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For this assessment, do research in order to perform analyses based on real-world examples of data mining applications in business:Select data from a project with which you are associated that has to do with profitability. For example, develop ten different customer profiles with their rates of profitability.
-Employ representative statistical-analysis software to calculate and plot lift.
-Calculate and plot lift, given a set of data, and analyze optimal policy.
-Analyze the data to determine the optimal policy for enhancing profitability.
-Present the results of your analysis in a concise and compelling manner, using effective communication strategies and appropriate business terms. Show your work and paste figures or tables (as necessary) into a Word document.
A sample of 500 respondents was selected in a large metropolitan area to determine various information concerning consumer behavior, Among the questions asked was "Do you enjoy shopping for clothing?
Use the Kolmogorov-Smirnov test to discover whether the distribution of location of accidents is uniformly distributed for the month of September
it has been reported that 80 of all emails received is junk mail. each morning a computer user turns on his computer
an important factor in selling a residential property is the number of people who look through the home. a sample of 15
The correlation between IQ and the verbal SAT score among the seniors at GWB High School is .90; it is significant. The mean IQ is 100 with a standard deviation of 10.
a greenhouse in a tri-county area has kept track of its customers for the last several years and has determined that 28
Determine whether there is suffcient evidence to support the clain that the new balls have bounce heights with a mean different from 92.84 in. Does it appear that the new baseballs are different?
in keno there are 80 balls numbered from 1 to 80 and 20 are chosen at random. if you play a double number you win if
Think of a case in which regression analysis was used, but not properly. For instance, discuss situations in which regression analysis is not appropriate and does not add useful information to our understanding of a set of data.
Pretest-posttest design and internal validity threats - please discuss all threats to internal validity.
1. the national snow and ice data center nsidc collects data on albedo depth and physical characteristics of ice
We select a sample of 15 fares. What is the likelihood that the sample mean is between $17.00 and $20.00? What must you assume to make the above calculation?
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