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Experimental Design: Make the Comparison Fair — Worked Solutions

Worked Solutions

Compare your reasoning with the worked solutions after attempting the questions. A different valid representation or explanation can earn credit when it satisfies the stated criteria.

Original generated practice for the Fall 2026 course. Return to the lesson and independent checks.

Find the four elements: worked answer

Forty seedlings are randomly assigned, 20 per fertilizer, to A or B. Every pot gets the same daily water amount and light schedule.

Part a

Identify comparison, random assignment, replication, and direct control in the design.

A versus B is the treatment comparison. Chance determines allocation. Twenty seedlings per treatment supply replication. Equal watering and light schedules directly control those extraneous sources of height variation.

Part a scoring criteria
Evidence for creditPoints
Each of four elements correctly tied to actual design.1

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Which difference is the placebo effect?: worked answer

A randomized pain study has mean improvement 8 points for an active pill, 5 for an inactive matching pill, and 2 for no pill.

Part a

Identify the placebo and control comparisons. Calculate the placebo effect and distinguish it from active-minus-placebo.

The inactive matching pill is a placebo and can serve as a control treatment; no pill is another comparison group. The placebo effect is 5−2=3 improvement points. Active-minus-placebo is 8−5=3 points here, but it is a different comparison even though the numbers happen to match.

Part a scoring criteria
Evidence for creditPoints
Identifies inactive-placebo control and no-treatment comparison.1
Correct placebo/no-treatment difference and distinct active comparison.1

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Who knows the condition?: worked answer

Case A: participants do not know their assigned pill, but interacting staff do. Case B: participants know, but interacting outcome assessors do not. Case C: neither participants nor interacting staff know.

Part a

Identify the blinding/masking type in every case. Explain why A and B belong to the same category.

A and B are single-blind or single-masked: one side knows and the other does not, covering both directions of the definition. C is double-blind or double-masked because neither participants nor interacting research staff know the treatment.

Part a scoring criteria
Evidence for creditPoints
Correct all three labels.1
Explains both single-blind directions and both double-blind groups.1

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Fertilizer or water?: worked answer

In a flawed study, every A-fertilizer seedling receives twice as much water as every B-fertilizer seedling. Both water and fertilizer can affect growth.

Part a

Identify the extraneous variable and explain why it becomes confounded with treatment. Give a control and randomization repair.

Water amount is extraneous to the fertilizer comparison but affects growth. Because water level is tied to fertilizer, it is difficult to separate their effects. Give every seedling the same water amount and randomly assign fertilizer; control removes this systematic difference and random assignment aims for approximately similar distributions of other extraneous factors.

Part a scoring criteria
Evidence for creditPoints
Water affects response and is not investigated fertilizer factor.1
Explains inseparable treatment/water influence.1
Distinguishes direct control and random-assignment similarity goal.1

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Name the assignment plan: worked answer

Plan A randomly assigns 31 similar machines to two lubricants, with 15 in one group and 16 in the other. Plan B groups machines by age and randomizes both lubricants within each age group. Plan C matches machines into similar pairs and randomizes one lubricant to each machine in a pair.

Part a

Identify every design. Explain the role of equal sizes, blocking variation, and exactly two treatments.

A is completely randomized; equal treatment sizes are not required. B is randomized block, with age as an extraneous blocking variable; all treatments occur within each block and age variation is separated for more precise comparisons. C is matched pairs, a randomized block design with exactly two treatments and one of each assigned within each pair.

Part a scoring criteria
Evidence for creditPoints
Correct names and unequal-size allowance.1
Blocking variable, all-treatments-within-block, and precision rationale.1
Two-treatment pair assignment.1

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A fair comparison among volunteers: worked answer

An experiment recruits volunteers with recurring headaches and randomly assigns treatment or placebo. Recruiting random people to receive a medical treatment would be impractical.

Part a

Justify the type of conclusion supported by assignment and the population limit imposed by recruitment.

Random assignment supports a cause-and-effect treatment comparison by reducing confounding among the participating units. Volunteer recruitment is practical here but does not randomly select the broader population; the results concern participants and may apply to similar headache sufferers, not automatically everyone.

Part a scoring criteria
Evidence for creditPoints
Causal comparison linked to random assignment/reduced confounding.1
Practical volunteer recruitment and similar-unit generalization limit.1

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Design a hearing-protection experiment: worked answer

A lab recruits 72 volunteer adults to compare earplug materials A and B using a harmless standardized sound task. Response is the number of spoken words correctly identified out of 30. Volunteers differ substantially in baseline hearing score, measured before treatment. All testing can use the same room, sound volume, session duration, and assessor instructions. Material effects disappear when the earplugs are removed, so each volunteer could test both in separate comparable sessions. Only coded packaging is visible to participants and interacting assessors.

Part a

Identify the four design elements in a valid parallel-group plan, including at least two treatment groups, chance allocation, multiple units per treatment, and controlled settings.

Compare A and B; randomly allocate volunteers to material groups; use multiple volunteers in each group, such as 36 each; keep room, volume, duration, and assessor instructions the same. These supply comparison, random assignment, replication, and direct control.

Part a scoring criteria
Evidence for creditPoints
All four elements with operational detail.1
At least two treatments and more than one unit per treatment.1

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Part b

Identify a relevant extraneous variable and explain how random assignment and direct control do different jobs. Explain the confounding if all high-baseline volunteers receive A.

Baseline hearing affects response but is not the investigated material factor. Random assignment aims to make distributions of baseline hearing and other extraneous variables approximately alike across treatment groups. Direct control keeps room and sound settings identical. Assigning all high-baseline people to A ties baseline ability to material and makes their influences hard to separate.

Part b scoring criteria
Evidence for creditPoints
Relevant extraneous variable and random distribution similarity.1
Direct control fixed settings distinguished.1
Specific confounding explanation.1

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Part c

Identify a completely randomized plan with unequal treatment sizes. Explain whether unequal sizes invalidate that design label.

Randomly choose 30 volunteers for A and assign the remaining 42 to B, using a chance mechanism across all volunteers. The groups are unequal but the design is still completely randomized; equal sizes are common, not required.

Part c scoring criteria
Evidence for creditPoints
Valid chance plan across all units.1
Unequal sizes accepted with correct label.1

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Part d

Identify a randomized block plan using baseline hearing. Explain why it may improve precision and what must occur in every block.

Group volunteers into similar baseline-hearing blocks, then randomly assign A and B within each block. Every block contains both treatments. Baseline hearing is a blocking variable because it affects word recognition; separating its variation lets within-block treatment comparisons avoid large baseline differences and can improve precision.

Part d scoring criteria
Evidence for creditPoints
Similar-value blocks, random assignment within, all treatments in every block.1
Extraneous blocking-variable and precision explanation.1

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Part e

Identify both matched-pairs alternatives: two matched people and the same person under both conditions. Specify the random operation and explain why this design has only two treatments.

Pair volunteers with similar baseline hearing and randomly assign A to one and B to the other, so each pair receives both. Alternatively each volunteer tests both materials and A-first/B-first order is randomized across volunteers. Both are two-treatment randomized block designs. The stated disappearance of material effects makes the repeated-condition option feasible, though comparable sessions still matter.

Part e scoring criteria
Evidence for creditPoints
Two-person matching plus one-of-each random assignment.1
Same-person both conditions plus randomized order.1
Exactly two treatments and feasibility connected to stimulus.1

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Part f

Justify one design choice using the study goal, population characteristics, available volunteers, and variables. Give a circumstance that could change your choice.

A same-person matched-pairs design directly compares two materials for the same volunteer, reducing baseline-hearing variation; 72 volunteers can each supply both responses because effects disappear between sessions. If an earlier material had lasting effects, this option would be less appropriate and baseline-hearing blocks with separate groups could be better. A well-justified randomized block plan is also acceptable.

Part f scoring criteria
Evidence for creditPoints
Connects choice to two-treatment goal, hearing variation, sample, and response.1
Identifies a relevant changed condition rather than asserting universal superiority.1

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Part g

Identify the masking type of the coded-package arrangement. Describe both single-masked alternatives if the code became known to only one side.

The arrangement is double-blind/double-masked if neither participants nor interacting assessors can identify the material. If assessors know but participants do not, it is single-blind. If participants know but assessors do not, it is also single-blind. A visible code preserves masking only while its meaning remains concealed.

Part g scoring criteria
Evidence for creditPoints
Double-masked both-side condition.1
Both single-masked alternatives.1

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Part h

Suppose a separate randomized three-group discomfort study finds mean improvement 6 with active treatment, 2 with a harmless matching placebo, and 1 with no treatment. Identify a control and calculate the placebo effect.

The matching inactive placebo supplies a control comparison, and the no-treatment group supplies the reference for the placebo effect. Placebo effect is 2−1=1 improvement point. Active-minus-placebo is 6−2=4 points and concerns the active ingredient comparison, not the placebo effect.

Part h scoring criteria
Evidence for creditPoints
Control/placebo purpose.1
Correct placebo-versus-no-treatment calculation and distinct active comparison.1

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Part i

Justify an appropriate conclusion about material effects and the limits on generalizing from volunteers.

Random assignment supports a cause-and-effect comparison of materials under the lab conditions because it reduces systematic confounding. Recruiting volunteers rather than randomly selecting adults means the result is not automatically generalizable to all adults. It applies to participating volunteers and may be relevant to similar units; practical or ethical recruitment limits do not erase this distinction.

Part i scoring criteria
Evidence for creditPoints
Causal support and mechanism.1
Volunteer/practical recruitment and similar-unit scope limit.1

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