Exploring one-variable data and collecting data practice problems AP Statistics, Unit 1
Describing distributions, z-scores and the normal model, sampling methods and bias, and the design of experiments. Try each question before you look: use the hint if you are stuck, then reveal the worked solution one step at a time.
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Key equations for exploring one-variable data and collecting data
| x̄ = Σx / n | mean |
|---|---|
| IQR = Q3 − Q1 | interquartile range |
| Q3 + 1.5 × IQR | upper outlier fence |
| z = (x − μ) / σ | z-score |
The formulas and tables are provided in the exam. Answers within 2.5% are marked correct (5% for probabilities), so values from a table or a calculator both count. The full sheet is in our AP Statistics formula sheet.
Warm-up questions
Quick checks on the core ideas. If these feel easy, go straight to the exam-style questions.
Hint
Add them up and divide by how many there are.
Worked solution
- Sum = 40, and there are 5 values.
- Mean = 40/5 = 8.
Hint
Find the IQR first.
Worked solution
- IQR = 20 − 12 = 8.
- Upper fence = Q3 + 1.5 × IQR = 20 + 12 = 32.
Hint
The experimental unit is what the treatment is assigned to.
Worked solution
- The treatment is assigned to whole classes, not to individual students.
- So the experimental units are the classes: B.
Exam-style questions
Questions at the level of the AP Statistics exam. The ones marked Challenge combine more than one idea.
Hint
z = (x − mean)/SD.
Worked solution
- z = (82 − 70)/8 = 12/8.
- z = 1.5: the score is 1.5 standard deviations above the mean.
Hint
Standardise, then use the normal table or normalcdf.
Worked solution
- z = (182 − 170)/6 = 2.
- P(Z > 2) = 1 − 0.9772.
- Proportion = 0.0228, about 2.3%.
Hint
Is every group sampled, or are whole groups chosen?
Worked solution
- The population is split into groups (strata) of similar individuals, and a random sample is taken from every group.
- That is a stratified random sample: B.
Hint
Find the z-score with 0.90 of the area below it, then unstandardise.
Worked solution
- invNorm(0.90) gives z = 1.2816.
- x = 500 + 1.2816 × 100 = 628.
Hint
What does an experiment have that an observational study does not?
Worked solution
- Without random assignment of coffee drinking, coffee drinkers may differ in other ways that affect lifespan.
- Those confounding variables mean we cannot conclude cause and effect: B.
Free-response practice
One original question in the style of the exam's free-response section. Answer it in full, with working, before you open the scoring guide.
Experimental design style · 10 points · about 22 minutes
A teacher wants to know whether a new revision app improves test scores more than revising from notes. Forty students volunteer. Their scores on last term's test vary widely.
- (a) Identify the treatments and the response variable.
- (b) Describe how to carry out a completely randomised design with the 40 students.
- (c) Explain why blocking by last term's score might be better, and describe how to do it.
- (d) Can the results be generalised to all students at the school? Explain.
Write your full answer on paper first, then open the scoring guide and tick each point you earned.
Scoring guide and model answer
Part (a)
Treatments: revising with the app, and revising from notes. Response: the score on the next test.
Part (b)
Number the students 1 to 40. Use a random number generator to pick 20 different numbers: those students use the app, the other 20 revise from notes. Compare mean test scores.
Part (c)
Last term's score is likely related to the response, so blocking reduces variability. Pair students with similar scores, and randomly assign one of each pair to the app.
Part (d)
No. The students volunteered, so they may not represent all students; there was no random sample from the school.
Your mark: 0 of 10
Common mistakes in exploring one-variable data and collecting data
- Describing a distribution without context, or leaving out one of shape, centre, spread and unusual features.
- Confusing random sampling (lets you generalise) with random assignment (lets you conclude cause).
- Calling the individual students the experimental units when the treatment is given to whole classes.
- Using the mean and standard deviation to summarise a strongly skewed distribution with outliers.
Keep going
Revise the ideas behind these questions:
- AP Statistics Unit 1 guide
- Experimental design guide
- Sampling methods guide
- Normal distribution and z-scores guide
Then try real exam questions: AP Statistics past papers, with official scoring guidelines. · All AP Statistics units