Sagot :
The differences between two samples are more likely to be statistically significant if the samples are and the standard deviations of the samples are: large and the standard deviations of the samples are small.
What is statistical significance?
- Statistical significance can be used to determine whether a result is more likely the consequence of chance or an important element.
- Significant results simply imply that you can be sure they are true rather than that you were fortunate (or unfortunate) in the sample you used.
Now,
- It can be presumed that the test mentioned is the t-test since it uses two samples.
- A t-t-value, test's which it generates, is what determines its statistical significance.
- The likelihood that a difference is statistically significant increases with increasing t-value.
- By dividing the mean difference between two samples by the square root of the sum of the variances of each sample, then by the size of each sample, one may determine the t-value.
- The likelihood that the difference between two means is statistically significant therefore increases if:
- a significant mean difference;
- the samples are substantial;
- The samples' standard deviations are lower.
Hence, The differences between two samples are more likely to be statistically significant if the samples are and the standard deviations of the samples are: large and the standard deviations of the samples are small.
To learn more about statistical significance, refer to the link: brainly.com/question/15848236
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