways.
- The best ten of eleven assignments contribute 30%, two quizzes contribute 10% each for 20%, and the final examination contributes 50%.
STATS 100 Concepts in Statistics develops statistical reasoning through time series, proportions, classification, chance models, sampling, intervals, data ethics, linear models, normal models, tests and study design. It is taught within Department of Statistics, University of Auckland. It is Stage 1 undergraduate course.
- Best ten assignments Eleven assignments are offered but only the best ten contribute, at 3% each, to the 30% assignment total.
- Exam minimum The 50% final exam must reach 45%, and the course total must also reach 50%; these are separate checks.
- Null is a model A p-value describes how extreme the statistic is under the stated null process, not the probability that the null is true.
- Ethics changes analysis Consent, missingness, representation and data provenance can change which population claim is defensible, not merely how a report is worded.
How STATS100 is assessed
| Component | Weight | Format |
|---|---|---|
| Assignments | 30% | Best ten of eleven assignments, each contributing 3% to the retained total |
| Quizzes | 20% | Two quizzes worth 10% each |
| Final Examination · hurdle | 50% | A minimum examination mark of 45% is required in addition to a 50% course total |
The best ten of eleven assignments contribute 30%, two quizzes contribute 20%, and the final exam contributes 50%. Passing requires at least 50% overall and at least 45% on the final examination.
What STATS100 covers
Build the course in three arcs: Time Series and Change establishes the frame, Confidence Intervals and Claims deepens it, and Hypothesis Tests, Study Design and Communication tests the complete method.
Time Series and Change
time series · time difference · temporal pattern · separate level, change and time structure before explaining a plotted pattern02Proportions and Classification
sample proportion · classification rule · misclassification rate · compute and compare proportions or classification rates with an explicit denominator03Chance Models and Null Variation
chance model · null model · simulation distribution · simulate a null statistic and compare the observed result with its reference distribution04Sampling Variation and Standard Error
sampling distribution · standard error · sample size · explain and calculate how a statistic varies across repeated samples05Confidence Intervals and Claims
point estimate · confidence interval · margin of error · construct an interval and translate it into a population claim tied to the sampling procedure06Data Sources, Missingness and Ethics
data provenance · missingness rate · data ethics · audit a data source and quantify missingness before choosing a population claim07Relationships and Linear Models
explanatory variable · fitted line · residual · fit and interpret a linear relationship while checking residual structure and extrapolation08Normal Models and Standardisation
normal distribution · standard score · tail probability · standardise a value and interpret its tail location under a defensible normal model09Hypothesis Tests, Study Design and Communication
test statistic · study design · uncertainty communication · connect a null comparison to the study design and communicate a qualified decisionIt carries 15 points.
It is positioned as An introductory statistics course serving multiple study pathways.
The course emphasises simulation, visual reasoning and communication of uncertainty while weekly assignments reward sustained practice rather than one calculation-only method.
Assessment in STATS100 is distributed as follows: The best ten of eleven assignments contribute 30%, two quizzes contribute 10% each for 20%, and the final examination contributes 50%.
The operational assessment conditions matter here.
A final examination contributes 50%.
The verified course material do not establish its Semester Two sitting conditions, so use the live course site and official timetable for date, venue and resources.
What makes STATS100 demanding is concrete: The difficult move is translating a visual or simulated pattern into a parameter claim while keeping sample, population, null model, uncertainty and practical meaning distinct.
Students need at least 50% overall and at least 45% on the final examination; the exam minimum is a separate component rule.
For enrolment planning, Confirm current prerequisites and restrictions on the effective Semester Two 2026 University of Auckland course page.
Build the course in three arcs: Time Series and Change establishes the frame, Confidence Intervals and Claims deepens it, and Hypothesis Tests, Study Design and Communication tests the complete method.
Estimate a proportion and state its uncertainty
- 1Calculate the sample proportion as 84 divided by 120, giving 0.70.
- 1Calculate the standard error as the square root of 0.70 times 0.30 divided by 120, about 0.0418.
- 1Use two standard errors to obtain a margin of about 0.0837.
- 1Report the approximate interval 0.616 to 0.784.
- 1Tie the interval to the sampling process and note that selection bias is not repaired by this calculation.
Key terms
- Time series
- A sequence of measurements indexed in time order, analysed for level, change, seasonal structure, dependence and unusual events.
- Data ethics
- Principles governing consent, privacy, representation, fairness, stewardship and consequences across the collection and use of data.
- Proportion
- A part-to-whole ratio for a defined category, calculated using a numerator contained within its relevant denominator.
- Classification
- The assignment of observations to categories using stated features, rules or a fitted model and an explicit error criterion.
- Chance model
- A probability-based representation of how outcomes could vary under specified random conditions or a data-generating mechanism.
- Null model
- A benchmark chance model representing no effect, no association or another stated reference against which observations are compared.
- Sampling variation
- The natural difference among statistics calculated from repeated samples selected by the same sampling process.
- Confidence interval
- An interval produced by a repeated-sampling procedure designed to contain a target parameter at a stated long-run rate.
- Margin of error
- The distance from an interval's estimate to either endpoint, combining sampling uncertainty with a chosen confidence level.
- Linear model
- A model representing the conditional mean of an outcome as an intercept plus weighted predictor terms and unexplained variation.
- Normal distribution
- A symmetric bell-shaped probability distribution determined by its mean and standard deviation and used only when its fit is defensible.
- Hypothesis test
- A procedure comparing an observed statistic with its behaviour under a stated null model to assess compatibility with that benchmark.
STATS100 FAQ
How is STATS100 assessed?
The best ten of eleven assignments contribute 30%, two quizzes contribute 10% each for 20%, and the final examination contributes 50%.
Does STATS100 have a hurdle or component-level pass rule?
Students need at least 50% overall and at least 45% on the final examination; the exam minimum is a separate component rule.
Where do students usually lose marks in STATS100?
The difficult move is translating a visual or simulated pattern into a parameter claim while keeping sample, population, null model, uncertainty and practical meaning distinct.
What is the STATS100 exam or final-task format?
A final examination contributes 50%. The verified course material do not establish its Semester Two sitting conditions, so use the live course site and official timetable for date, venue and resources.
Which offering does this STATS100 guide cover?
It is aligned to Semester Two, 2026; confirm your enrolled class and timetable in the current institutional system.
Is this STATS100 resource an official university guide?
No. It is an independent STATS100 study resource; current institutional instructions remain authoritative for assessment operation.
How to study for the exam
Retrieve the course map, practise the recurring method—identify the population, variables and data-generating process, choose a descriptive, simulation or inferential representation, calculate transparently and express the conclusion with its uncertainty, design and ethical boundary—on changed scenarios, and verify every operational assessment detail in the live institutional system.
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