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A nutritionist thinks the average person with an income below the poverty level gets less than the recommended daily allowance (RDA) of 800 mg of calcium. To test her conjecture, she obtains the daily intakes of calcium for a random sample of 45 people with incomes below the poverty level. The mean of the sample is 737.3 mg with sample standard deviation of 262.2 mg. Is there sufficient evidence at the alpha =0.05 level to support the researcher's claim?
Whose characteristics can be assume to be independent of each other, were examined. Let X denotes the number of defective computer chips.
A random sample of teachers from Georgia and an independent random sample of teachers from Indiana have been asked to report their mean annual income.
If the shop does not want to give more than 1% of its customers a free lube and oil change service, how long should the guarantee be?
Find the probability that their mean energy consumption level for September is greater than 1075 kWh.
Assuming that the standard deviation and the normal shape are unchanged, to what level must the mean reduce so that 20 gallons per week is the third quartile rather than the mean?
Assess the impact of an event on a population. I ran a survey before the event and then I ran the survey after the event. The collected responses matched between prior to the event and after. I used paired t-test to determine if the event had a posit..
A man is in the process of buying a new car. He has a choice of 3 engine makes, 7 body styles and 10 colors. How many different cars does he have to choose from?
Random from a large production had 8 defective discs. Determine a 98% confidence interval for the population proportion of the defective disc drives.
Caselet on McDonald’s vs. Burger King - Waiting time
Replacement times for CD players are normally distributed with mean of 7.1 years and a standard deviation of 1.4 years (based on data from "Getting Things Fixed," Consumer Reports). Find the probability that a randomly selected CD player will have..
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
Determine the frequency of wrong numbers given to callers. Each sample consisted of 100 calls. Determine 95 pct limits. Is the process stable(i.e., in control)? explain.
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