The Stratum blog

Statistics, visualized — one post at a time

How-tos, worked case studies, plain-language statistics explainers, and product news. The written companion to our video series — new posts every week.

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Latest posts

Workflows

Which Statistical Test Should I Use? Let Stratum Ask

Guide Me asks only what your file can't tell it — then builds the analysis and the chart.

Statistics Explained

Fisher's Exact Test vs Chi-Square: When Small Counts Break χ²

Same 2×2 table, p-values on opposite sides of 0.05. The expected counts decide.

Workflows

How to Label Specific Points on a Scatter Plot

142 countries, six worth naming: mark the rows that matter and drag each label into place.

Comparisons

Stratum vs Minitab

Control charts and capability without a Windows-only subscription.

Workflows

Color by Group or Color by Row? Partition vs Row Colors in Stratum

“Color by continent” can mean analyze each group or just paint it. Stratum keeps them apart.

Workflows

Navigating a 1,000-Column Survey

1,146 GSS variables: find any one, read what it is, declare a whole battery in one pass.

Comparisons

Switching from JMP: A Field Guide

Modeling types, row states, Fit Y by X — each JMP habit mapped to its Stratum equivalent.

Workflows

Train, Validation and Test Sets — Without Code

One split, three models, one honest comparison on rows none of them saw.

Statistics Explained

Overfitting Explained: Why Training Accuracy Lies

0% training error, 11% on unseen rows. Overfitting means the training number is wrong.

Workflows

From Default Chart to Publication Figure

From a chart that answers your question to a figure that answers it for someone else.

Comparisons

Stratum vs R: Statistics Without Writing Code

R is the reference everyone checks against. Here's when a native app is the faster route.

Workflows

Find the Row Behind Any Point

An outlier is a question about a row: reveal it, mark it, and measure how much it matters.

Statistics Explained

Is Your Cpk Really Above 1.33?

From thirty parts, Cpk is a loose estimate — compare its lower bound with 1.33.

How-To

Open an SPSS .sav File on a Mac (No SPSS License)

Read variable and value labels straight off a .sav — no SPSS, no CSV round-trip.

Statistics Explained

Cp, Cpk, Pp, Ppk: Process Capability Explained

The four capability indices in plain language — and the assumption they all share.

How-To

Welch's ANOVA: When Variances Aren't Equal

Classical ANOVA crowns a false winner (p=0.0005); Welch says it's noise (p=0.42).

Statistics Explained

Type I, II, and III Sums of Squares

On unbalanced data the same effect gets three different F-tests. Which is right?

Statistics Explained

Effect Size: Cohen's d, Hedges' g, and Eta Squared

A p-value says whether an effect exists, not how big. Report the size too.

Stratum regression report showing the baseline slope, three arm coefficients with p-values, and the R-squared line
How-To

ANCOVA: Comparing Groups While Adjusting for a Covariate

Compare group means the fair way — hold a covariate constant, straight from menus.

Nine Stratum analyses side by side: ANOVA, linear regression, a contingency table, an X-bar and R control chart, a process capability report, a PCA biplot, k-means clustering, a regression tree and a correspondence map
Comparisons

Stratum vs Jamovi & JASP

Two free R-backed apps versus a paid native one — an honest head-to-head.

Statistics Explained

What Is Correspondence Analysis?

PCA for categorical data: turn a big cross-tab into one readable map.

Product Updates

What's New in Stratum 1.5

Guide Me picks and draws the analysis, rows you select or mark show on every chart, a column index for wide files, and test sets with Model Comparison.

Product Updates

What's New in Stratum 1.4

SPSS and Stata files with labels intact, Frequencies, Welch's ANOVA, equivalence tests, control-chart phases and TIFF export.

Product Updates

What's New in Stratum 1.3

Polynomial regression terms, a solver validated against NIST, coefficient intervals and Effect Tests, ANOVA means and effect sizes, and Type III sums of squares.

Statistics Explained

Simpson's Paradox in the Wild

The best-cut diamonds look cheapest — until you find the confounder hiding in plain sight.

Statistics Explained

When to Log-Transform Skewed Data

When the log transform earns its place — and why it isn't just cosmetic.

Statistics Explained

Reading a PCA You Didn't Write

Name each component from its loadings — and let PCA explain a real mystery.

How-To

Multiple Regression That Isn't Fooled by Confounders

Add one variable and watch the R² climb — and the story flip.

Statistics Explained

Decision Trees on Real Data

Let 54,000 diamonds carve their own rules — and confirm the finding from a new angle.

How-To

How to Make a Q-Q Plot (Mac & Windows)

Check whether your data is normal — read the line, spot skew and tails.

Comparisons

Stratum vs SPSS

Where SPSS's established workflows fit, and where a lighter native app wins on cost.

How-To

How to Build a Decision Tree (Mac & Windows)

An interpretable model: grow it, prune it, read importance, and predict.

Statistics Explained

Violin vs Box Plot: Which Should You Use?

Both compare groups, but one shows summaries and the other shows shape.

How-To

How to Make a Violin Plot (Mac & Windows)

Compare groups by full distribution shape — and spot bimodality a box plot hides.

Comparisons

Stratum vs GraphPad Prism

Where Prism's biostatistics focus shines, and where a broader native app fits.

How-To

How to See Every Variable Pair at Once

See every variable pair at once with the Scatter chart's Matrix mode.

Statistics Explained

How to Read a Correlation Matrix

Read every pair's relationship at once, with the significant ones highlighted.

Statistics Explained

Reading Regression Diagnostics

R², VIF, Cook's distance and residual plots — whether to believe the model.

How-To

How to Run a Linear Regression (Mac & Windows)

Build a model from menus, read R² and coefficients, and check the diagnostics.

Comparisons

Stratum vs JMP

Where JMP's depth is worth it, and where a lighter native Mac & Windows app wins.

Statistics Explained

Understanding PCA Loadings & Scores

Loadings tell you what a component means; scores tell you where each observation sits.

How-To

How to Run PCA (Mac & Windows)

Reduce many variables to a few components; read the scree plot and biplot.

Case Studies

The Penguin Paradox: How to Tell Three Species Apart When the Average Lies

344 real penguins, a bill correlation that runs backwards until you split by species, then a decision tree, random forest and PCA that classify three species at ~98% — no code.

Case Studies

The Gap That Closed: 142 Countries, 55 Years, One Chart

Turn the most famous scatter in statistics into 142 connected trajectories and watch the development gap close — a full Gapminder analysis, no code, no animation.

Case Studies

Analyze an SPSS .sav File Without SPSS: Does Money Buy Happiness?

The 2024 General Social Survey opened straight from its .sav and weighted with NORC's survey weight: chi-square, a mosaic, Welch ANOVA and logistic regression show more income doesn't raise the odds of being very happy once money feelings, health and marriage are in. No code.

Case Studies

ANOVA on Real Data: Are Fewer Babies Born on Friday the 13th?

5,479 real days of US births: Friday the 13th looks like it has 5% more babies, until ANOVA, Welch and Games–Howell expose the weekday and holiday effects. Fridays vs Fridays: 5.3% fewer. No code.

Case Studies

Cluster Analysis on Real Customer Data: K-Means vs Hierarchical

440 real wholesale customers: raw k-means finds only the whales, a log scale finds two real segments that k-means and Ward agree on, and a label the algorithm never saw validates them at V ≈ 0.72. No code.

Case Studies

What Predicts a Taxi Tip? Regression and a Random Forest on 4 Million Rides

4,090,836 real NYC taxi rides, opened straight from Parquet: three recording traps that fake a 38% no-tip rate, a 20% default half the city taps, and a logistic regression and random forest that agree on the one thing that moves it — no code.

Case Studies

Difference-in-Differences Without Stata: The Minimum Wage Study

Card & Krueger's 410 restaurants from a Stata .dta, reshaped to one row per store, then a difference-in-differences with standard errors clustered by store, checked against within-store change scores and the published tables. No code.

Case Studies

The Star Wars Map: A Whole Survey in One Chart

1,186 people, 14 characters, one chart. Correspondence Analysis maps a whole survey — and Jar Jar sits alone in the corner. No code.

Case Studies

The Diamond Paradox: Why “Better” Diamonds Cost Less

53,940 real diamonds, three quality grades that all run backwards, and the charts, ANOVA, regression, PCA and decision tree that crack it — no code.

Case Studies

Does the Drug Work? It Depends Whom You Ask

2,139 patients in the ACTG 175 HIV trial: the overall average said the drug worked, one arm said it harmed, and the honest answer lived in the subgroups — paired t-test, effect size, responder rate, ANOVA, MANOVA and ANCOVA. No code.

Case Studies

In Control AND Capable: The Number That Passes a Failing Process

A capability report says Ppk 1.36 — a pass. On 200 real piston-ring measurements, SPC control charts catch the drift that single number hides. The Six-Sigma rule: control before capability. No code.

Statistics Explained

What Is a Control Chart? SPC & the Nelson Rules

How SPC tells ordinary variation from a real change — and what the Nelson rules detect.

How-To

How to Build a Control Chart (Mac & Windows)

I-MR and X-bar charts with control limits and automatic Nelson-rule flagging.

Comparisons

Best Statistics Software for Mac & Windows (2026)

Native apps vs Excel vs R/Python vs the big suites — an honest map of the options.

Statistics Explained

Correlation vs Causation: Pearson vs Spearman

What correlation does and doesn't mean, and when to use Pearson vs Spearman.

How-To

How to Make a Scatter Plot (Mac & Windows)

Plot two variables, add a line of best fit, and read the correlation.

Statistics Explained

Mean vs Median: Which Should You Report?

Two measures of center that agree for symmetric data and diverge for skewed data.

Product Updates

What's New in Stratum 1.2

A guided first-run tour, on-screen Hints, panel-by-panel control-chart zoom, pixel-exact 16:9 / 4K chart export, and cleaner below-zero bar labels.

Product Updates

What's New in Stratum 1.1

Two new Pro analyses, Connected Scatter, custom categorical ordering, skewness & kurtosis, and drag-to-export cards.

How-To

How to Make a Histogram (Mac & Windows)

See the shape of a variable — pick bins, read skew, and export.

Comparisons

Stratum vs Excel for Statistical Analysis

Where Excel runs out of road for real statistics — and what a native Mac & Windows app does differently.

Statistics Explained

ANOVA Assumptions Explained

Normality, equal variance, independence — what each assumption means and how to check it.

How-To

How to Run a One-Way ANOVA (Mac & Windows)

Compare three or more group means, read F and p, and run a Tukey post-hoc.

How-To

How to Run a t-Test (Mac & Windows) — Without R or Python

Compare two groups and read the result in under a minute — no code, no notebooks.

Statistics Explained

Box Plots Explained: Quartiles, IQR & Outliers

Median, quartiles, the IQR box, whiskers and outliers — read a box plot at a glance.

How-To

How to Make a Box Plot (Mac & Windows)

Compare groups and spot outliers with a box-and-whisker plot — in under a minute.

Product Updates

Introducing Stratum: Serious Statistics, Native to Mac & Windows

What Stratum is, who it's for, and why we built a native statistics app for Mac & Windows.

More coming
Every week

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