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Assume the number of minutes of cell phone use is a normal distribution with a population mean of 200 minutes and a population standard deviation of 50 minutes. What percent of the population talk between 175 minutes and 245 minutes?
In other words, you are finding the probability that a randomly selected cat will cost more than a randomly selected dog in terms of their annual medical costs.
A researcher was interested in determining whether incentives affect the response rate in surveys. A simple random sample of 50 adult residents of a large city was selected. All were mailed a survey and promised a check upon returning a completed ..
What is the importance of hypothesis testing for independence of variables using two-way tables? Is there an example of this for a better understanding?
Assume that the duration of human pregnancies can be described by a normal model with mean 268 days and standard deviation 17 days. What percentage of pregnancies should last between 260 and 270 days?
Construct a confidence interval for a level of confidence equal to 95%, we use z values that leave out, in the lower and the upper tails of the normal distribution, an area equal to?
Simulate arrival of cars at service station for one hour using different stream of random numbers from those used in (a), and calculate average time between arrivals.
What is the probability that the team wins tonight and that there will be a large crowd at tomorrow's game?
How would I go about finding the probabilities for the following discrete random variables? Among a shipment of 5,000 tires, 1,000 are slightly blemished. If one purchases 10 of these tires, what is the probability that 3 or less (P (x
Lets say a business has account receivables per customer of $60.54. There was a random sampling of 19 accounts that revealed a sample mean of $73.55 and a sample standard deviation of $19.29.
A five-year old study claims that selling prices of new homes / condominiums in the New York area have a normal distribution with mean = $180,000 and standard deviation = $40,000.
The number of hours a 100 watt bulb will operate before burning out is approximately normally distributed with standard deviation σ=50.
What the information do z-scores give that actual heights do no?
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