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A production family employs 20 workers on the day shift, 15 worker on the swing shift, and 10 workers on the graveyard shift. A quality control of consultant is to select 6 of these workers for in-depth interviews. Suppose the selection is made in such a way that any particular group of6 workers has the same chance of being selected as does any other group
a) How many selections result in all 6 workers coming from the day shift? What is the probability that all 6 selected workers from the day shift?b) What is the probability that all 6 workers will from the same shift?c) What is the probability that at least two different shifts will be represented among the selected workers?d) What is the probability that at least one of the shifts will be unrepresented in the sample of workers?
When is regression used? What are the assumptions of Linear Regression? What is correlation? How does it differ from regression? What is the interpretation of the correlation coefficient?
Suppose the manufacturers claim is right, determine the probability the mean of sample is 47,840 miles or less?
For a sample of 36 students in a class the mean score in Mathematics is 72 with a standard deviation of 7. Find the 95% confidence interval for the mean score.
Using the results, describe the effect of an outlier or extreme value on the confidence interval.
A manufacturer of a chemical used in glue, attempting to control the amount of a hazardous chemical its workers are exposed to, has given instructions to halt production if the mean amount in the air exceeds 3.0 ppm.
Which of the following would produce a new confidence interval with smaller width based on these same data and produce a new confidence interval
The following estimated regression model was developed relating yearly income (Y in $1,000s) of 30 individuals with their age (X 1 ) and their gender (X 2 ) (0 if male and 1 if female).
The production department wants to explore the relationship between the number of employees who assemble a subassembly and the number produced. The complete set of paired observations follows:
Suppose that bank has made a large number of loans of a certain type. The one year probability of default each loan 1.2%. The bank uses a Gaussian copula for time to default.
Based on these results, is there significant difference between attitudes for males and for females? Use two tailed test with alpha = .05.
A researcher collected sample data for 17 women ages 18 to 24 . The sample had a mean serum cholesterol level (measured in mg/100 mL) of 188.8 , with a standard deviation of 5.5.
Computing the probability values using normal distribution - what proportion have SAT scores greater than 550?
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