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find the variance of the data set below. if necessary, round to the nea…

Question

find the variance of the data set below. if necessary, round to the nearest hundredth.
26, 33, 43, 25, 35, 46, 37, 31, 28, 37

question 13
2 pts
find the variance of the data set below. if necessary, round to the nearest hundredth.
33, 36, 40, 43, 43, 45, 46, 50, 50, 51, 53, 53

question 14
2 pts
find the variance of the data set below. if necessary, round to the nearest hundredth.
64, 69, 73, 76, 77, 77, 87, 89

Explanation:

Step1: Calculate the mean

For the first data set \(26,33,43,25,35,46,37,31,28,37\):
The mean \(\bar{x}=\frac{26 + 33+43+25+35+46+37+31+28+37}{10}=\frac{341}{10}=34.1\)
For the second data set \(33,36,40,43,43,45,46,50,50,51,53,53\):
The mean \(\bar{x}=\frac{33 + 36+40+43+43+45+46+50+50+51+53+53}{12}=\frac{543}{12}=45.25\)
For the third data set \(64,69,73,76,77,77,87,89\):
The mean \(\bar{x}=\frac{64 + 69+73+76+77+77+87+89}{8}=\frac{612}{8}=76.5\)

Step2: Calculate the variance

The formula for variance \(s^{2}=\frac{\sum_{i = 1}^{n}(x_{i}-\bar{x})^{2}}{n}\)

  • First data set:

\(\sum_{i=1}^{10}(x_{i}-\bar{x})^{2}=(26 - 34.1)^{2}+(33 - 34.1)^{2}+(43 - 34.1)^{2}+(25 - 34.1)^{2}+(35 - 34.1)^{2}+(46 - 34.1)^{2}+(37 - 34.1)^{2}+(31 - 34.1)^{2}+(28 - 34.1)^{2}+(37 - 34.1)^{2}\)
\(=(-8.1)^{2}+(-1.1)^{2}+(8.9)^{2}+(-9.1)^{2}+(0.9)^{2}+(11.9)^{2}+(2.9)^{2}+(-3.1)^{2}+(-6.1)^{2}+(2.9)^{2}\)
\(=65.61+1.21 + 79.21+82.81+0.81+141.61+8.41+9.61+37.21+8.41\)
\(=434.9\)
\(s^{2}=\frac{434.9}{10}=43.49\)

  • Second data set:

\(\sum_{i = 1}^{12}(x_{i}-\bar{x})^{2}=(33 - 45.25)^{2}+(36 - 45.25)^{2}+(40 - 45.25)^{2}+(43 - 45.25)^{2}+(43 - 45.25)^{2}+(45 - 45.25)^{2}+(46 - 45.25)^{2}+(50 - 45.25)^{2}+(50 - 45.25)^{2}+(51 - 45.25)^{2}+(53 - 45.25)^{2}+(53 - 45.25)^{2}\)
\(=(-12.25)^{2}+(-9.25)^{2}+(-5.25)^{2}+(-2.25)^{2}+(-2.25)^{2}+(-0.25)^{2}+(0.75)^{2}+(4.75)^{2}+(4.75)^{2}+(5.75)^{2}+(7.75)^{2}+(7.75)^{2}\)
\(=150.0625+85.5625+27.5625+5.0625+5.0625+0.0625+0.5625+22.5625+22.5625+33.0625+60.0625+60.0625\)
\(=472.25\)
\(s^{2}=\frac{472.25}{12}\approx39.35\)

  • Third data set:

\(\sum_{i=1}^{8}(x_{i}-\bar{x})^{2}=(64 - 76.5)^{2}+(69 - 76.5)^{2}+(73 - 76.5)^{2}+(76 - 76.5)^{2}+(77 - 76.5)^{2}+(77 - 76.5)^{2}+(87 - 76.5)^{2}+(89 - 76.5)^{2}\)
\(=(-12.5)^{2}+(-7.5)^{2}+(-3.5)^{2}+(-0.5)^{2}+(0.5)^{2}+(0.5)^{2}+(10.5)^{2}+(12.5)^{2}\)
\(=156.25+56.25+12.25+0.25+0.25+0.25+110.25+156.25\)
\(=492\)
\(s^{2}=\frac{492}{8}=61.5\)

Answer:

43.49, 39.35, 61.5