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Predicted a 50% chance of XYZ stock gaining in January and a 50% chance of gaining in February. Your financial advisor sees this and tells you there is a 100% chance XYZ stock will gain over the 2-month period. Would you continue to use this financial advisor? Explain.
What conclusions can you draw about the nature of the relationship between anxiety and exam performance?
A recent article in the Denver Post indicated that the mean selling price of the homes in the area is more than $220,000. Can we conclude that the mean selling price in the Denver area is more than $220,000? Use the .01 significance level. What is..
Impact on sampling of increasing sample size is: The potential for extreme sampling error is reduced.
Use Excel and determine the number of each type of person that will be needed to complete the job within the allotted time and at minimum cost.
State in each of given cases whether you would expect relationship between given variables to be positive or negative or neither.
Assume that you have selected 10 students enrolled at your college and have collected data for these three variables:
The data given shows daily sales at the petrol station. Compute Karl Pearson's co -efficient of skewness. Quantity sold (in litres) and No. of days. are given.
A researcher selects a random example of college students and measures number of hours they spend watching television per week and their grade point average.
The margin of error for a sample size 25 is +-3. Will the margin of error be greater or less if the sample size is 400? What is the new margin of error?
Perform a contingency analysis on the data to determine if there is any dependency between the number of level of education attained by the father and the size of his family.
What sample size must you take to be 96% confident that the results will be within $.75 of the true mean cost per call?
The winning team's score in 13 high school basketball games was recorded. If the sample mean is 54.3 points and the sample standard deviation is 11.0 points, find the 98% confidence interval of the true mean.
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