變異數與標準差

Statistical Thinking in Python (Part 1)

Justin Bois

Teaching Professor at the California Institute of Technology

2008 年美國搖擺州選舉結果

ch2-3_v2.003.png

1 資料來源:Data.gov(https://www.data.gov/)
Statistical Thinking in Python (Part 1)

變異數

  • 資料到其平均數的平方距離之平均
  • 非正式地,用來衡量資料分散程度
Statistical Thinking in Python (Part 1)

2008 年佛羅里達州選舉結果

ch2-3_v2.007.png

1 資料來源:Data.gov(https://www.data.gov/)
Statistical Thinking in Python (Part 1)

2008 年佛羅里達州選舉結果

ch2-3_v2.008.png

$$variance = \frac{1}{n}\sum_{i=1}^{n}(x_i - \bar{x})^2$$

1 資料來源:Data.gov(https://www.data.gov/)
Statistical Thinking in Python (Part 1)

計算變異數

np.var(dem_share_FL)
147.44278618846064
Statistical Thinking in Python (Part 1)

計算標準差

np.std(dem_share_FL)
12.142602117687158
np.sqrt(np.var(dem_share_FL))
12.142602117687158
Statistical Thinking in Python (Part 1)

2008 年佛羅里達州選舉結果

ch2-3_v2.013.png

1 資料來源:Data.gov(https://www.data.gov/)
Statistical Thinking in Python (Part 1)

一起來練習吧!

Statistical Thinking in Python (Part 1)

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