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A manufacturer of TV sets initiates an inspection system to reduce the number of defective sets leaving the plant. Prior to this system the proportion of defective sets was 1 in 80. After the new system is in effect, in a random sample of 320 sets there are 2 defective sets. Use a test of hypothesis to decide if the proportion of defects has been reduced.
In designing a concrete mix to meet specified "minimum strength" (ultimate compressive stress) requirements, the American Concrete Institute Code
Quart cartons of milk should contain at least 32 ounces. A sample of 20 cartons contained the following amounts in ounces. Does sufficient evidence exist to conclude the mean amount of milk in cartons is less than 32 ounces at the 5% significance ..
Probability question: Let X1, X2,....be a sequence of random variables such that P(X of n = 1/n) = 1 - 1/n^2 and P(X of n = n) = 1/n^2. Does X of n converge in probability? Does X of n converge in quadratic mean?
when we pick a point estimator whose sampling distribution is not centered on the population parameter being estimated
How many different possibilities exist for the set of iced-tea drinks that a given participant will taste? (Show how you calculated your answer.)
Is there any evidence to suggest that the mean cable car time is greater than 5.5 minutes? Use a = 0.05 and compute the p value to draw a conclusion.
List the possible realizations of the random vector; - Determine the probability of each realization; - Determine the mean vector;
How to quit smoking It's hard for smokers to quit. Perhaps prescribing a drug to fight depression will work as well as the usual nicotine patch.
Test whether there is evidence that Abigail's distributors are violating her edict that X = 1000.
Given the linear correlation coefficient r = 0.543 and the sample size n = 25, determine the critical values of r and use your finding to state whether
Is it necessary to assume a normal distribution on the population to estimate the value of the mean spending per day? Explain.
The profit for product 1 is $6 per unit, and the profit for product 2 is $4 per unit. Solve this model by using graphical analysis.
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