Your sample proportion would be ... the proportion from the 50 days of receipts ... n=50 ...
Sure, total is dependent on each part of the revenues ... if one is high, the other % is low ... but I don't see that as being the issue here ...
Would the data suggest ... that we should reject the hypothesized value of .75 ... for the drive thru portion?
At 10:53 AM 2/24/2004, you wrote:
How would you test the following hypothesis: A fast-food restaurant claims that 75% of their revenue is from the "drive-thru". Suppose you have 50 days of receipts from the restaurant. Each days' receipt shows the total revenue and the "drive-thru" revenue for that day. I'm in a quandary as to how one would conduct this test. The two revenues are obviously dependent under the null hyp; thus it's not just a simple test of comparing two means from independent samples.(Even if the samples were independent, I'm not sure how to do it-because of the 75% factor in the hyp. This is a moot point ,though, since the samples are clearly dependent to start with) Thanks for any help. . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
Dennis Roberts
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http://www.personal.psu.edu/users/d/m/dmr/droberts.htm
. . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
