need help
#parallel boxplot
fiery fossil
devout fossil
need help
Pulse rate is something you can measure and it has a continuous range of values, so I'd say it's numerical.
If we instead had something like "low", "medium" and "high", that would be categorical.
fiery fossil
@devout fossil Like How do i know which one is the explanatory and response variablae
devout fossil
<@290136354233384960> Like How do i know which one is the explanatory and respon...
I don't understand what you're talking about. We have boxplots of two random variables: pulse rate of women and pulse rate of men.
fiery fossil
yes it says identify the each of the variable
like the type of variable
is it explanatory or response
devout fossil
Hm... Haven't heard of that classification. Let me find some info on it first.
fiery fossil
is the same as indepdednent and depdendent variable
devout fossil
Well, they certainly don't depend on each other. So, I think they are both explanatory.
fiery fossil
how?
devout fossil
Well, the pulse rate of one gender doesn't influence the other.
fiery fossil
then what are we me measuring
devout fossil
Pulse rate of each gender.
fiery fossil
@devout fossil we have to be either be measuring pulse rate or gender
does the type of gender change the pulse rate
or does the pulse rate hae a connection with the gender
devout fossil
Oh, that's what you meant!
fiery fossil
isn't that what the indepdenent and depdendent variable is..
devout fossil
Hm... Well, we can make hypotheses about that.
devout fossil
isn't that what the indepdenent and depdendent variable is..
Yeah, sorry. I'm more used to that in chemistry, where the dependence is numerical, not categorical.
devout fossil
Well, in this case I guess we have gender, which is explanatory, and pulse rate, which is response.
fiery fossil
how though
that's what i think too
but how do you prove it's not the other
how can you be 100% sure
devout fossil
Well, that depends on whether there is even a relation.
Suppose the pulse rate is X(g), where g = 0 for men and 1 for women. Then the distribution of X(g) might depend on g. Or maybe it doesn't.
If it does, though, we can then measure the pulse rate of an arbitrary person and make a hypothesis about their gender; so, we now determine g in terms of a sample from X.