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Tamiami shearing machine is manufacturing 10 percent defective pieces, that is abnormally high. Quality control engineer has been checking output by almost continuous sampling as abnormal condition began. Determine the probability that in sample of 10 pieces:
a. None are defective?b. Exactly 1 will be defective?c. 1 or more will be defective?d. 5 or less will be defective?
Illustrate what decision should be made depended on the mini-max regret criterion. Decision based on the Mini-max criterion.
Construct a scatterplot and identify the mathematical model that best fits the given data. Assume that the model is to be used only for the scope of the given gata, and consider only linear, polynomial (degree 2) logarithmic, exponential, and powe..
When the level of confidence and the sample size remain the same, a confidence interval for a population mean µ will be wider, when the sample standard deviation s is small than when s is large.
A random variable Y is uniformly distributed over a range of 0 to 2*pi. Another random variable X is related to Y by X=cos(Y).
A processor of carrots cuts the green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test the weight ofthe boxes, a few were checked.
Summarize the relationship between sample size and confidence level.
Compute the following linear programming problem and describe the special case of a linear programming problem in which.
Comparisons were made for specific causes of death between mortality rates in workers and U.S white male mortality rates from 1950-1978.
Discuss how to perform a test of hypothesis to determine whether the variances of two populations are equal. Include a discusssion of why the larger sample variance is placed in the numerator in the Test Statistic for comparing two variances.
A study of 40 bowlers showed that there average score was 186 the standard deviation of the population is 6. Find the 95% confidence interval of the mean score for all bowlers.
The city of Oakdale wishes to see if there is a linear relationship between the temperature and the amount of electricity used (in kilowatts).
If probability the first truck is available is= .75, probability the second truck is available is= .50, and probability both are available is= .30, determine the probability which neither truck is available?
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