Answer:

Now we can estimate the population variance with the sample variance given by:

And replacing we got:

And the estimator for the population deviation
is given by :

Step-by-step explanation:
For this case we have the following data given:
1.83,1.85,1.79,1.73,1.69,1.74,1.76,1.70
First we need to calculate the mean with the following formula:

And replacing we got:

Now we can estimate the population variance with the sample variance given by:

And replacing we got:

And the estimator for the population deviation
is given by :

Answer:
2 hours and 12minutes
Step-by-step explanation:
11 to 1 is 2 hours and 32-20is 12
Answer:
0.6826 = 68.26% probability that you have values in this interval.
Step-by-step explanation:
Normal Probability Distribution
Problems of normal distributions can be solved using the z-score formula.
In a set with mean
and standard deviation
, the z-score of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.
X~N(8, 1.5)
This means that 
What is the probability that you have values between (6.5, 9.5)?
This is the p-value of Z when X = 9.5 subtracted by the p-value of Z when X = 6.5. So
X = 9.5



has a p-value of 0.8413.
X = 6.5



has a p-value of 0.1587
0.8413 - 0.1587 = 0.6826
0.6826 = 68.26% probability that you have values in this interval.
Simplify Radicals of √200
Rewrite 200 as 10² *2
Factor 100 out of 200
√100(2)
Rewrite 100 as 10²
Pull terms out from under the radical.
10√2
The result can be written in both exact and decimal forms.
Exact Form
10√2 is your Answer
Decimal Form
14.14213562....
Answer:
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Step-by-step explanation: