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An allergy medication is successful for 70% of all patients who use it. The medication is given to 200 patients. Let X = number of successful treatments.
a. What are the mean and standard deviation of X?
b. Use the normal curve to approximate the probability that X is 128 or less.
Describe what the pattern looks like and what conclusions you might draw from it. (1 paragraph) As a manager what would be your process for PDSA?
how many different seven-digit phone numbers can be generated provided that the first digit cannot be zero? explain
Tthe true population mean when different samples of the same size are taken. Note that the variability of the sample mean is LESS than that of individual observations Does this makes sense?
How does sample size affect the interpretation of survey results?- Distinguish between probability and nonprobability sampling techniques. What are the implications of each?
A man plays independent repetitions of the following game: at each repetition, he throws a dart onto a circular target. Suppose that the distance D between the impact point of the dart and the center of the target has a U[0,30] distribution. If D ..
Normal distribution what percentage of students will make A's and what percentage will make B;s in the exam. Suppose standard cut-off for (A>=90) and B (80
What are the null and alternative hypotheses for this test?- Use ANOVA and the 0.05 level of significance in testing the null hypothesis identified in part (a).
Determine the regression equation, letting the first variable be the independent (x) variable. Find the indicated predicted values.
the number of customers per day at a sales counter x has been observed for a long period of time and found to have mean
Determined that the outbreak was caused by ice cream from one company. They sampled 9 production runs and found the level of Salmonella
we choose an integer from 1 to 200 including 1 and 200 at random. recall an integer is just a whole number such as 1 2
Run a Monte Carlo simulation 1000 trials for the following distribution. Determine the mean and standard deviation of the simulated distribution.
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