...
Well, if population is the entire collection of objects or individuals about which information is being desired (basically, the things or people that the information is being "extracted from"), looking at this, who does this definition apply to?
You have to consider that population is the ENTIRE collection. While 469 and 422 are "samples" (matches a corresponding parameter, in this case 'healthy' and 'unhealthy') the sum is the population, or entire group of people that you're collecting data from.
I don't think so. Another thing to consider is that when finding population, you have to look at what the study is actually looking for. (sorry, it's been a while since i've taken statistics) Ex) Study goal is finding connection between middle aged men, heart attacks and soft drink consumption. 50 middle aged men surveyed and 50 from a control group. 50 middle aged men are the population. I don't think you would include the control group in the population.
I wasn't considering before the 'about which information is desired' part of the definition.
Statistics begins with a set of numbers which are called the sample. The set of all possible numbers is called the population.
So, by that definition, if you were to collect data from 10 people who buy clothes online, those 10 people would be the sample size, and the population would be everyone who has ever or will ever buy clothes online. Your class's definition may be slightly flawed.
If I were you, I would just submit the sum of all of the data (so healthy with unhealhy, etc) and try to clear this up with your teacher.
Yeah.
Generally, population is only inferential because it's impossible to really calculate it, or it would be really expensive to.
Exactly. This data set looks like the sample size is 200. 100 mice the first time and 100 mice the second, right?
More than likely, going off the defintion you were given.
no problem :)
Join our real-time social learning platform and learn together with your friends!