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Suppose that you have an estimator with a relatively large bias. The estimator is consistent and efficient, however.
If you had a generous budget for your sampling survey, would you use this estimator? Explain.
question a survey of undergraduate students in the school of business at northern university revealed the following
How would the results of this survey be used in the workplace? Briefly describe correlational research. Name a variable from this study and one from the workplace that might prove to provide a correlational relationship.
question the monthly sales of mufflers follow the normal distribution with a mean of 1200 and a standard deviation of
Of the 1,4000 homemakers sampled, 420 were able to identify the brand by name. Compute the standard error of the proportion.
questionto test the efficacy of admissions or release an emergency room embarks on a controlled experiment. each
A company that assembles electronic alarm systems requires three component parts: C1, C2, and C3. In-house production costs are estimated to be $15 per unit for part C1, $18 per unit for part C2, and $ 20 per unit for part C3.
Determine the margin of error in estimating the population mean. a sample of 68 college students yields a mean annual income of $3248.
The university data center has two main computers. The center wants to examine whether computer 1 is receiving tasks that require processing times comparable to those of computer 2.
a light fixture contains 2 light bulbs. the lifetime xi of each bulb is exponentially distributed with a mean of 200
Using the information above, what total size sample would be necessary if we wanted to estimate the true proportion to within? 0.08 using 95% confidence?
Based on our sample, how do you interpret the results and what do these results suggest about the population means for male and female average salaries?
Based on the analysis of variance, is there a difference in the average number of ounces filled by the four machines? Apply Tukey's HSD test to compare the mean differences if the overall ANOVA test is significant at the 5% level.
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