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I am trying to understand the meaning of data mining? What is data mining? I'm thinking it's like a huge warehouse that stores data. Is it possible to provide an example? Can you also recommend any literature about data mining?

I would also like to know what type of research situation would use only descriptive statistics? In quantitative only? Is there any published literature I may review from?

What exactly is a regression line and a regression analysis? How can I effectively understand and utilize regression analysis in a research study? Are there any journals or websites I may look at for clarity purposes?

I'm just looking for a better understand of these topics, because the readings seem to technical.

https://brainmass.com/statistics/descriptive-statistics/statistics-306041

#### Solution Preview

DATA MINING

Data mining is the the process of looking at a large set of data to discover if there are patterns.

For example, in the field of medicine, one might look at genetic data from a wide range of people to see if there are any patterns related to genes associated with different diseases. In the field of business, one might look at data describing consumers to see if you can predict what kinds of people tend to buy certain products.

A data warehouse is the place where data is physically stored. Data mining is an analysis of that data.

See:

http://www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/datamining.htm
http://en.wikipedia.org/wiki/Data_mining
http://www.thearling.com/text/dmwhite/dmwhite.htm
http://www.laits.utexas.edu/~norman/BUS.FOR/course.mat/Alex/

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DESCRIPTIVE STATISTICS

Descriptive statistics describe a set of data. For example the average (mean), median, range, and standard deviation are all examples of things you would use when describing data.

Descriptive statistics are different ...

#### Solution Summary

The solution provides definitions for the terms "data mining", "descriptive statistics", and "regression analysis". It briefly discusses each topic and provides additional resources.

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