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Sagot :
Answer:
The standard error of the sample mean (S.E) = 0.7835
Step-by-step explanation:
Explanation:-
Given mean of the Population = 62.95 inches
Given standard deviation of the Population = 5.65 inches
The standard error of the sample mean is determined by
[tex]S.E = \frac{S.D}{\sqrt{n} }[/tex]
[tex]S.E = \frac{5.65}{\sqrt{52} } = 0.7835[/tex]
The standard error of the sample mean is approximately (S.E) = 0.7835.
What is the standard error?
It is an estimate of the standard deviation of the sampling distribution. It measures the variability of a considered sample statistic.
Supopse that we're given that:
Population standard deviation =[tex]\sigma[/tex]
Size of sample we're working on = n
Then, the standard error can be calculated as:
[tex]SE = \dfrac{\sigma}{\sqrt{n}}[/tex]
where SE denotes the standard error.
A track coach is gathering data on the stride length of each of her 52 team members when running a distance of 500 meters.
The population means is 62.95 inches with a standard deviation of 5.65 inches.
The mean of the Population = 62.95 inches
The standard deviation of the Population = 5.65 inches
The standard error of the sample mean can be determined by
[tex]= \dfrac{Standard deviation }{\sqrt{sample size}}\\\\\\= \dfrac{5.65 }{\sqrt{52}}\\= 0.7835140[/tex]
Learn more about standard error here:
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