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A biologist estimates that 40% of deer in the region carry a certain type of tick. For a sample of 300 deer selectetd at random, what is the chance that 124 or fewer deer have this tick?
Mr. James McWhinney, president of Daniel-James Financial Services, believes there is a relationship between the number of client contacts and the dollar amount of sales.
A psychiatrist hires you to study whether her clients self-disclosed more while sitting in an easy chair or lying down on a couch. All clients had previously agreed to allow the sessions to be videotaped for research purposes.
Demand for a popular athletic shoe is nearly constant at 800 pairs per week for a regional division of a national retailer. The cost per pair is $54.
Give a 99% confidence interval for the mean increase in pay for all corporate CEOs.
Two groups of students are asked to rank their preference for six types of soft drinks. The following table shows their rankings.
Commonwealth Edison wants to identify its heaviest users, which are those that are in the top 6% of electric consumption. How many kilowatt hours in January would qualify for the heavy user classification?
Find out the correlation among the two variables in the regression. A simple linear regression produced the following computer output.
A and B are two intersecting sets, and a, b, ab, and x represent the usual symbols for the number of elements contained in the four defined areas of the associated Venn Diagram. Find the values of ab and a if:
A researcher used stepwise regression to create regression models to predict Birth-Rate (births per1000) using five predictors:
If 1000 men and 1000 women are to be interviewed, how accurately could you estimate the difference in the proportions who think that the performance of their atheltics teams has a positive impact on the perceived prestige of the institutions? Find..
Identify at least 2 variables for which you would utilize a repeated-measures ANOVA in your analysis. Describe the variables and their scale of measurement.
When we say we have a confidence level of 95%, what do you think our "margin of error" is? If we move the level of confidence from 95 to 99%, what will happen to our margin of error? What will happen to the width of our confidence interval?
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