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In a given week, a lawyer spends 24 hours preparing for a case, 7 hours actually in court, and 3 hours consulting the client, and 6 hours in depositions. She gets paid $200 per hour for preparation, $240 per hour for hours spent in court, $150 per hour for consultations, and $210 per hour for depositions. What is her averages per hour for this week?
If the monthly demand for videos on average is 180 and standard deviation = 60, what is the number of videos the manager should order to meet 90% customer demand?
Explain the implications of this statement in the context of ordinary least squares regression? Be sure your answer includes a discussion of hypothesis testing.
Which measure of association do you use to compare the relationship between these variables? Why?
The machine will stop working if more than three components fail. Find the probability that the machine will be working.
To find out the alternate hypotheses also critical value. A truck dealer claims where a new model will give trouble free service for at least 15,000 miles.
Both days have sample standard deviations of 3.4. Is the average mean of size different from day 1 to day 2?
Draw the scatter diagram. Does it appear that x and y are related? If so, how? Test to determine whether there is evidence of a linear relationship.
An advertising agency that serves a major radio station wants estimate the mean amount of time that the station's audience spends listening to the radio daily.
A financial analyst wants to compare the turnover rates, I percent, for shares of oil-related stocks versus other stocks, such as GE and IBM. She selected 32 oil related stocks and 49 other stocks.
These employees has been taken by systematic sampling, what is the value of k? The researcher would start the sample selection between what two values?
What proportion of children 10-15 years would be classified as hyperlipidemia(assume that hyperlipidemia is defined as a total cholesterol level over 200)?
Consider the following data values of variables x and y. The equation of the least-squares regression line for this data is
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