In: Statistics and Probability
The mean cholesterol levels of women age 45-59 in Ghana, Nigeria, and Seychelles is 5.1 mmol/l and the standard deviation is 1.0 mmol/l (Lawes, Hoorn, Law & Rodgers, 2004). Assume that cholesterol levels are normally distributed.
I'm answering these questions using the "normalcdf" function in my TI-84. I'm not sure how to get the new standard deviation/numbers I'm averaging for 2 and 3.
Given and
The probability that a woman age 45-59 in Ghana has a cholesterol level above 6.2 mmol/l (considered a high level) is 0.1357.
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For next two parts, recall central limit theorem.
"The Central limit theorem states that the sampling distribution of the sample mean is approximately normally distributed with mean μ and standard deviation σ/√n if either n is large or population is normal."
The standard deviation for woman’s mean cholesterol level for the two tests, , is:
In calculator, we can directly enter this expression (screenshot attached) in place of standard deviation to avoid round off error.
The probability that this woman’s mean cholesterol level for the two tests is above 6.2 mmol/l is 0.0599.
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The standard deviation for woman’s mean cholesterol level for the two tests, , is:
In calculator, we can directly enter this expression (screenshot attached) in place of standard deviation to avoid round off error.
The probability that this woman’s mean cholesterol level for the three tests is above 6.2 mmol/l is 0.0284.