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Alexander Industries is considering purchasing an insurance policy for its new office building in St. Louis, Missouri. The policy has an annual cost of $30,000. If Alexander Industries does not purchase the insurance and minor fire damage occurs, a cost of $200,000 is anticipated; the cost if major or total destruction is $300,000. The costs, including the state-of-nature probabilities, are:
Damage
Decision Alternative
None, s1
Minor, s2
Major, s3
Purchase insurance, d1
30,000
Listed below is the selling price for a share of Coca Cola, at the close of the year. Determine the least squares trend equation.
suppose you flip a fair coin 10 times and it results in 1 tail and 9 heads. if you toss that coin again what is the
Why is it important to simplify radical expressions before adding or subtracting? How is adding radical expressions similar to adding polynomial expressions? How is it different? Provide a radical expression for your classmates to simplify.
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We have a deck of 52 playing cards. What is the probability of drawing?
Formulate a linear programming model for this problem.
Using the Hypothesis Tests Two Sample file and a .05 significance level, test whether there is a difference in the mean salary for men versus women.
Write a substantive interpretation of the following unstandardized regression equation based on a sample of 743 city residents, where Y is a 10-point scale measuring the number of professional sporting events.
From time to time, one branch office of a company must make shipments to a certain branch office in another state. There are three package delivery services between the two cities where the branch offices are located.
1.as the degrees of freedom become larger the difference between the t and z distributions becomesa.narrowerb.stays the
Suppose that we generate a random sample from a given dis- tribution. If it is desired that the probability that the sample mean will be within 2 standard deviations of the mean of the distribution is at least .99, how large should the sample size..
What is the mean number among 12 truthful persons who will be classied as deceptive? What is the standard deviation of this number?
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