Answer:
Option A is correct (0.018)
S.D≅0.018
Explanation:
Option A is correct (0.018)
General Formula for Standard Deviation is:
[tex]Standard\ Deviation=\sqrt{\frac{\sum_{i=1}^{n}(x_{i}-\bar x)^2}{n-1}}[/tex]
Where:
[tex]x_{i}[/tex] is the data value
[tex]\bar x[/tex] is the mean/average of data
n is the total number of data elements
Calculating [tex]\sum_{i=1}^{n}(x_{i}-\bar x)^2}[/tex]
[tex]\bar x=\frac{0.09+0.10+ 0.11+ 0.13+ 0.09+ 0.11+ 0.10+0.07}{8} \\\bar x=0.1[/tex]
[tex]\sum_{i=1}^{n}(x_{i}-\bar x)^2}=(0.09-0.1)^2+(0.1-0.1)^2+(0.11-0.1)^2+(0.13-0.1)^2+(0.09-0.1)^2+(0.11-0.1)^2+(0.1-0.1)^2+(0.07-0.1)^2\\\sum_{i=1}^{n}(x_{i}-\bar x)^2}=2.2*10^{-3}[/tex]
Calculating n-1:
Total number of terms=8
n-1=8-1=7
Standard Deviation is:
[tex]S.D=\sqrt{\frac{2.2*10^{-3}}{7}}\\S.D=0.0177[/tex]
S.D≅0.018