SOLUTION: Please Help
Consider a normal population with µ = 25 and σ = 7.0.
(A) Calculate the standard score for a value x of 24.
(B) Calculate the standard score for a randoml
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-> SOLUTION: Please Help
Consider a normal population with µ = 25 and σ = 7.0.
(A) Calculate the standard score for a value x of 24.
(B) Calculate the standard score for a randoml
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Question 638353: Please Help
Consider a normal population with µ = 25 and σ = 7.0.
(A) Calculate the standard score for a value x of 24.
(B) Calculate the standard score for a randomly selected sample of 30 with x = 24.
(C) Explain why the standard scores of 24 are different between A and B above.
This is what I have but am not sure if it correct.
(A) z(24)= (24-25)/7
(-1)/7=-0.1429
(B) z(24) = (24-25)/(7/sqrt30)
(-1)/(7/900)
(-1)/(128)=-0.0078
(C) The sample mean is the same as the population mean and the sample mean standard deviation is sqrt(n). Answer by jim_thompson5910(35256) (Show Source):
C)
The difference between the two is that the standard deviations aren't the same. In the first, the standard deviation is simply sigma. In the second, the standard deviation is sigma/sqrt(n) -- this is known as the standard error of the mean. This affects the shape/spread of the distribution, which in turn affects how far the data value is from the mean. This then changes/affects the z-score.