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Sample study · comparative design

Caffeine and Sleep Deprivation on Reaction Time

Research information
Statement of the problem

This 2×2 factorial experimental-psychology study evaluates how caffeine (yes/no) and sleep condition (rested/deprived) independently and jointly affect reaction time on a cognitive task, with 80 participants randomly assigned across the four cells.

Objectives
  • To describe reaction_time_ms across the caffeine and sleep conditions.
  • To determine whether reaction_time_ms differs across caffeine and sleep.
Dataset
caffeine_sleep.csv80 rows × 4 cols
ColumnKindMissingDistinct
participant_idtext080
caffeinecategorical02
sleepcategorical02
reaction_time_msnumeric077
Feasibility & estimateFree
✓ Feasibledesign: comparative · via heuristic

Detected a comparative design with 3 analyzable variable(s) and 2 analytical question(s). Recommended 3 statistical test(s). Estimated cost: 34 credits.

Recommended analysis
To describe reaction_time_ms across the caffeine and sleep conditions.
Descriptive Statistics(reaction_time_ms)
Frequency & Percentage Distribution(caffeine, sleep)
To determine whether reaction_time_ms differs across caffeine and sleep.
Two-Way ANOVA(reaction_time_ms, caffeine, sleep)
Dataset Complexity9
Statistical Tests8
AI Interpretation6
Visualizations6
Report Generation5
Total to run34 credits
Estimated runtime: ~45-90 seconds
ResultsComputed
3 tests34 credits
Descriptive Statistics (reaction_time_ms)
nmaxminstdmeanmoderangemedianvariablevariance
80512.100327.80050.745415.284385.400184.300406.800reaction_time_ms2575.087
Frequency & Percentage Distribution (caffeine, sleep)
caffeine · no50.0%
caffeine · yes50.0%
sleep · rested50.0%
sleep · deprived50.0%
Two-Way ANOVA (reaction_time_ms, caffeine, sleep)
significant
N80p< .001
Partial η² (interaction)0.386
medium
Fdfkindeffectp valuesignificantpartial eta sq
376.6601maincaffeine0.000true0.832
325.0431mainsleep0.000true0.810
47.7531interactioncaffeine × sleep0.000true0.386

The result is statistically significant (p = 0.0000 < 0.05).

Report

Publication-ready report

Tests used · Results · Discussion — generated from the computed statistics.

Every claim checked · 21 numbers verified · prose: llm:gemini
Reproducible code

Download the exact Jupyter notebook or Python script that reproduces these results with widely-used libraries (scipy, statsmodels, lifelines).

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