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A company produces two products that are processed on two assembly lines. Assembly line 1 has 100 available hours, and assembly line 2 has 42 available hours. Each product requires 10 hours of processing time on line 1, while on line 2 product 1 requires 7 hours and product 2 requires 3 hours. The profit for product 1 is $6 per unit, and the profit for product 2 is $4 per unit.
Formulate a linear programming model for this problem.
A bank official reported the results of a regression analysis designed to predict the bank's charges (y), measured in dollars per month, for services rendered to local companies.
The mean of a sample is 22.5. The mean of 1000 bootstrapped samples is 22.491. The bias of the bootstrap mean is
Determine a 95 % confidence interval for the iron concentration.
The average age of the students in the sample was 23 with a standard deviation of 3.5: a) Formulate the hypotheses for this problem.
Which is the estimated or dear proportion of defective cups in the population?
If the loss of weight of customers at the end of their first month is normally distributed with a mean of 6.7lbs and a standard deviation of 0.81lbs
The number of passengers on the Carnival Sensation during one-week cruises in the Caribbean follows the normal distribution.
It has been estimated that 30% of all farms are family-owned. In a sample of 12 farms, what is the probability that exactly three farms are family owned?
What is the probability of selecting an accounting major, given that the person selected is a male?
Assuming no discrimination based on gender, what is the probability of getting 41 or fewer women when 100 new employees are hired?
Can we conclude that mean time for game is less than 3.50 hours? Use.05 significance level.
The results for college x was a mean of 5 hours and an estimated population variance of 2 hours: for college y, m= 4, s 2 =1.5; and for college Z, M= 6, s 2 =2.5 what should you conclude? Use the .5 level.
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