QUESTION IMAGE
Question
sports car or convertible? the following table presents the fuel efficiency, in miles per gallon, for a sample of convertibles and
| convertible model | mpg | sports model | mpg |
|---|---|---|---|
| ford mustang v6 | 25 | bmw 135i | 23 |
| mini cooper | 25 | mazda mazdaspeed | 24 |
| saab 9 - 3 | 24 | subaru impreza wrx sti | 21 |
| ford mustang v6 | 21 | mazda rx - 8 | 18 |
| bmw 328i | 21 | mitsubishi lancer evolution | 21 |
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part 1 of 2
(a) find the sample standard deviation of the mileage for the sample of convertibles. round the answer to at least one decimal
the sample standard deviation of the mileage for the sample of convertibles is 2.2.
part: 1 / 2
part 2 of 2
(b) find the sample standard deviation of the mileage for the sample of sports cars. round the answer to at least one decimal p
the sample standard deviation of the mileage for the sample of sports car is .
Step1: Calculate mean for sports cars
Let the MPG values for sports cars be $x_1 = 27,x_2=23,x_3 = 24,x_4=21,x_5=18,x_6=21$. The mean $\bar{x}=\frac{27 + 23+24+21+18+21}{6}=\frac{134}{6}\approx22.33$.
Step2: Calculate squared - differences
$(x_1-\bar{x})^2=(27 - 22.33)^2=(4.67)^2 = 21.8089$, $(x_2-\bar{x})^2=(23 - 22.33)^2=(0.67)^2=0.4489$, $(x_3-\bar{x})^2=(24 - 22.33)^2=(1.67)^2 = 2.7889$, $(x_4-\bar{x})^2=(21 - 22.33)^2=(-1.33)^2 = 1.7689$, $(x_5-\bar{x})^2=(18 - 22.33)^2=(-4.33)^2 = 18.7489$, $(x_6-\bar{x})^2=(21 - 22.33)^2=(-1.33)^2 = 1.7689$.
Step3: Calculate sum of squared - differences
$\sum_{i = 1}^{6}(x_i-\bar{x})^2=21.8089+0.4489+2.7889+1.7689+18.7489+1.7689 = 47.3334$.
Step4: Calculate sample variance
The sample variance $s^2=\frac{\sum_{i = 1}^{n}(x_i-\bar{x})^2}{n - 1}=\frac{47.3334}{6 - 1}=\frac{47.3334}{5}=9.46668$.
Step5: Calculate sample standard deviation
The sample standard deviation $s=\sqrt{s^2}=\sqrt{9.46668}\approx3.1$.
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$3.1$