What is the meaning of D in Gaussian program output: 0.0323424 D-2?

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In summary, "Mean D" is a term used in scientific research to refer to the average of a set of data points for a variable or factor. To calculate the mean D, the data points are added and divided by the total number of data points. It is an important measure in research for summarizing and comparing data, but it should be used in conjunction with other factors for making predictions. The median D, which is the middle value of the data, is another measure that can be used to describe the data and is not as affected by extreme values as the mean D.
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Karrar
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in output result of Gaussian program I find Numbers such as

0.0323424 D-2
what meaning D here
 
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  • #2
Presumably D = (times ten to the), and it signifies double precision.
 
  • #3
thanks so much Mr nicksauce but what the diffrent between D and E
 

FAQ: What is the meaning of D in Gaussian program output: 0.0323424 D-2?

What is mean D here?

"Mean D" is a term that is often used in scientific research and experiments. It refers to the mean, or average, of a set of data points. D, in this context, stands for the variable or factor that is being measured or studied.

How is mean D calculated?

To calculate the mean D, all of the data points for the variable D are added together and then divided by the total number of data points. This gives you the average value of D for the given set of data.

Why is mean D important in scientific research?

The mean D is an important measure in scientific research as it helps to summarize and describe the data for the variable D. It can also be used to compare different groups or conditions in an experiment and to identify any patterns or trends in the data.

What is the difference between mean D and median D?

The mean D is the average value of the data points for the variable D, while the median D is the middle value of the data when they are arranged in ascending or descending order. The median is not affected by extreme values, whereas the mean can be skewed by outliers in the data.

Can the mean D be used to make predictions?

Yes, the mean D can be used to make predictions about future data points for the variable D. However, it is important to note that the mean D is only a summary measure and may not accurately represent all of the data points in a given set. Other factors and variables should also be taken into consideration when making predictions.

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