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Course: Statistics — Third Secondary
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The Normal Distribution and Its Applications

Statistics — Third Secondary

The Normal Distribution and Its Applications

Lesson summary

Lesson summary

  • The normal distribution is continuous and symmetric about the mean, and the total area under its curve equals 1.
  • The standard normal variable Z has mean 0 and standard deviation 1.
  • Conversion Z = (X − μ) ÷ σ, then the table of areas between 0 and z is used.
  • P(Z ≥ a) = 0.5 − P(0 ≤ Z ≤ a), and P(−a ≤ Z ≤ a) = 2 P(0 ≤ Z ≤ a).
  • To find a value whose probability is known, the steps are reversed using X = μ + zσ.
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