Suppose we assume that the temperatures of healthy humans is approximately normal with a mean of 98.65 degrees and a standard deviation of 0.8 degrees. If 50 healthy people are selected at random, what is the probability that the average temperature for these people is 98.45 degrees or higher?
"\\mu = 98.65 \\\\\n\n\\sigma = 0.8 \\\\\n\nn = 50"
The mean of the sampling distribution of the sample mean is equal to the population mean:
"\\mu_{\\bar{x}} = \\mu"
The standard deviation of the sampling distribution of the sample mean:
"\\sigma_{\\bar{x}} = \\frac{\\sigma}{\\sqrt{n}} = \\frac{0.8}{\\sqrt{50}} = 0.113"
The z-score is the value decreased by the mean, divided by the standard deviation.
"z = \\frac{\\bar{x} - \\mu_{bar{x}}}{\\sigma_{\\bar{x}}} = \\frac{98.45 -98.65}{0.113} = -1.769\n\nP(\\bar{x}> 98.45) = 1 -P(\\bar{x}<98.45) \\\\\n\n= 1 -P(z< -1.769) \\\\\n\n= 1 -0.0384 \\\\\n\n= 0.9616"
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