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OpenStem
@openstem · Joined Jul 2026
7420 public items8 groups
Note~479 words · 2 min
Pick the shape before you start writing Most stuck proofs are stuck because the wrong technique was chosen in the first thirty seconds. The statement's form usually tells you which one to reach for. Direct proof Assume the hypothesis, walk
Mathematics · L4 · Mathematical proof techniques
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Mathematics · L4 · Mathematical proof techniquesNote~424 words · 2 min
The most-used and most-misread number in statistics. Here's what it actually says. Definition The p-value is the probability of a test statistic at least this extreme, assuming H₀ is true. That z is a position on the curve below. Slide the
Mathematics · L4 · p-values and statistical significance: what they really mean
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Mathematics · L4 · p-values and statistical significance: what they really meanNote~395 words · 2 min
One formula, and what each piece is called The denominator comes from the law of total probability: P(E) = ΣP(E|Hᵢ)P(Hᵢ). It's the normalising sum over every hypothesis you're considering. The medical test that catches everyone out Updating
Mathematics · L4 · Bayes' theorem: updating beliefs with evidence
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Mathematics · L4 · Bayes' theorem: updating beliefs with evidenceNote~385 words · 2 min
The right chart makes the finding obvious. The wrong one hides it, or worse, invents one. Start from your data type and your question, not from the chart you feel like drawing. Distribution of a single variable Relationship between two vari
Mathematics · L4 · Data visualisation: choosing the right chart
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Mathematics · L4 · Data visualisation: choosing the right chartNote~455 words · 2 min
A differential equation ties a function to its own rate of change. Separable equations An ODE is separable if it can be written . Move all the y-terms to one side and all the x-terms to the other, then integrate both sides independently: W
Mathematics · L4 · Solving first-order differential equations
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Mathematics · L4 · Solving first-order differential equationsNote~392 words · 2 min
The derivative becomes a vector In one variable, the derivative is a number. In several, there's a rate of change in every direction, so "the derivative" becomes a whole vector of partials. Geometrically: slice the surface z = f(x,y) with t
Mathematics · L4 · Partial derivatives, gradients, and multivariable optimization
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Mathematics · L4 · Partial derivatives, gradients, and multivariable optimizationNote~306 words · 2 min
Four axioms, and that's the entire definition A group is a set G with one binary operation ·. Four requirements, nothing else. Add commutativity (a·b = b·a) and the group is called abelian. Notice it isn't one of the four. The first example
Mathematics · L5 · Groups: Axioms and First Examples
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Mathematics · L5 · Groups: Axioms and First ExamplesNote~349 words · 2 min
What a σ-algebra is for You can't consistently assign a length to every subset of ℝ. A σ-algebra is the collection of sets you agree to measure, chosen so the operations you need stay inside it. The pair (X, ℱ) is a measurable space. A meas
Mathematics · L5 · Measure & the Lebesgue Integral
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Mathematics · L5 · Measure & the Lebesgue IntegralNote~376 words · 2 min
Probability is measure theory with one extra axiom A probability space is a triple (Ω, ℱ, P). Everything else is bookkeeping on top of it. That P(Ω) = 1 is the only difference from a general measure space. Everything from measure theory car
Mathematics · L5 · Measure-Theoretic Probability: Foundations
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Mathematics · L5 · Measure-Theoretic Probability: FoundationsNote~349 words · 2 min
The problem MCMC solves You know the posterior π(θ|data) only up to a normalising constant, because the denominator is an integral you can't do. Direct sampling is out. So build a Markov chain whose stationary distribution is π, run it, and
Mathematics · L5 · Bayesian Computation: MCMC
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Mathematics · L5 · Bayesian Computation: MCMCNote~357 words · 2 min
Potential outcomes Every unit i has two outcomes waiting: Y_i(1) if treated, Y_i(0) if not. The individual effect is their difference. What you can recover is an average, because averages only need each unit to contribute one arm. Which ave
Mathematics · L5 · Causal Inference: Potential Outcomes
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Mathematics · L5 · Causal Inference: Potential OutcomesNote~454 words · 2 min
Throwing away distance Topology asks what survives if you keep only the notion of "open" and discard distance entirely. The answer is nearly everything that matters: continuity, connectedness, compactness. The three axioms A topology τ on a
Mathematics · L5 · Point-Set Topology: Open Sets, Continuity, and Compactness
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Mathematics · L5 · Point-Set Topology: Open Sets, Continuity, and CompactnessNote~447 words · 2 min
One extra requirement, enormous consequences Complex differentiability demands the limit be the same no matter which direction h approaches 0 from. In ℝ there are only two directions. In ℂ there are infinitely many, and forcing them all to
Mathematics · L5 · Complex Analysis: Holomorphic Functions and Cauchy's Theorem
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Mathematics · L5 · Complex Analysis: Holomorphic Functions and Cauchy's TheoremNote~378 words · 2 min
The property that makes optimisation tractable Convexity is the line between problems you can solve and problems that are, in general, hopeless. In a convex problem the local view IS the global view, which is exactly what lets a gradient me
Mathematics · L5 · Convex Optimization: Convexity, Duality, and KKT Conditions
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Mathematics · L5 · Convex Optimization: Convexity, Duality, and KKT ConditionsPlot1 plot · 1 param
Mathematics · L2 · Proportions Are Straight Lines
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Mathematics · L2 · Proportions Are Straight LinesPlotPlot
Mathematics · L2 · Reading a Scatter Plot
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Mathematics · L2 · Reading a Scatter PlotPlot1 plot · 2 params
Mathematics · L3 · Slope & Intercept: y = m·x + b
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Mathematics · L3 · Slope & Intercept: y = m·x + bPlot1 plot · 3 params
Mathematics · L3 · The Parabola: y = a·x² + b·x + c
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Mathematics · L3 · The Parabola: y = a·x² + b·x + cPlot3 segments
Mathematics · L3 · A Right Triangle on the Grid
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Mathematics · L3 · A Right Triangle on the GridPlot1 plot · 2 params
Mathematics · L3 · The Sine Wave: y = a·sin(b·x)
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Mathematics · L3 · The Sine Wave: y = a·sin(b·x)Plot1 plot · 2 params
Mathematics · L3 · The Cosine Wave: y = a·cos(b·x)
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Mathematics · L3 · The Cosine Wave: y = a·cos(b·x)Plot1 plot · 1 param
Mathematics · L3 · Exponential Growth: y = b^x
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Mathematics · L3 · Exponential Growth: y = b^xPlot1 plot · 1 param
Mathematics · L3 · The Logarithm: y = a·ln(x)
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Mathematics · L3 · The Logarithm: y = a·ln(x)Plot1 plot · 2 params
Normal Distribution: exp(−(x−μ)²/(2σ²))
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Normal Distribution: exp(−(x−μ)²/(2σ²))Plot1 plot · 2 params
Linear Regression: y = m·x + b
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Linear Regression: y = m·x + bPlot1 plot · 1 param
Exponential Decay: y = e^(−k·x)
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Exponential Decay: y = e^(−k·x)Plot1 plot · 2 params
Mathematics · L5 · Normal Density: shift the mean μ and scale σ
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Mathematics · L5 · Normal Density: shift the mean μ and scale σFlowchart15 objects
Mathematics · L3 · Absolute Value: Equation vs '<' vs '>'
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Mathematics · L3 · Absolute Value: Equation vs '<' vs '>'