"Statistically significant" means that the result is beyond the element of chance.
No, it is not.
There is nothing particularly significant about a sample size of 30.
This question lacks the details to make any judgement.
Correlation analysis. But you will need a lot more knowledge of statistics before you can decide whether the result is [statistically] significant or not, and if it is, what that means.
"Statistically significant" means that the result is beyond the element of chance.
You buy a thousand lottery tickets (different numbers) and win nothing. That is statistically significant because the chances of that happening purely by chance are pretty slim. But if the lottery is operated properly, the result is not practically significant. There is nothing that can be done. Tough!
No, it is not.
if it is unlikely to have happened by chance
No. However, the difference between them can be.
A number, by itself, cannot be statistically significant. It is necessary to know what the underlying statistical distribution for that number is. That information can be obtained from knowledge of the statistical test being carried out.
There is nothing particularly significant about a sample size of 30.
This question lacks the details to make any judgement.
Correlation analysis. But you will need a lot more knowledge of statistics before you can decide whether the result is [statistically] significant or not, and if it is, what that means.
Yes!
Those that are statistically significant.
Statistically significant is the term used to define when two data are distinct enough in value as to be considered different values. To determine whether two data are close enough in value or distinct enough in value to be considered the same or different, usually you have to do a p-test or a t-test, depending on the type of data that you are looking at. Then confer with the corresponding chart for the test that you did to see whether or not the data is statistically significant.