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An industrial oven used to cure sand cores for a factory manufacturing engine blocks for small cars is able to maintain fairly constant temperatures. The temperature range of the oven follows a normal distribution with a mean of 450 degrees F and a standard deviation of 25 degrees F. Leslie Larsen, president of the factory, is concerned about the large number of defective cores that have been produced in the past several months. If the oven gets hotter than 475 degrees F, the core is defective. What is the probability that the oven will cause a core to be defective? What is the probability that the temperature of the oven will range from 460 degree F to 470 degrees F?
Determine the value of the finite population correction factor if population size is 1000 and the sample size is 300? What is the smallest sample size for which finite population correction factor must be Used?
Mariott estimates that the penalty to "walk" a guest whose reservation cannot be honored due a lack of space is approximately $100. What is the ideal probability of "walking a guest."
Conduct a two-sample test of means. A study by a bank compared the average savings of customers who were depositors for three years or less with those who had been depositors for more than three years.
A manufacturing company has three factories: X, Y, and Z. The daily output of each is shown here. If one item is selected at random, find these probabilities. It is a TV
Computation of Expectation, Variance and Covariance.Calculate the variances of Y1 and Y2.
Use the binomial distribution formula to calculate the probability that:
What is the probability that a randomly chosen employee is an Administrator if the employee has the opportunity of gaining promotion next year?
The hypothesis is to be tested at the 5% level of significance. The critical value from the table equals:
In optimal solution, determinethe critical path?
Consider the following data values of variables x and y. The equation of the least-squares regression line for this data is
Using a .05 level of significance, test whether the sample results indicate that the manufacturing process is functioning properly.
Suppose probability that person has desease is 0.06 for all people, independently of each other, and calculate expected number of tests essential for each group.
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