Imagine you have a big bag of different colored candies. You want to know which colors are the most popular, so you start randomly picking candies out of the bag and counting how many of each color you get.
However, you want to be really sure that your results are accurate, so you decide to use the Bonferroni Bound.
This means that you will divide the number of times you pick candies out of the bag by the total number of colors you are counting. For example, if you wanted to count 5 different colors and you picked 20 candies out of the bag, you would divide 20 by 5 to get 4. This means that you will only count a color as being the most popular if you get 4 or more of that color.
The reason for using the Bonferroni Bound is to reduce the likelihood of false positives, or finding a color that appears to be popular but is actually just due to chance. By only considering colors with a higher count than what you would expect by chance, you can be more confident that your results are accurate.
So, in short, the Bonferroni Bound is a method that helps you make sure your results are reliable by setting a higher standard for what counts as a meaningful result.