Home › Certifications › High school subjects › HS Statistics › Designing Studies: Sampling and Experimental Design
Designing Studies: Sampling and Experimental Design — HS Statistics practice questions
20 multiple-choice questions and 26 flashcards on Designing Studies: Sampling and Experimental Design, about 13% of the HS Statistics bank. Every one carries a written rationale.
What this chapter covers
Designing Studies: Sampling and Experimental Design is one of 7 chapters in CoStudy's HS Statistics bank, and it holds 20 of the bank's 150 multiple-choice questions — roughly 13% of the total. That proportion is not arbitrary: chapters follow the certifying body's published exam outline, and the number of questions in each is set by that domain's published weight, so the share of your practice time this chapter takes matches the share of the real exam it accounts for.
Studying by chapter is worth doing once you have a diagnostic score. A single overall percentage tells you whether you are close; it does not tell you which domain is dragging. Working a weak chapter in isolation, and re-testing it in isolation, is the fastest way to move a score that has stalled — and it is why the mock exams in CoStudy report by domain rather than as one number.
Free Designing Studies: Sampling and Experimental Design practice questions
5 questions drawn from this chapter, with the full rationale shown — the controlling principle behind the right answer, and why each wrong option tempts and fails.
Researchers compare the health of people who already choose to exercise with people who do not. This is:
- a randomized experiment
- a matched-pairs experiment
- an observational study
- a census
Answer: C — an observational study
C) Correct — The researchers do not assign the exercise. A) Subjects chose their own exercise habits. B) No treatment is assigned at all. D) Not everyone in the population is measured.
A website asks visitors to vote in an online poll. The main problem is:
- voluntary response bias
- response bias from a leading question
- nonresponse bias
- no bias, because anyone can vote
Answer: A — voluntary response bias
A) Correct — People with strong opinions are the most likely to respond. B) Nothing here says the question is worded unfairly. C) That happens when chosen people do not answer; here no one was chosen. D) Letting people choose themselves is what creates the bias.
The purpose of a control group is to:
- provide a baseline for comparison
- receive the strongest dose
- avoid being measured
- remove the placebo effect entirely
Answer: A — provide a baseline for comparison
A) Correct — It shows what happens without the treatment. B) The control group gets no treatment or a placebo. C) It is measured just like the treatment group. D) A placebo group lets you measure that effect; nothing removes it.
Each runner tries both shoe A and shoe B, in random order. This is a:
- matched-pairs design
- completely randomized design
- block design with three blocks
- observational study
Answer: A — matched-pairs design
A) Correct — Each subject serves as their own comparison. B) Would give each runner only one shoe. C) There are no separate blocks here. D) The researchers assign the shoes.
A simple random sample of size n is one in which:
- the researcher picks people who seem typical
- the first n people who respond are used
- each subgroup is sampled separately
- every group of n individuals has the same chance of being chosen
Answer: D — every group of n individuals has the same chance of being chosen
D) Correct — That is what makes it simple and random. A) Personal choice introduces bias. B) Is a convenience or voluntary sample. C) Describes a stratified sample.
Designing Studies: Sampling and Experimental Design flashcards
4 cards from the 26 in this chapter.
Nonresponse vs voluntary response bias?
Nonresponse: people who were chosen do not respond. Voluntary response: people choose themselves (call-ins, online polls), so those with strong opinions are overrepresented.
Population vs sample?
Population: all members. Sample: subset used to study population.
Placebo?
Inert treatment. Subjects can show effects from belief alone.
What should you check before trusting a statistical claim?
Sample size, methodology, source bias, confounders, statistical vs practical significance.
Practise the full chapter
These are a sample. The full Designing Studies: Sampling and Experimental Design chapter runs 46 items with per-chapter progress tracking, on the web and in the iOS app.
Open HS Statistics in CoStudy →
Other HS Statistics chapters
- Describing Data with Numbers and Graphs24 questions
- Probability: Rules, Conditional, Independence22 questions
- Probability Distributions: Binomial and Normal22 questions
- Sampling Distributions and Inference for Means and Proportions28 questions
- Inference for Categorical Data: Chi-Square14 questions
- Linear Regression and Correlation20 questions