There is an Flu type X (X), 1 out of 400 flu patients have Flu type X. Of those who have Flu type X 65% will have a fever of over 102 degrees (F), and those who have another type of Flu only 60% will have a fever of over 102 degrees.
a) Create a complete tree diagram that represents this information
b) What is the probability that they will not have Flu type X and have a fever of over 102 degrees.
c) If we know that the person does not have a fever of over 102 degrees, what is the probability that they will have flu type X
d) What is the probability that they will have a fever of over 102 degrees, given that they do not have flu type X
e) P[X u F]
There is an Flu type X (X), 1 out of 400 flu patients have Flu type...
Here are some statistics collected by a doctor about patients who walk into her office. ∙ 25% of the patients have the flu. ∙ Among patients with the flu, 75% have a fever. ∙ Among patients who don't have the flu, 50% have a fever. A new person walks into the doctor's office and turns out to have a fever. What is the probability that he has the flu?
Random variable X has Poisson distribution lambda(rate of occurence for patients with flu-like symptoms in 1 hour) = 7.7 t = 1 hour What is the probability that at most 20 patients with the primary diagnosis over flu-like-symptoms are admitted during this 1 hour? you should have all the necessary numbers
A clinic took temperature readings of 250 flu patients over a weekend and discovered the temperature distribution to be Gaussian, with a mean of 102.00°F and a standard deviation of 0.8780. Use this normal error curve area table to find the following values. https://sites.google.com/site/chempendix/statistiics/ordinate-and-area-for-a-normal-error-curve (a) What is the fraction of patients expected to have a fever greater than 104.28°F? (b) What is the fraction of patients expected to have a temperature between 101.82°F and 102.61°F?
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3 of 17 > A clinic took temperature readings of 250 flu patients over a weekend and discovered the temperature distribution to be Gaussian, with a mean of 101.70 °F and a standard deviation of 0.7770 °F. Use this normal error curve area table to calculate each value. What is the fraction of patients expected to have a fever greater than 103.25 °F? fraction above 103.25 °F: What is the fraction of patients expected to have a temperature between 101.08...
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