Explain the relationship between sample size and the likelih

Explain the relationship between sample size and the likelihood of a statistically significant difference between measured values of two groups. In other words, explain why, all else being equal, as sample size increases the likelihood of finding a statistically significant relationship increases.

Solution

the sample size increases, so the likelihood of finding a statistically significant relationship will incrreases because these variables are proportional

as you can see the likelihood of finding a statistically significant relationship depends of the sample size

and the relationship is proportional so if the sample size decrease the likelihood also decrease