ANSWER
s = 7.38
EXPLANATION
The standard deviation, s, of a sample is the square root of the variance, s²,
[tex]s^2=\frac{1}{n-1}\sum_{i\mathop{=}1}^n(x_i-\bar{x})^2[/tex]Where n is the number of data, 5, and x with the line on top is the mean,
[tex]\bar{x}=\frac{14+16+13+31+21}{5}=19[/tex]So the variance is,
[tex]s^2=\frac{1}{5-1}((14-19)^2+(16-19)^2+(13-19)^2+(31-19)^2+(21-19)^2)[/tex]Solve the subtractions,
[tex]s^2=\frac{1}{4}((-5)^2+(-3)^2+(-6)^2+(12)^2+(2)^2)[/tex]Solve the squares, add and divide by 4,
[tex]s^2=\frac{1}{4}(25+9+36+144+4)=\frac{218}{4}=54.5[/tex]Finally, to find the standard deviation, take the square root,
[tex]s=\sqrt{54.5}\approx7.38[/tex]Hence, the standard deviation is 7.38, rounded to the nearest hundredth.