The average number of miligrams (mg) of cholesterol in a cup of a certain brand of ice cream is 660 mg, the standard deviation is 35 mg. Assume the variable is normally distributed.
A. If a cup of ice cream is selected, what is the probability that the cholesterol content will be more than 670 mg?
B. If a sample of 10 cups of ice cream is selected, what is the probability that the mean of the sample will be larger that 670 mg?
Given "\\mu=660\\ mg, \\sigma=35\\ mg, n=10"
"Z=\\frac {X-\\mu}{\\sigma\/\\sqrt{n}}\n\u200b"
A. "P(X>670)=P(Z>\\frac{670-660}{35})=P(Z>0.29)=1-P(Z<0.29)=0.3859."
(We found P using z-score table)
The probability that the cholesterol content will be more than 670 mg is 0.3859.
B.
(We found P using z-score table)
The probability that the mean of the sample will be larger than 670 mg is 0.1831.
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