engstats 0.2.2

A companion package for probability and statistics for engineers

Companion package engstats

A companion Python package for GEN_ENG 231 (IEMS 201) introductory engineering statistics class.

The package engstats provides a companion package to handle making visualizations for an introductory engineering statistics class.

A user manual is currently under construction.

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Installation

pip install -U engstats

Or from source:

git clone https://github.com/prof-mc/engstats
cd engstats
pip install -e ".[dev]"

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Quick Start

import engstats as es

# Load a bundled dataset
df = es.load_dataset("concrete")
df.head()

# Descriptive statistics
es.five_number_summary(df["strength_mpa"])
es.summary_stats(df["strength_mpa"])

# Simple linear regression
model = es.simple_linear_regression(df, x="water_cement", y="strength_mpa")
model.summary()

# Diagnostic plots
es.plot_scatter_regression(df, x="water_cement", y="strength_mpa")
es.plot_residuals(model)
es.plot_qq(model)

# Hypothesis testing
group_a = df[df["age_days"] <= 14]["strength_mpa"]
group_b = df[df["age_days"] >= 28]["strength_mpa"]
result = es.two_sample_ttest(group_a, group_b)
print(result)

# Probability
p = es.normal_prob(1.96)          # P(Z ≤ 1.96) ≈ 0.975
es.plot_normal_curve(mean=70, std=5, shade_above=80)

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Example Datasets

Name	Description
concrete	Compressive strength vs. water-cement ratio + age
bridges	Load capacity vs. span length, by material
circuits	Resistor tolerance measurements across batches

es.load_dataset("list")   # print all available datasets

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Running Tests

pytest tests/ -v

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