In the Seasonal Effect data set, an average of 20 patients develop an SSI each month....
- In the Seasonal Effect data set, an average of 20 patients
develop an SSI each month. For a randomly selected month in the
year, calculate the following probabilities using the Poisson
distribution. Show all work.
- Exactly 20 patients develop an SSI in the month, P(X=20) (10%)
- Use the cumulative distribution to calculate the probability that less than 10 patients develop an SSI in the month, P(X≤10) (10%)
Side Note: there are 2919 total patients. Not sure if this information is needed.
Homework Answers
in this problem part b we have to find out P(X<10) as "less than 10 patients develop SSI in a month " is our event.
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In the Seasonal Effect data set, an average of 20 patients
develop an SSI each month....
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Approximately 8.26% of patients in the Seasonal Effect data set contracted an SSI. If this happens...
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In studies for a medication, 5 percent of patients gained weight as a side effect. Suppose 670 patients are randomly selected. Use the normal approximation to the binomial to approximate the probability that (a) exactly 34 patients will gain weight as a side effect. (b) no more than 34 patients will gain weight as a side effect. (c) at least 47 patients ill gain weight as a side effect. What does this result suggest? (a) P(34)- |Round to four decimal...
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