identify bias in each peer's sample and explain how you think they could remove the bias from their sample.

I am currently going to school for business. A time I had to think about using sales data was recently since I have been thinking about getting a new car. I am young with not much of a credit history so I would have to get a cosigner but the part behind buying the car I will need to see how much the bill will be a month that's not even including insurance and I need to start seeing how much money I need to start saving out of my checks and put a side for a down payment as well. A way for Susan to get the population and it not being a accurate would be if she went off last year's numbers of students for boys and girls because every year is not going to be the same. Two examples that I think will describe the relationship of the sample of the population would be stratified and convenience. A way of stratified sampling would be taking just one grade and going off of how many are in that grade and not counting if they are boys or girls. A convenience would be how data was collected of how many students in each grade and how they were divided up into gender and grade.