# Purpose of Statistics

Everywhere you go, everything you see, statistics is all around. I for one, did not realize how important and relevant statistics was in our everyday lives until taking this course. Everything is run by statistics; the kind of coffee available in Dunkin’ Donuts, the flavors of ice cream at Dairy Queen, and even the clothes we buy in stores. Statistics evaluates what works in our growing and complex society nowadays. All of these selections would not be available to us without the statistical backing that they will sell and that people enjoy them.

Hire a custom writer who has experience.
It's time for you to submit amazing papers!

order now

I actually play video games competitively and travel to competitions to win money. I pick and choose my teammates almost solely based on the statistics that are on the leaderboards. If they have a combination of a high-win loss ratio, high accuracy, and a high points per-match; then they must be a good addition to the team. Of course there are other factors such as communication and team chemistry, but these can be improved and worked on over time.

Statistics is also evident in school. When reflecting upon my passed academic endeavors, I’ve realized that everything is also based on statistics. Grade point average almost always determines what other colleges you can gain admittance to, as well as earning scholarships and awards. Also statisticaly evaluated at times is SAT scores. Through statistics students are placed in different group levels by their individual grades. Even in sports statistics can be found.

Baseball batters are evaluated based on their batting averages. There is even a slugging average which is different than batting average and determines how often they achieve extra-base hits. In my major, statistics is also very important. I am a Psychology Major and in this area of studies, I will be dealing with a ton of studies which are all about statistical calculations and experiments. In this field they used Simple Random Sampling, probability sampling and convenience sampling.

An example would be if a group of researchers wanted to find out between two mayoral candidates who is more liked. They would have to target all of the voters in the city, then get maybe around 1,000 of them and look at the polls. They might even design a systematic sample from a list of all of the voters, grab any name at random, and then get in touch with every 200th voter they come across. This would give them a nice random sample and a more in depth look at who was going to win.