Answer:
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Step-by-step explanation:
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Here’s the answer hope it helped :)
Answer:
a. the less variability it has
Step-by-step explanation:
The standard deviation is a measure of the amount of variation or dispersion of a set of values.
When your standard deviation is big your data is more dispersed.
When your standar deviation is small your mean is a representative index of your data, and there is less variability.
If there was no dispersion of the data (if all your data be the same) then the standard deviation will be 0.
A whole number has a denominator of 1
Area of a square = side^2
area = 6.25^2 =
<span>
<span>
<span>
39.0625
</span>
</span>
</span>
square feet
= 39.06 (rounded)