Q: What is log transformation in statistics?

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A rigid transformation is when a shape is moved with no changes to its shape whereas a size transformation is when a shape is moved with its shape becoming smaller or larger.

There are two types of statistics. One is called descriptive statistics and the other is inferential statistics. Descriptive statistics is when you use numbers. Inferential statistics is when you draw conclusions or make predictions.

log(2) + log(4) = log(2x)log(2 times 4) = log(2x)2 times 4 = 2 times 'x'x = 4

Psychological statistics is the application of statistics to psychology.

The statistics (pl.) indicate that statistics (sing.) is a pseudo-science.

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This is a relationship in which there is a linear relationship in 2 characters AFTER a log transformation.

A log burning in a fire place.

No. Data mining is more than a simple transformation of technology developed from databases, statistics, and machine learning. Instead, data mining involves an integration, rather than a simple transformation, of techniques from multiple disciplines such as database technology, statistics, machine learning, high-performance computing, pattern recognition, neural networks, data visualization, information retrieval, image and signal processing, and spatial data analysis.

Urchin is a web statistics analysis used to analyze web server log file content and display the traffic information on the website based upon the log data. It was developed by Urchin Software Co.

Mechanical energy is wasted due to friction. The wasted energy is converted into heat.

Yes, Google Analytics will count that visit as a visitor hit on your website unless you create a filter to exclude your IP address from its statistics count. Filters can be setup under you Analytics account settings. Example site statistics - http://blog.gingergeek.com/statistics

transformation

There are plenty of workout logs available on line. These are very helpful in keeping track of your schedule and work out statistics. I would recommend finding one.

Try CNet. Look at Related Links below for the URL.

The size of the shape changes with a similarity transformation (enlargement), whereas it does not with a congruence transformation.

No it is not.

2d transformation