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In the past, Judy Holmes's tire dealership sold an average of 1,000 radials each year. In the past two years, 200 and 250, respectively, were sold in fall, 350 and 300 in winter, 150 and 165 in spring, and 300 and 285 in summer. With a major expansion planned, Judy projects sales next year to increase to 1,200 radials. What will the demand be each season? Please show work (formulas).
If the probability that it will rain tomorrow is 0.33, then what is the probability that it will not rain tomorrow?
Select a legitimate sampling strategy and collect at least 30 data points using your created question or topic. Discuss the sampling strategy in sufficient detail so that someone else could repeat your data collection without any difficulties or q..
Significance level to test the claim that less than half (.5) of all executives identify that error as being the most common job interviewing error.
From a random sample of 48 days in a recent year, U.S. gasoline prices had a mean of $2.34 (wow - that's old data!) and a standard deviation of $0.32. Construct the 90% and 95% confidence intervals for the population mean.
If the average low temperature of a winter month in Rochester, NY, is 16° and the standard deviation is 4.6 then according to Chebyshev's theorem, the percentage of average low temperatures in Rochester, NY, between 2.2° and 29.8° is %.
You are planning to test a vaccine for a virus that has no vaccine. Since the disease is usually not serious, you will expose 100 volunteers to the virus. After some time, you will record whether or not each volunteer has been infected.
Processing an order for more disks cost $15. Zip uses 60000 disks annually, and the company has a 25% cost of capital. (a) Find the optimal order quantity.
Draw a scatter diagram of the following bivariate data.
Find out the constant using probability density function also cumulative distribution function. Assume X be a continuous random variable with probability density function.
For the most recent year available, the mean annual cost to attend a private university in the United States was $20,182. Assume the distribution of annual costs follows the normal probability distribution and the standard deviation is $4,400.
The lifetimes of light bulbs of a particular type are normally distributed with a mean of 370 hours and a standard deviation of 5 hours. What percentage of bulbs has lifetimes that lie within 1 standard deviation of the mean on either side?
The assembly time for a product is uniformly distributed between 6 to 10 minutes.
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