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The Roller Products Company produces roller skates and skateboards. It has three production lines. Production line 1 makes skateboard platforms. Production line 2 makes skate assemblies. Production line 3 mounts wheels on both products. The marketing department has determined virtually unlimited demand for both products. Profit per pair of roller skates is $10 and $6 per skateboard. Production line 1 can produce 6 skateboard platforms per day, and production line 2 can produce 5 pairs of shoes per day. Production line 3 can mount 20 wheel sets per day. Each skateboard requires 2 wheel sets, and each pair of roller skates requires 4 wheel sets.
a) How many skateboards and roller skates should be scheduled per day to maximize total profits?
b) Solve this problem using the simplex method.
Find out the suitable critical value(s) for this situation given a 0.05 significance level. Find out/compute the value of sample test statistic.
If a worker is chosen at random, what is the probability that he or she.Is very improbable to switch jobs. Is somewhat likely or very likely to switch jobs.
Based on your answers to a through d, decide whether or not to reject the null hypothesis at the given significance level. Explain your conclusion in the context of the problem.
Find the probability of an untrained dog performing as well as Maggie. Is it unusual for an untrained dog to do as well as Maggie?
Select a random variable to represent the category. Produce a probability mass function for that variable, and use it to compute the mean, the median and the variance of the data in the data set. Show the probability mass function, both in tabular..
In standard normal distribution standard deviation is always ___.
Using the 0.10 level of significance, is there evidence that the population mean is above $300?
For a normal distribution, the probability of randomly selecting a z-score greater than z = -2.00 is p = .0228.
Find the probability using the Poisson distribution.
Based on this sample information find out what percent of variation in starting salaries is described by GPA, and find out the equation that would forecast salary from GPA. Give a scatter plot.
Construct a 90 percent confidence interval for the proportion of all kernels that would not pop.
At the .01 significance level, can she conclude that there is a difference between how well the different tutorials work for the students?
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