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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

38Normal probability, 40<X<6040 < X < 60

X∼N(50,102)\displaystyle X \sim N(50, 10^2). Using Φ(1)=0.8413\displaystyle \Phi(1) = 0.8413, find P(40<X<60)\displaystyle P(40 < X < 60).

Standardise 40 and 60 into z-scores: z = (x−50)/10 gives z = −1 and z = 1. Then P(40<X<60) = 2Φ(1) − 1 = 2(0.8413) − 1 = 0.6826, matching the 68% rule within one standard deviation.

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