maths.free › Statistics & Probability › Counting: permutations and combinations

Counting: permutations and combinations

Factorials, ordered and unordered selections.

n! counts the orderings of n things. Choosing k of them in order is n!/(n − k)!; ignoring the order divides by k! again, giving the binomial coefficient “n choose k”. These numbers are Pascal's triangle and the coefficients of (a + b)ⁿ.

Fungerat exempel · 5 choose 2

Discrete-Math · Counting

5 choose 2

5,\ 2

Steg för steg

  1. \binom{5}{2} = \frac{5!}{2!\,(5-2)!}

    Unordered selections: n! / (k! (n−k)!).

  2. = \frac{120}{2 \times 6} = 10

Avslöja svaret
\binom{5}{2} = 10

Nu är det din tur. Välj ett problem, skriv eller rita ditt eget. Varje steg, en bild, svaret dolt tills du frågar.

Fortsätt jobba.

Ett gratis konto lägger till anteckningar om varje lektion, en förteckning över vad du har avslutat, dina lösta problem på ett ställe, och en handledare du kan fråga om denna sida. Matematiken i sig är öppen för alla, inloggad eller inte.

Registrera dig Inloggning

Symboler som används här

Knacka på alla symboler för den fullständiga definitionen, en bild, och vad varje bokstav i den betyder.

Hur man: Counting: permutations and combinations

  1. Unordered selections: n! / (k! (n−k)!).

Frågor folk frågar

Mean or median, which should I use?

Median when the data have outliers or a long tail (incomes, house prices); mean when the data are roughly symmetric and you want every value to count. Report both if they disagree. The gap is itself information.

What does a p-value actually say?

The probability of seeing data at least this extreme if the null hypothesis were true. It is not the probability that the null hypothesis is true.

Why divide by n − 1 for the sample variance?

The sample mean sits closer to the sample than the true mean does, so squared deviations from it are slightly too small on average; dividing by n − 1 instead of n corrects the bias.

Mer information Statistics & Probability

Sampling and dataDescribing data with graphsMean, median and modeProbabilityDiscrete random variablesContinuous random variablesThe normal distributionThe central limit theoremConfidence intervalsHypothesis testingComparing two samplesChi-square testsLinear regression and correlationANOVA and the F distribution