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1. A television store owner ?gures that 50 percent of the customers entering his store will purchase an ordinary television set, 20 percent will purchase a color television set, and 30 percent will just be browsing. If ?ve customers enter his store on a certain day, what is the probability that two customers purchase color sets, one customer purchases an ordinary set, and two customers purchase nothing?
2. In Exercise 20, what is the probability that our store owner sells three or more televisions on that day?
The the steps of hypothesis testing b) sketch the distribution involved, and c) explain your answer to someone who is familiar with the t test for a single sample but not with the t sest for independent means.
the fracture strength of tempered glass averages 14 measured in thousands of pounds per square inch and has standard
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a medical devices company wants to know the number of hours their mri machines are used per day. a previous study found
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If pX (respectively, pY ) is the true proportion of times the first (respectively, the second) cleaner is successful at removing the specific stain, determine an approximate 95% confidence interval for pX - pY .
it is thought that the application of a plasma coating that conatins submicron particles of tungsten carbide will
A study compared colleges that tested for drugs with colleges that did not, finding similar levels of students using drugs in each. State a potential lurking variable that could affect the results of a study.
Consider a sample of size 5 from a normal population with a variance of 5 and a mean of zero under the null hypothesis. Find the critical values for a 0.05 two-sided significance test of the mean equals zero versus the mean dif- fers from zero.
write down the hypothesis the test used the p-value and the interpretation then hand calculates a 95% CL for the odds ratio estimate on this last test.
Use relative frequencies to estimate the probability that a seed will not germinate. What is your estimate? Use relative frequencies to estimate the probability that a seed will not germinate.
The differences and similarities between descriptive and inferential statistics will also be examined with examples provided for each.
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