Does the Christian faith have anything distinctive to say about the practice of statistics as a science? If so, identify a biblical passage that supports your view. If not, explain why not.
At the USA open Tennis Championship a statistician keeps track of every serve that a player hits during the tournament. The statistician reported that the mean serve speed of a particular player was 102 miles per hour (mph)and the standard deviation of the serve speeds was 13 mph. Assume that the statistician also gave us […]
A researcherbelieve that about 75% of the seeds planted with the aid of a new chemical fertilizer will germinate. He chooses a random sample of 135 seeds and plants them with the aid of the fertilizer. Assuming his belief to be true, approximate the probability that at the most 104 of the 135 seeds will […]
Helen Holmes makes pottery by hand in her basement. She has 20 hours available each week to make bowls and vases. A bowl requires 3 hours of labor, and a vase requires 2 hours of labor. It requires 2 pounds of special clay to make a bowl and 5 pounds to produce a vase; she […]
How does your answer to part a change as the cancellation rate varies between 5% and 25% (in increments of 5%)? Assume now that the required assurance rate remains at 95%.
The average price of homes sold in the medium size city in Canada in the past year was $220,000. A random sample of 81 homes sold this year showed an average price of $210,000 with a sample standard deviation of $36,000. Determine whether there has been a significant decrease in the average price of homes. State the […]
Two airplanes are flying in the same direction in adjacent parallel corridors.At time t=0,the first airplane is 10 km ahead of the second one.Suppose the speed of the first plane (km/hr)is normally distributed with mean 520 and standard deviation 10 and the second plane’s speed is also normally distributed with mean and standard deviation 500and […]
Name some of the terms used in statistical inference.
QUESTION 16 – A light bulb is advertised as lasting an average of 1000 hours with a standard deviation of 150 hours. Find the probability of buying a light bulb that will last between 850 and 1250 hours. Assume the variable is normally distributed.
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