Assume a continuous uniform probability distribution over the range [47, 51.5]. what is the skewness of the probability distribution?

The skewness of the probability distribution is zero (0)

Step-by-step explanation:

The skewness is an statistical measure of the asymmetry of your data and your corresponding probability distribution around the mean value. When the probability density function has large values the distribution is positively skewed ( probability is concentrated in the right) and when it has low values is negatively skewed (probability is concentrated in the left). When the probability function is symmetrical around the mean, that means that the image at the left or right of the mean is identical,  the skew is zero. That's the case with the uniform probability distribution, because all values are equally probable, so the density function is identical by the left and right of the mean, no matter the initial value (in this case 47) or final value (in this case 51.5). When this occurs skewness is zero (see image).

definition: a circle is the  set of all points in a plane that are equidistant  from a given  point  called the center of the circle. we use the symbol ⊙ to represent a circle. the a line segment from the center of the circle to  any point  on the circle is a radius of the circle.

step-by-step explanation:

i googled it and this is what i got i don't know how it is. sorry.