Example : the stastistic data of the 5 kinds of drinks' sales amount | Variance | Standard Deviation | Coefficient of Variation | Standard Score | Drink1 | 25,755,372,038,383.60 | 4,858,918.71 | 20.77% | 1.26 | Drink2 | 49,357,069,381,855.50 | 6,726,364.57 | 29.89% | 1.59 | Drink3 | 94,878,250,059,735.30 | 9,325,863.46 | 15.75% | 1.59 | Drink4 | 19,763,095,814,600.90 | 4,256,309.57 | 37.60% | 1.66 | Drink5 | 2,162,473,262,665.10 | 1,407,930.10 | 16.05% | 1.18 |
The relationship between the drinks’ amount and temperatures in 2008 | Covariance | Coefficient of Correlation | Prediction (20 °C ) | real amount (20.93 °C ) | Drink1 | 16,708,807.30 | 87.04% | 21,900,764.52 | 18,780,549 | Drink2 | 18,587,647.57 | 69.94% | 20,251,385.45 | 20,156,333 | Drink3 | 28,268,961.85 | 76.72% | 56,848,961.01 | 57,655,433 | Drink4 | 14,291,341.37 | 84.99% | 10,230,755.28 | 13,452,666 | Drink5 | (1,378,169.50) | -24.78% | 8,422,760.36 | 8,195,125 |
|