We are given that females have pulse rates that are normally distributed with a
"\\mu=76, \\sigma=12.5.""z={{\\overline{x}-\\mu} \\over {\\sigma \/ \\sqrt{n}}}""z={{79-76} \\over {12.5 \/ \\sqrt{1}}}=0.24" We have to find
"P(\\overline{x}<79)=P(z<0.24)=0.5948." The probability is
"P(\\overline{x}<79)=0.5948"
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Assume that females have pulse rates that are normally distributed with a mean of μ=76.0 beats per minute and a standard deviation of σ=12.5 beats per minute. a. If 1 adult female is randomly selected, find the probability that her pulse rate is between 69 beats per minute and 83 beats per minute. The probability is (Round to four decimal places as needed.)
Dear Vladimyr Lubin, please use the panel for submitting a new question.
Using the accompanying table of data, blood platelet counts of women have a bell-shaped distribution with a mean of 255.1 and a standard deviation of 65.5 . (All units are 1000 cells/L.) Using Chebyshev's theorem, what is known about the percentage of women with platelet counts that are within standard deviations of the mean? What are the minimum and maximum possible platelet counts that are within 3 standard deviations of the mean?
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