An outlier is when a piece of your data is more noticeable and than the rest of your data. I’m basically saying it’s kinda like the odd one out. Hope that helps!
Not 100% sure on those answers but here is hot to figure the problem out:
A point that falls outside the data set's inner fences is classified as a minor outlier, while one that falls outside the outer fences is classified as a major outlier. To find the inner fences for your data set, first, multiply the interquartile range by 1.5. Then, add the result to Q3 and subtract it from Q1.
