2016年12月10日 星期六

繼續研讀 Applied Statistics for The Behavioral Sciences


  • Chapter 4 The Normal Distribution
  • 3:50-8:50
常態分布的通用公式與圖形

給定一平均值與一標準差時,可得一特定的常態分布圖形





  • The Nature of the Normal Distribution
    • The Family of  Normal Distributions
      • The normal distribution is not a single distribution but a family of distributions, each of which is determined by its mean and standard deviation.
    • Properties of the Normal Distribution 
      • A normal distribution is unimodal (having one mode), symmetrical (that is, the left and right halves are mirror images), and bell shaped, with its maximum height at the mean.
      • A normal distribution is continuous. There is a value of Y (the height) for every value of X where X is assumed to be a continuous rather than a discrete variable. 
      • A normal distribution is asymptotic to the X axis. This means that the farther the curve goes from the mean, the closer it gets to the X axis; but the curve never touches the X axis, no matter how far a particular score is from the mean of the distribution.
  • The Standard Normal Distribution
    • The standard normal distribution or unit normal distribution is the distribution of normally distributed standard scores with a mean equal to 0 and a standard deviation equal to 1.


常態分配的公式怎麼推導出來?
  • 首先用中心極限定理推導出這種分佈的機率密度函數正比於,然後透過平移、縮放,最後調整外圍的那個常數使其包圍著的面積是1而得來。 
  • 平移與平均值有關。縮放與標準差有關,使面積為1的係數也與標準差有關。
  • 機率論大數定律

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