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Stats & Algebra

The student tier: describe a data set properly, then move up to row reduction and eigenvalues. Every tool writes out the full method — the deviation table, the row operations, the characteristic polynomial — so you can follow the argument, not just copy the answer.

A sensible order
  1. 1Mean, median & mode describe where a data set sits — and when the three disagree
  2. 2Variance measure how spread out the data is around its mean
  3. 3Interpolation estimate between known points — a proportion in disguise
  4. 4RREF the row-reduction engine that powers half of linear algebra
  5. 5Eigenvectors find a matrix's natural axes — built on RREF

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