Given that there is considerable variability in the data for the two groups b. it will be likely we don’t reject the null hypothesis of "no difference" with a small sample
What happens when variability is considerable ?
When there is considerable variability in the data for the two groups, it means that there is a wide spread of data points, and the data is more dispersed.
In hypothesis testing, a larger sample size is generally needed to detect a statistically significant difference when there is high variability in the data.
With a small sample size, it becomes more challenging to detect a true difference, and the likelihood of not rejecting the null hypothesis of "no difference" increases. A larger sample size provides more information and reduces the impact of variability.