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Test whether there is difference in the proportion of viewers using Chi square test.
In a particular market there are three commercial television stations, each with its own
Evening news program from 6:00 to 6:30 P.M. According to a report in this morning's local newspaper, a random sample of 150 viewers last night revealed 53 watched the news on WNAE (channel 5), 64 watched on WRRN (channel 11), and 33 on WSPD (channel 13). At the .05 significance level, is there a difference in the proportion of viewers watching the three channels?
Risks and Odds in Everyday Life, James Burke claims that about 70 percent of all single men would welcome a woman taking the initiative in asking for a date. A random sample of 20 single men was asked if they would welcome a woman taking the initiati..
What is the appropriate set of hypotheses to test such that a possible outcome of the test would indicate;
A recent article in the Myrtle Beach Sun Times reported that the mean labor cost to repair a colour television is $90 with a standard deviation of $22. Monte's TV Sales and Service completed repairs on two sets this morning. The labor cost for the..
What is the probability that a cereal would be high calorie, given that it is high fiber? In other words, what is P (high calorie, given high fiber)?
Find out the sample size raised by mean also standard deviation, a sampling distribution may approach among which of the following values.
Find the value of k that makes f(x; y) a valid probability distribution.
At the .05 significance level, can we conclude that the mean waiting time is less than 3 minutes?
Would you use a one-tailed or two-tailed test? Explain your response.
A game involving a pair of dice pays out $4 with probability 16/36, costs you $2 with probability 14/36, and costs you $6 with probability 6/36.
What is the probability that a roulette ball will come to rest on an even number other than 0 and 00?
Suppose we drew a histogram of these 18 death rates using class intervals 1 — 1.9, 2 — 2.9, 3 — 3.9, 4 — 4.9 and 5 — 5.9. Using the histogram, we would
Let p1 = 100 and n1 = 500; and p2 = 200 with n2 = 500. Test whether there is a statistical difference between the two proportions at the 5% significance level.
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