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Question: A journalist claims that all adults in her city spend an average of 30 hours or more per month on general reading, such as newspapers, magazines, novels, and so forth. A recent sample of 25 adults from this city showed that they spend an average of 27 hours per month on general reading. The population of such times is known to be normally distributed with the population standard deviation of 7 hours.
a. Using the 2.5% significance level, would you conclude that the mean time spent per month on such reading by all adults in this city is less than 30 hours? Use both procedures-the p-value approach and the critical value approach.
b. Make the test of part a using the 1% significance level. Is your decision different from that of part a? Comment on the results of parts a and b.
Established that the relation between age, and weight is somewhat linear. He calculated that the correlation between age and weight is 0.514. Describe the association.
There is no significant difference in the mean household incomes between the two neighborhoods +0.05
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Determine expectation of number of vehicles passing through this specified point in ten minutes.
Suppose you toss a coin and will win $1 if it comes up heads. If it comes up tails, you toss again. This time you receive $2 if it comes up healds.
What is the probability a random sample of 90 test takers will provide a sample mean test score within 10 points of the population mean of 502 on the critical reading part of the test?
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Find the probability that a randomly selected student is a nursing major. Find the probability that a randomly selected student is a nursing major given that the student is a male.
The variables include pre- and post-MBA salary, percentage salary increase, undergraduate GPA, average Graduate Management Admission Test (GMAT) score.
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Suppose X is the amount of money a person earns in an hour where? p(X = $5) =0.2, p(X =$10) = 0.1, p(X=$15) =0.5 and p(X=$20) = 0.2. How much money would the person earn on average
Find the mean and standard deviation of your simulated sample weights. How do your sample statistics compare to the theoretical population parameters.
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