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.
1.004-.016 = 0.988
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!
It is 2/125.
2/125
0.016 = sixteen thousandths.
"Statistically significant" means that the result is beyond the element of chance.
A result is statistically significant if:it is unlikely to have occurred by chance
No, it is not.
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if it is unlikely to have happened by chance
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No. However, the difference between them can be.
1.004-.016 = 0.988
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To determine if a value of 0.3 is statistically significant, you need to consider the context, such as the sample size, the effect size, and the specific statistical test being used. Statistical significance is typically assessed using a p-value, where a p-value less than 0.05 is commonly considered significant. Without additional information, it is not possible to definitively say whether 0.3 is statistically significant.
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!
There is nothing particularly significant about a sample size of 30.