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A member of the management team at Widgecorp asks if an ANOVA test would be useful for any of the statistics you've produced to date. Explain when an ANOVA test is useful. (You can find a description in the Presentation Resource for this Phase). Support your contention with three examples from your experience at other organizations or departments. Where applicable, for each example, indicate what are the treatments and blocking variables.
Assume the population standard deviations are not the same. At the .05 significance level, is there a difference in the mean waiting time?
Critically discuss the characteristics of integer programming problems. Provide specific instances in which you would use an integer programming model rather than an LP model. Provide real-world examples.
What is the probability that an improperly adjusted machine will produce five or more items before it is stopped? What is the average number of items an improperly adjusted machine will produce before being stopped?
The Martin Company is in the process of planning for new production facilities and developing a more efficient distribution system design. At present, it has one plant at St.Louis with a capacity of 30000 units.
How many participants need to be enrolled in each group to have 90% chance of detecting a significant difference using a two-sided test with a a= .05 if compliance is perfect?
Based on this sample information, create a 90% confidence interval for population mean yearly premium.
If we know that the length of time it takes a college student to find out a parking spot in library parking lot follows a normal distribution with a mean of 3.5 minutes and a standard deviation of 1 minute
For each problem, compute a Welch F-statistic and determine whether or not significant differences exist among the treatment conditions.
A power of 0.2203 can be interpreted to mean there is a 22.03% chance of selecting a sample whose sample mean is larger than 166.3 lb.
Explain and give examples of how the particular outcomes of a study can suggest if a particular threat is likely to have been present.
Assume the data for the three groups are independent and the data are approximately Normal. The P-value is less than 0.01. The correct conclusion is that
Find out the regression variable that correlates best. Among which regression variable, carbon dioxide or methane correlates best with the earth's surface temperature.
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