Respuesta :
Answer:
0.74
Step-by-step explanation:
The standard deviation of a data set is the sqaure root of the variance, so first we must find the variance. The equation for variance is:
σ² = [tex]\frac{{(x_{1}-[x bar] )}^{2}+...+{(x_{n}-[x bar]) }^{2}}{n}[/tex]
x = number in the data set
xbar = median of the data set
n = number of terms
Plugging in the given values, the equation for the variance of this number set is:
σ² = [tex]\frac{(0.5 - 1.625)^{2} + (1.5 - 1.625)^{2}+ (2.0 - 1.625)^{2}+(2.5 - 1.625)^{2} }{4}[/tex]
Solving:
= [tex]\frac{1.265625+0.015625+0.140625+0.765625}{4}[/tex]
= [tex]\frac{2.1875}{4}[/tex]
σ² = 0.546875
Since the standard devianation is the sqaure root of the variance, we'll sqaure 0.546875:
[tex]\sqrt{0.546875}[/tex]
= 0.73950997288745
= 0.74 (rounded)
hope this helps!
Answer:
0.5
Step-by-step explanation
Because it is a standar deviation
