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  1. 1Probability of even on a die
  2. 2P(sum=7)P(\text{sum} = 7) with two dice
  3. 3Sum of two dice ≥10\ge 10
  4. 4Exactly 2 heads in 3 tosses
  5. 5Binomial probability P(X=5)P(X = 5)
  6. 6Binomial P(X=0)P(X = 0)
  7. 7Binomial P(X≥1)P(X \ge 1)
  8. 8Mean and variance, Binomial
  9. 9Poisson P(X=0)P(X = 0)
  10. 10Poisson probability P(X=2)P(X = 2)
  11. 11Poisson P(X≤1)P(X \le 1)
  12. 12Expected value, geometric distribution
  13. 13Choosing 3 from 10
  14. 15Choosing 2 women, 1 man
  15. 17At least one six in 4 rolls
  16. 19Conditional probability P(A∣B)P(A \mid B)
  17. 20Union of independent events
  18. 24Expected value of a die
  19. 25Variance of a die roll
  20. 26Expected value of XX
  21. 27Variance of a discrete XX
  22. 28Linear transform of E[X]E[X] and Var(X)\mathrm{Var}(X)
  23. 29Variance of independent sum
  24. 30Uniform probability P(X>7)P(X > 7)
  25. 31Uniform mean and variance
  26. 32Exponential tail probability
  27. 33Exponential wait probability
  28. 36Probability from a density
  29. 37Normal probability, zz-score
  30. 38Normal probability, 40<X<6040 < X < 60
  31. 39zz-score of a normal value
  32. 40Standard error of the mean
  33. 43Sample mean and variance
  34. 44Median of a data set
  35. 47Independence of two events
  36. 49Expected heads in 50 tosses
  37. 52Bayes with a probability tree

26Expected value of XX

X\displaystyle X takes values 0,1,2\displaystyle 0, 1, 2 with probabilities 0.2,0.5,0.3\displaystyle 0.2, 0.5, 0.3. Find E[X]\displaystyle E[X].

E[X] is the average value weighted by probability: multiply each value by its chance and add them up. That gives 0(0.2) + 1(0.5) + 2(0.3) = 1.1. Check: the probabilities 0.2+0.5+0.3=1, confirming a valid distribution.

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