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if it is unlikely to have happened by chance
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∙ 13y ago
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Can paired means be statistically significant?
No. However, the difference between them can be.
Is it possible for the results of the study to be of practical importance even though they are not statistically significant?
Yes!
Which of these is closest to what you mean to 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.
What does it mean for the findings of a statistical analysis of data to be statistically significant?
Data is statistically significant if the p (probability) value is below a certain level (ex: 5% or 1%). The p value describes how often one would receive the results they got if left to chance alone. The lower the p value, the less likely it is that your results were due to chance and is stronger evidence against the null hypothesis. Also important to keep in mind is that just because something is statistically significant does not mean it is practically significant.
Is statistical significance below or above 0.05?
If the outcome is below or equal to 0.05, then it is statistically significant; above is not.
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.
Can paired means be statistically significant?
No. However, the difference between them can be.
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.
Is it possible for the results of the study to be of practical importance even though they are not statistically significant?
Yes!
What values do scientists often use when evaluating data sets?
Those that are statistically significant.
Which of these is closest to what you mean to 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.
What does it mean for the findings of a statistical analysis of data to be statistically significant?
Data is statistically significant if the p (probability) value is below a certain level (ex: 5% or 1%). The p value describes how often one would receive the results they got if left to chance alone. The lower the p value, the less likely it is that your results were due to chance and is stronger evidence against the null hypothesis. Also important to keep in mind is that just because something is statistically significant does not mean it is practically significant.
