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Read-only sample study. A complete walkthrough — from problem statement to a validated report — using iris.csv (150 rows × 5 cols). Sign in to run your own.
Sample study · correlational design

Iris Flower Measurements

Research information
Statement of the problem

This study examines the morphological measurements of iris flowers and how the sepal and petal dimensions relate to one another.

Objectives
  • To describe the sepal_length, sepal_width, petal_length, and petal_width of the flowers.
  • To determine the relationship between petal_length and petal_width.
  • To determine the relationship between sepal_length and petal_length.
  • To determine the relationship between sepal_length and sepal_width.
Dataset
iris.csv150 rows × 5 cols
ColumnKindMissingDistinct
sepal_lengthnumeric035
sepal_widthnumeric023
petal_lengthnumeric043
petal_widthnumeric022
speciescategorical03
Feasibility & estimateFree
✓ Feasibledesign: correlational · via heuristic

Detected a correlational design with 5 analyzable variable(s) and 4 analytical question(s). Recommended 2 statistical test(s). Estimated cost: 35 credits.

Recommended analysis
To describe the sepal_length, sepal_width, petal_length, and petal_width of the flowers.
Descriptive Statistics(sepal_length, sepal_width, petal_length, petal_width)
To determine the relationship between petal_length and petal_width.
Pearson Correlation(petal_length, petal_width)
To determine the relationship between sepal_length and petal_length.
Pearson Correlation(sepal_length, petal_length)
To determine the relationship between sepal_length and sepal_width.
Pearson Correlation(sepal_length, sepal_width)
Dataset Complexity10
Statistical Tests4
AI Interpretation12
Visualizations4
Report Generation5
Total to run35 credits
Estimated runtime: ~40-80 seconds
ResultsComputed
4 tests35 credits
Descriptive Statistics (sepal_length, sepal_width, petal_length, petal_width)
nmaxminstdmeanmoderangemedianvariablevariance
1507.9004.3000.8285.84353.6005.800sepal_length0.686
1504.40020.4363.05732.4003sepal_width0.190
1506.90011.7653.7581.4005.9004.350petal_length3.116
1502.5000.1000.7621.1990.2002.4001.300petal_width0.581
Spearman Rank Correlation (petal_length, petal_width)
significant
r.938.879N150p< .001
Spearman r0.938
large

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

Spearman Rank Correlation was used instead of the Pearson Correlation because the latter's assumption(s) were not met (Normality of petal_length (Shapiro-Wilk), Normality of petal_width (Shapiro-Wilk)).
Spearman Rank Correlation (sepal_length, petal_length)
significant
r.882.778N150p< .001
Spearman r0.882
large

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

Spearman Rank Correlation was used instead of the Pearson Correlation because the latter's assumption(s) were not met (Normality of sepal_length (Shapiro-Wilk), Normality of petal_length (Shapiro-Wilk)).
Spearman Rank Correlation (sepal_length, sepal_width)
significant
r-.167.028N150p.041
Spearman r-0.167
small

The result is statistically significant (p = 0.0414 < 0.05).

Spearman Rank Correlation was used instead of the Pearson Correlation because the latter's assumption(s) were not met (Normality of sepal_length (Shapiro-Wilk)).
Report

Publication-ready report

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

Numeric-claim check passed · 7 numbers verified · prose: deterministic

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