A statistics lesson has a concept (distribution, hypothesis test, regression model, confidence interval), a formula, a worked example with numbers, a dataset to demonstrate the result, code snippets in R or Python, and a set of practice problems. The shape repeats from descriptive statistics through inference, regression, and Bayesian methods, which is what makes a per-lesson template work cleanly here.

SleekRank reads a statistics course sheet and renders one WordPress page per row at /statistics/lessons/{slug}/. Tag mappings carry title and topic, selector mappings inject LaTeX formulas and code blocks for R and Python, list mappings handle examples, practice problems, and datasets, meta mappings carry description and LearningResource JSON-LD.

Lecturers and curriculum writers edit the sheet directly. A new concept is a new row. Adding a Python snippet to an existing R-only lesson is one cell. The base lesson template is noindexed, each generated URL enters the sitemap, and cache duration is set per source so a draft edit reaches students by lecture time.

Statistics has the cleanest data shape of any math course because the lessons themselves are about data. Distributions, tests, models, and intervals all have a formula, a set of assumptions, a worked example, a dataset, and a code path in R or Python. That structure is exactly what hand-built page systems lose.

By the time a lecturer has written thirty statistics pages in Gutenberg, the formula rendering varies between pages, the R and Python code styles diverge, the assumptions blocks have inconsistent formatting, and the dataset previews are inconsistently sized. Search intent is direct. Students and analysts search for the specific test, distribution, or worked-example phrase, and a focused per-lesson page wins the click over a long survey page.

The data is tabular and modest. One formula, three to seven assumptions, two or three worked examples, one dataset, a pair of code snippets, ten to fifteen practice problems. Everything else is layout.

Once the sheet is the source, statisticians and instructors own the content, the web team owns the rendering, and the corpus stays consistent as the course evolves across semesters and instructors. Pair with SleekPixel for OG cards that carry the test name, topic, and dataset hint, and the course site grows with the curriculum rather than behind it.