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No. However, the difference between them can be.

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8y 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 is a statistically significant?

if it is unlikely to have happened by chance


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 would you employ to know if there is a statistically significant difference between the means of two groups?

A bar chart, line graph or a scatter gram for the line of best fit


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.


What is F ratio?

Computing F-ratioThe F-ratio is used to determine whether the variances in two independent samples are equal. If the F-ratio is not statistically significant, you may assume there is homogeneity of variance and employ the standard t-test for the difference of means. If the F-ratio is statistically significant, use an alternative t-test computation such as the Cochran and Cox method.


What values do scientists often use when evaluating data sets?

Those that are statistically significant.


Is it possible for the results of the study to be of practical importance even though they are not statistically significant?

Yes!

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