In a study of the life expectancy of 400 people in a certain geographic region, the mean age at death was 70 years, and the standard deviation was 5.1 years.
If a sample of 50 people from this region is selected, what is the probability that the mean life expectancy will be more than 90 years?
Let the random variable X denotes the age at death.
Given that X has a distribution with "\\mu = 70" years and "\\sigma=5.1" years
Population size
N = 400
Sample size
n = 50
The sample drawn is 12.5% of the population from which it is being selected. It is relatively large sample.
So, we should use the correction factor.
The z value corresponding to 90 is
"z = \\frac{X- \\mu}{ \\frac{\\sigma}{\\sqrt{n}} \\times \\sqrt{ \\frac{N-n}{N-1} }} \\\\\n\n= \\frac{90- 70}{ \\frac{5.1}{\\sqrt{50}} \\times \\sqrt{ \\frac{400-50}{400-1} }} \\\\\n\n= 29.63 \\\\\n\nP(X>90) = 1 -P(Z<29.63) \\\\\n\n= 1 -0.999968 \\\\\n\n= 0.000032"
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Dear Hyacinth, please use the panel for submitting a new question.
In a study of the life expectancy of 400 people in a certain geographic region, the mean age at death was 70 years, and the standard deviation was 5.1 years. If a sample of 50 people from this region is selected, what is the probability that the mean life expectancy will be less than 68 years?
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