QUESTION IMAGE
Question
- suspension bridges the lengths (in feet) of the main span of the longest suspension bridges in the united states and the rest of the world are shown below. which set of data is more variable? united states 4205, 4200, 3800, 3500, 3478, 2800, 2800, 2310 world 6570, 5538, 5328, 4888, 4626, 4544, 4518, 3970
Step1: Calculate the mean for the United States data
Let \(x_{1},x_{2},\cdots,x_{n}\) be the data points. The mean formula is \(\bar{x}=\frac{\sum_{i = 1}^{n}x_{i}}{n}\).
For the United States data \(n = 7\), \(\sum_{i=1}^{7}x_{i}=4205 + 4200+3800+3500+3478+2800+2310=24293\)
\(\bar{x}_{US}=\frac{24293}{7}\approx3470.43\)
Step2: Calculate the variance for the United States data
The variance formula is \(s^{2}=\frac{\sum_{i = 1}^{n}(x_{i}-\bar{x})^{2}}{n - 1}\)
\((4205 - 3470.43)^{2}+(4200 - 3470.43)^{2}+(3800 - 3470.43)^{2}+(3500 - 3470.43)^{2}+(3478 - 3470.43)^{2}+(2800 - 3470.43)^{2}+(2310 - 3470.43)^{2}\)
\(=734.57^{2}+729.57^{2}+329.57^{2}+29.57^{2}+7.57^{2}+(- 670.43)^{2}+(-1160.43)^{2}\)
\(=539699.08 + 532272.48+108616.18+874.38+57.3+449476.38+1346603.78\)
\(\sum_{i = 1}^{7}(x_{i}-\bar{x})^{2}=3017600\)
\(s_{US}^{2}=\frac{3017600}{6}\approx502933.33\), \(s_{US}\approx709.2\)
Step3: Calculate the mean for the World data
For the World data \(n = 8\), \(\sum_{i=1}^{8}x_{i}=6570+5538+5328+4888+4626+4544+4518+3970 = 39982\)
\(\bar{x}_{World}=\frac{39982}{8}=4997.75\)
Step4: Calculate the variance for the World data
\((6570 - 4997.75)^{2}+(5538 - 4997.75)^{2}+(5328 - 4997.75)^{2}+(4888 - 4997.75)^{2}+(4626 - 4997.75)^{2}+(4544 - 4997.75)^{2}+(4518 - 4997.75)^{2}+(3970 - 4997.75)^{2}\)
\(=1572.25^{2}+540.25^{2}+330.25^{2}+(-109.75)^{2}+(-371.75)^{2}+(-453.75)^{2}+(-479.75)^{2}+(-1027.75)^{2}\)
\(=2472900.06+291870.06+109065.06+12045.06+138208.06+205889.06+229160.06+1056270.06\)
\(\sum_{i = 1}^{8}(x_{i}-\bar{x})^{2}=4524467.5\)
\(s_{World}^{2}=\frac{4524467.5}{7}\approx646352.5\), \(s_{World}\approx803.2\)
Since \(s_{World}\approx803.2>s_{US}\approx709.2\)
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The data for the rest of the world is more variable.