Correct definition for statistical phenomenon

In summary, a statistical phenomenon is an observable pattern or behavior in data that is studied and analyzed using statistical methods. It can be identified by looking for patterns or trends in data and there are different types such as central tendency, variability, and correlation. However, statistical significance refers to the likelihood that a relationship or difference between variables is not due to chance and a phenomenon cannot be proven, only observed and studied.
  • #1
TaPaKaH
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Suppose we have a random service time ##T## with residual service time ##R## observed at some point along the way.

What is the correct way to call ##T## (in 1-2 words, without having to introduce ##R##) if:
1) For any observation time, ##\mathbb{E}R\leq\mathbb{E}T##?
2) For any observation time, ##R<T## in distribution i.e. ##T## stochastically dominates ##R##.
 
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  • #2
Thanks for the post! Sorry you aren't generating responses at the moment. Do you have any further information, come to any new conclusions or is it possible to reword the post?
 

Related to Correct definition for statistical phenomenon

1. What is a statistical phenomenon?

A statistical phenomenon refers to an observable pattern or behavior that occurs in a population or sample. It is often studied and analyzed using statistical methods in order to better understand and interpret the data.

2. How do you identify a statistical phenomenon?

A statistical phenomenon can be identified by looking for patterns or trends in data. These can be observed through visualizations such as graphs or charts, or through the use of statistical tests and measures.

3. What is the difference between statistical phenomenon and statistical significance?

A statistical phenomenon is a general term used to describe any observable pattern or behavior in data. On the other hand, statistical significance refers to the likelihood that a relationship or difference between variables is not due to chance.

4. Can a statistical phenomenon be proven?

No, a statistical phenomenon cannot be proven. It can only be observed and studied through data analysis and statistical methods. However, the more data and evidence that supports a phenomenon, the more confident we can be in its existence.

5. Are there different types of statistical phenomena?

Yes, there are different types of statistical phenomena such as central tendency (e.g. mean, median, mode), variability (e.g. range, standard deviation), correlation, regression, and probability. These different types of phenomena can be used to analyze and interpret different types of data and relationships between variables.

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