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The quality-control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375 hours. The population standard deviation is 100 hours. A random sample of 64 light bulbs indicates a sample mean life of 350 hours.
The US Census Bureau announce that the median sales price of new houses sold in April 2009 was $221,600 while the mean sales price was $274,300. Assume that the standard deviation of the prices is $90,000.
The management of a chain of fast food restaurants wants to investigate the relationship between the daily sales volume (in dollars) of a company restaurant and the number of competitor restaurants within a 1 mile radius. The following data have b..
Based on a scatter diagram, would you estimate the linear correlation coefficient to be:
A craftsperson makes stuffed animals for sale. 85% of the animals she makes are bears while the remaining 15% are rabbits. Suppose she sells 75% of her bears at craft shows but only 50% of her rabbits are sold at craft shows.
Find a 90% confidence interval for the population mean of annual growth (of those trees with an initial size of 2.41-2.60 centimeters).
You need to estimate the mean Christmas sales across a large chain of jewelry stores. You want to estimate this mean value to within $100 with 99% confidence
Write down a paragraph about the normal distribution. In the paragraph give an example of a distribution that you would judge to be nearly normal and explain why you have made that conclusion.
X has a normal distribution with a mean of 80.0 and a standard deviation of 3.5. Find the following probabilities.
Test the claim that the actual amount of coke exceeds 12 ounces. (Note: You can use the value of $s$ as the value of $sigma$ for your hypothesis test).
Determine the margin of error in estimating the population mean. a sample of 68 college students yields a mean annual income of $3248.
q1. for each of the following state the null hypothesis and the alternative hypothesis.a the publisher of celebrity
Regression analysis works with the basic formula of a line, which is Y = mX + b. We can use it to look at causation. Think about the Lemonade Stand Game.
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