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A regression equation was computed to be Y= = 35 + 6X. The value of the 35 indicates that:
a.the regression line crosses the Y-axis at 35.
b.the coefficient of correlation is 35.
c.the coefficient of determination is 35.
d.an increase of one unit in X will result in an increase of 35 in Y.
There is some concern that exposure to gases used in anesthesiology might be harming health of anesthesiologists. In one study of 525 Michigan nurse anesthesiologists, 10 reported a new malignancy other than skin cancer during the previous year.
Please explain the difference between confidence interval and significance level and how they interact or "influence" each other.
A square yard of carpet is examined for surface defects. Currently, the process produces an average of 2.4 defects per square yard. What is the probability of finding 2 or more surface defects in the sample.
You've administered a standardized test of manual dexterity to two groups of 10 semi skilled workers. One of these two groups of workers will be employed by you to work in a warehouse with many fragile items.
Construct a 95% confidence interval estimate for the population proportion of administrative professionals who prefer cash bonuses.
Suppose the annual return on XYZ stock follows a normal distribution with mean 0.12 and standard deviation 0.30.
The average price of a personal computer is 949 assuming that the prices are normally distributed with a standard deviation of 100 what is the price that corresponds to the least expensive 10%.
It is estimated that 0.5 percent of the 1200 callers per day to the Customer Service Department of Dell, Inc. will receive a message that the line is busy and be automatically transferred to a winning mode until a "representative is available to t..
A random sample of 36 days yielded the average daily output of 890.2 tons, with standard deviation of 19.8 tons. Use this information to make a 95% confidence interval for mean.
A 'good' correlation is data-context driven. For example, I did a project correlating sales volume per state and customer demographics (pretty 'hard' data) and got a .92 correlation.
Find out the area using Normal distribution. As, if Z is a standard normal variable find out the probability that Z lies.
Use either Linear Programming module or Transportation module of Cd to minimize the shipping costs involved in move.
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