Let "X=" the average cholesterol content of a certain can goods in milligrams.
"X\\sim N(\\mu, \\sigma^2\/n)\\\\\\"
Then "Z=\\dfrac{X-\\mu}{\\sigma\/\\sqrt{n}}\\sim N(0. 1)"
Given that,
"X= 220\\\\\\mu=215\\\\\\sigma = 15\\\\n=25"
"z=\\dfrac{X-\\mu}{\\sigma\/\\sqrt n}=\\dfrac{220-215}{15\/\\sqrt{25}}=\\dfrac{25}{15}=1.67"
Thus, probability that mean of sample is greater than 220 mg is
"P(z>220)=P(z>1.67)"
So, from standard normal distribution table:
"P(z>1.67)=0.0475"
Hence, The probability that mean of sample is greater than 220 mg is 0.0475
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