00:02
All right.
00:04
So we're looking at variables that are categorical and quantitative.
00:09
So here we're looking at bald eagles and this field of biologists saying the reproduction of bald eagles records these variables and which of them are categorical and quantitative.
00:19
So number of eggs laid, that's going to be quantitative.
00:22
Incubation, quantitative.
00:25
Parental care, this is going to be categorical because you can always see most mother and most father.
00:31
Both nest size and centimeters, quantitative, because you can measure it.
00:36
It's a number that we can run statistics on, statistical tools on.
00:45
And presence of pesticides and samples of local waters, that's going to be categorical as well.
00:52
And then once we've categorized them, then we can still do some, we can still do statistical work with the categorization.
00:58
We've said that we can only do statistics with quantitative.
01:01
That's not what i meant.
01:01
Quantitative means like you can, it's values, quantities we can deal with.
01:09
All right.
01:09
So here we have a snippet of a set of data, which is from a study that assess the water quality of 53 representative lakes in florida.
01:22
What individuals does this data set describe? it describes lakes, and specifically water quality of lakes.
01:46
How many variables? in addition to the lake's name does the data set contain one two three four five and of them which are categorical and which are quantitative well the first for ph chlorophyll average mercury in fish parts number of fish is fish fish sampled these are quantitative and age of data year old recent assuming it's just year old or recent we're going to say these are categorical or maybe that's like a year old or more, something like that.
02:26
So we can't see the rest of it, but it's looking at it...