The kind of statistics that provides a description that illuminates some characteristic of a numerical dataset and has an estimate is called descriptive.
<h3>What does descriptive statistics mean?</h3>
Descriptive statistics is a branch of statistics field that sheds light on a given feature of datasets.
Descriptive statistics uses numerical coefficients to analyze datasets that may represent the overall population or only a sample.
In conclusion, the statistics that provides a description that illuminates some characteristic of a numerical dataset is called descriptive.
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Answer:
See the proof below.
Step-by-step explanation:
For this case we just need to apply properties of expected value. We know that the estimator is given by:

And we want to proof that 
So we can begin with this:

And we can distribute the expected value into the temrs like this:

And we know that the expected value for the estimator of the variance s is
, or in other way
so if we apply this property here we have:

And we know that
so using this we can take common factor like this:

And then we see that the pooled variance is an unbiased estimator for the population variance when we have two population with the same variance.
Answer:
Step-by-step explanation:
$ 29.96
Answer:
-9
Step-by-step explanation:
2 - 3 + (-5) +(-3)
= 2 - 3 -5 -3
= 2 - 11
= -9
Answer:
C. 9
Step-by-step explanation:
15/100*60
3/20*60
180/20
9