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A real estate agent wants to compare the variation in the selling price of homes on the oceanfront with those 3 blocks away A sample of 21 oceanfront homes sold within the last year revealed the standard deviation of the selling prices was 45,600. A sample of 18 homes also sold within the last year, that were one to three blocks from the ocean revealed that the standard deviation was 21,330. At the .01 significance level, can we conclude that there is more variation in the selling prices of the oceanfront homes?
If university officials say that at least 70% of the voting student population supporting the fee increase, what conclusion can be drawn based on a 95% level of confidence?
If two events are collectively exhaustive, what is the probability that both occur at the same time?
what is the sampling distribution model of the percent passing developmental courses for your campus in Fall 2009 and provide the percentages between which we would expect to see 68% of the sampling distribution, 95% of the sampling distribution
Testing for Population mean - determine if there has been a significant change in the population mean.
Compute the mean, standard deviation, median, and standard error for each group.
In the 1992 U.S. presidential election, Bill Clinton received 43% of the vote compared to 38% for George H. W. Bush and 19% for Ross Perot. Suppose we had taken a random sample of 100 voters in an exit poll and asked them for whom they had voted.
A sample of 84 golfers showed that their average score on a particular golf course was 89.05 with a standard deviation of 3.47.
What is the 95% confidence interval estimate for the difference between the mean reflectivity reading for Paint A and Paint B? Please complete the blank: "we can be 95% confident that the true difference between the actual means is?
A recent study by a large retailer designed to determine whether there was a relationship between the importance a store manager placed on advertising and the size of the store revealed the following sample information:
Clearly identify the independent and dependent variables you would study. Determine whether an independent-samples or related-samples t test is most appropriate and why. Generate the statistical null and alternative hypotheses.
The Roller Products Company produces roller skates and skateboards. It has three production lines. Production line 1 makes skateboard platforms.
How many students would be required to estimate the proportion of students who consume coffee? Suppose we want the estimate to be within 5% of the true proportion with 95% confidence.
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