Answer:
![s= √(80.568)=8.97](https://img.qammunity.org/2021/formulas/mathematics/college/b3wrnuf4qgp6dch6hx2kte0t176laevo33.png)
![Median =(1+3)/(2)=2](https://img.qammunity.org/2021/formulas/mathematics/college/jmac545slv4niha9l12ivqvslm7nrhdcio.png)
Explanation:
For this case we have the following data:
1.0 -5 3.0 -8 14 -11 12 0 16 -2 12 7
And ordering this data we have:
-11 -8 -5 -2 0 1 3 7 12 12 14 16
And we are interested in find the standard deviation for the sample data. In order to do this the first step is find the mean given by this formula:
![\bar X =(\sum_(i=1)^n X_i)/(n)=(1-5+3-8+14-11+12+0+16-2+12+7)/(12)=3.25](https://img.qammunity.org/2021/formulas/mathematics/college/u62v6p4icvdlj08vjv7arwwjqdzzzfs4j3.png)
Now with the sample mean we can calculate the sample variance with the following formula:
![s^2 = (\sum_(i=1)^n (X_i -\bar X)^2)/(n-1)](https://img.qammunity.org/2021/formulas/mathematics/college/jgf474ogg5nmrf3tbxobq9qbe2enlpzg2c.png)
And if we replace we got:
![s^2 =80.568](https://img.qammunity.org/2021/formulas/mathematics/college/t0jtkuhlqx9nsb0ow90rx95gv0a5gbpgiq.png)
And for the sample deviation we just need to take the square root of the sample variance and we got:
![s= √(80.568)=8.97](https://img.qammunity.org/2021/formulas/mathematics/college/b3wrnuf4qgp6dch6hx2kte0t176laevo33.png)
The median on this case would be given by:
![Median =(1+3)/(2)=2](https://img.qammunity.org/2021/formulas/mathematics/college/jmac545slv4niha9l12ivqvslm7nrhdcio.png)
Using the positions 5 and 6 for the average since the sample size is an even number.