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Is there a statistically significant correlation between not understanding that you are dead after death and not believing in life-after-death before death?
Wiki User
∙ 10y ago
I may need to get back to you on that one in a few decades after I claw my way out of my grave..................then I'd finally know, but I don't believe in life after death. So: You may have a point. Very interesting connection you've made here, seriously, because it's an interesting idea...
Wiki User
∙ 10y ago
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Result being Statistically Significant or not statistically significant?
"Statistically significant" means that the result is beyond the element of chance.
What is a statistically significant result?
A result is statistically significant if:it is unlikely to have occurred by chance
If it is statistically significant does that automatically mean it is managerially significant?
No, it is not.
What type of research describes the strenghth and direction of relationships between two variables?
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.
What is a statistically significant?
if it is unlikely to have happened by chance
What does a correlation factor of -0.95 mean?
This means that the correlation is negative but still significant.
Can paired means be statistically significant?
No. However, the difference between them can be.
What correlation indicates a strong positive straight line relationship?
If by positive you mean that an increase in the independent variable is accompanied by an increase in the dependent variable then this will be indicated by a correlation close to one. What is considered 'close to one' depends on the field of study. In some fields where it can be quite difficult to establish relationships between variables a correlation of, say, 0.35 might be considered important, provided of course that it has been shown to be statistically significant.
Is .016 statistically significant in spss?
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.
How can a result be described as statistically significant but not practically 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!
What is statistically significant about n equals 30 sample size?
There is nothing particularly significant about a sample size of 30.
Is .031 statistically significant?
This question lacks the details to make any judgement.
