Answer: Measures of variability are used to characterize how the data are spread around the mean of the distribution.
Step-by-step explanation:The measures of average such as the median and mean represent the typical value for a dataset.However , In the dataset the actual values usually differ from one another and from the average value itself.
In this case the measure of spread, sometimes also called a measure of dispersion, is used to describe the variability in a sample or population around the mean .
Answer:
For any method or algorithm, there will always be changes, as there are many ways to create on request, and one method might be better than the other.
I discovered that direct instruction is important by designing my own algorithm.
It is the use of simple, direct teaching methods, usually in order to teach a particular skill.
1 (8/9) = 1.88888888
3 (11/12) = 3<span><span>.9166666667
</span>
</span>
3<span>.91666 / </span>1.8888 =
<span>
<span>
<span>
2.0735294118
</span>
</span>
</span>
So, she can make 2 batches of cupcakes.
X = 75% * y
Where 'x' is the single tennis court width, and 'y' is the doubles tennis court width.
Plug in what we know:
27 = 75% * y
75% = 0.75
27 = 0.75 * y
27 = 0.75y
Divide 0.75 to both sides:
y = 36
So the doubles court is 36 feet wide.
