The number of samples confidence intervals would you expect to contain population mean is 136.
<h3>How to estimate the number of sample confidence intervals?</h3>
According to the Empirical rule, if data exists normally distributed then about 68% of the population lies within one standard deviation from the mean.
We assume that the mean of a normally distributed population exists at 300, and 200 simple random samples exist drawn from the population.
Number of simple random samples, n= 200
By Empirical rule, approximately 68% of 200 samples’ confidence intervals we would expect to have the population mean.
Required number of samples = 68% of 200
= 0.68 x 200 = 136
The required number of samples = 136
Therefore, the correct answer is option C) 136.
To learn more about empirical rule refer to:
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Z + ZF = 50
10 + 40 = 50
Z*ZF= 400
10*40= 400
Z represents Zarinas age and ZF represents her fathers age.
Let the unknown number be denoted by x then,
36-25x=-114
150 = 25x
x=6
Answer:
And we can find this probability with this difference:
Step-by-step explanation:
Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:
Where and
We are interested on this probability
And we can use the z score formula given by:
If we apply this formula to our probability we got this:
And we can find this probability with this difference: