Given:
[tex]9.5,9.1,9.7,9.5,9.2,10.5,10.3,9.1,9.9,9.5,8.7[/tex]
Explanation:
a) To find: Range
The range formula is,
[tex]\begin{gathered} R=Largest\text{ value-Smallest value} \\ =10.5-8.7 \\ =1.8 \end{gathered}[/tex]
Therefore, the range of the data is 1.8.
b) To find: The standard deviation.
The formula is,
[tex]\sigma=\sqrt{\frac{\sum_{i=1}^n(x-\bar{x})^2}{N-1}}[/tex]
Here,
[tex]\begin{gathered} Numbe\text{r of data, N=11} \\ Mean,\bar{x}=\frac{\sum^x}{N}=\frac{105}{11}\approx9.55 \end{gathered}[/tex]
On substitution we get,
[tex]\begin{gathered} \sigma=\sqrt{\frac{(9.5-9.55)^2+(9.1-9.55)^2+(9.7-9.55)^2+(9.5-9.55)^2+(9.2-9.55)^2+(10.5-9.55)^2+(10.3-9.55)^2+(9.1-9.55)^2+(9.9-9.55)^2+(9.5-9.55)^2+(8.7-9.55)^2}{11-1}} \\ =\sqrt{\frac{2.86727}{10}} \\ =\sqrt{0.286727} \\ =0.5354 \\ \sigma\approx0.54 \end{gathered}[/tex]
Therefore, the standard deviation for the given data is,
[tex]\sigma\approx0.54[/tex]
c) To find: Variance
Since the standard deviation is 0.54.
So, the variance becomes,
[tex]\begin{gathered} \sigma=0.54 \\ Variance,\sigma^2\approx0.29 \end{gathered}[/tex]
Final answer:
• The range of the data is 1.8.
,
• The standard deviation for the given data is 0.54.
,
• The variance for the given data is 0.29.