*So if this was, does the most highly paid English professor at Harvard get paid more than the most highly paid math professor at MIT in 2013, then you have an absolute number for each of these, each of these people, and then you could just compare them directly.*

*So if this was, does the most highly paid English professor at Harvard get paid more than the most highly paid math professor at MIT in 2013, then you have an absolute number for each of these, each of these people, and then you could just compare them directly.*And so, when we're talking about a particular year, particular people, then this is no longer a statistical question, or it isn't a statistical question.So this is definitely, definitely a statistical question. What was the difference in rainfall between Singapore and Seattle in 2013? And assuming that this has already happened and we can measure 'em, then we can just find the difference. You just have to have both of these measurements and subtract the difference. In general, will I use less gas driving at 55 miles an hour than 70 miles per hour?

So once again, all English professors don't get paid the same amount, and all math professors don't get paid the same amount. Does the most highly paid English professor at Harvard get paid more than the most highly paid math professor at MIT?

Some English professors might do quite well, some might make very little. So we'd probably want to find some type of an average to represent the central tendency for each of these. Well, now we're talking about two particular individuals.

It might depend on the car, or even for a given car, when you drive at 55 miles per hour, there's some variation in your gas mileage.

It might be how recent an oil change happened, what the wind conditions are like, what the road conditions are like.

All of these ideas depend on free or scraped data, which means that anyone can work on them.

I’ve given a ballpark difficulty for each project to give people some idea. As a student, and even in your future life as a young professional, communicating your findings remains critical.Besides developing sufficient statistical skills, students are required to learn how to communicate the outcomes of statistical studies effectively.- [Instructor] What I want to do in this video is think about the types of questions that we need statistics to address and the types of questions that we don't need statistics to address.And we could call the ones where we need statistics as statistical questions, statistical questions.There's gonna be some variability in their age. But we want to get a sense of in general, how old are the people? We might wanna find some type of central tendency, an average, a median age for this. And you might already be seeing kind of a pattern here. So we would need some statistics to get a sense of, in general, or on average, how fast do dogs run? And then we could compare those averages, or we could compare the medians in some way. Once again, we're talking about in general, a whole population of dogs, the whole species of dogs versus cats, and there's variation in how fast dogs run and how fast cats run. So once again, since we're speaking in general about wolves not a particular wolf, and in general about dogs, and there's variation in the data, and we're trying to glean some numbers from that to compare, this is definitely a statistical question. We could put each of them on a weighing machine and come up with an absolute answer.So one person might be 10 years old, another person might be 20, another person might be 15. The first question, we were asking about a particular person, there was only one answer here. The second one, we're asking about a trait of a bunch of people and there's variability in that trait. And so we'll need statistics to come up with some features of the data set to be able to make some conclusions. If we were talking about a particular dog and a particular cat, well then there would just be an answer. There's no variability in this dog's weight, at least at the moment that we weigh it. And we'd also probably want to know does it rain more in Seattle than Singapore in a given year, over a decade, or whatever.You could go look at their tax forms, see how much each of them get paid.I guess especially if we assume that this is in a particular year.For instance, in all areas, adequate planning, supervision, clear writing and sensible preparation are the key points.However, there are some unique elements that make writing an exceptional statistics research project challenging.

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