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A doctorhas developed an experimental drug for toe-nail fungus. He needs to test it out on some people to make sure it works. He has a list of 2000 people who could be potential subjects in his study. 1120 of these potential subjects have toe nail fungus. A random sample of 75 people will be drawn from this pool and surveyed about whether they have toe-nail fungus. Let F be the number of people in the sample with toe-nail fungus. a) Define F in terms of the story and name the distribution and its parameters. b) What is the expected number of people in his sample that have toe-nail fungus? c) Set up an equation to find the probability that exactly 40 people in his sample had toe-nail fungus. Fill in all the values, but do not solve. d) What is a good approximation for the random variable described in this scenario and what are its parameters? Why are you able to use this approximation? e) What is the approximate probability that 40 people in his sample have toe-nail fungus
An occupational health study was carried out to evaluate the health status of workers. The response is forced expiratory volume (FEV), a measure of respiratory function
A biologist with the Department of Agriculture is studying the growth of artichokes. She knows that the number of artichokes produced by each plant follows a distribution which is approximately normal.
Compute a 90% confidence interval of the mean for a Weschler intellegence test with mean of 100.00 and standard deviation of 15.00 for a sample of 100 people. Use two decimal places.
For the following data calculate the mean and standard deviation for the sample. Then calculate both a 95% and a 99% confidence interval for the popular mean.
Compute the cofficient of determination. Compute the correlation coefficient between the price and the number of pages.
Suppose you are at a gas station filling your tank with gas. The function C(g) represents the cost C of filling up the gas tank with g gallons. Given the equation: C(g) = 3.03 (g)
A test was conducted to determine whether gender of a spokesperson affected the likelihood that consumers would prefer a new product.
Assume that the average person in America weighs 150 pounds (μ). You want to determine whether colleges students weigh less than the average America, Following are the weights collected on a sample of colleges students: 120, 105, 166, 170, 145, 14..
Utilizing jacobian method finding the probability density function. Utilizing either the CDF method or Jacobian method illustrate the probability density function of Y is given.
The publisher reports that 80% of college professors require or recommend that their students purchase some type of textbook package.
At the .01 significance level, can we conclude that there is more variation in the selling prices of the oceanfront homes?
Consider testing H0: μ= 27 vs Ha: μ
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