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Anyone here have experience with statistical hypothesis testing?

1of10Charnatives

By 1of10Charnatives,
in Carolina Panthers

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1of10Charnatives Mentor

1of10Charnatives

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I’ve got a question I wanna look at using hypothesis testing but although I had some exposure to it for my degree that was many moons ago and tbh my grade in business statistics reflected that it was one of the subjects I had the weakest grasp of any I studied. If anybody’s even decent at that stuff I could use a hand not screwing it up. Post here or pm me.

Oh and before you ask the question relates to running qb’s as they age, so not remotely relevant to the Panthers.

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1of10Charnatives Mentor

1of10Charnatives

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Basically a lot of people tend to go with the assumption that when running qb’s stop running or run a lot less, they become less effective overall. When I looked at running qb’s career statistics, those that played long enough to make it into their 30’s did run markedly less from about 30 onward, but they were also able to keep playing into their mid 30’s. (a fact I found mildly  surprising and has caused me to reevaluate how viable I thought keeping Cam is as an option going forward.)

What I want look at beyond just eye balling numbers is whether the decrease in running impacted their passer rating negatively or not. I think it’s possible that as these qb’s matured, their experience enabled them to largely compensate for the need to shift away from running.

statistical hypothesis testing is a math based way to answer that question. A question that it might be useful to know about what it would be reasonable to expect from Cam going forward barring injury.

 

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Wes21 Mentor

Wes21

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41 minutes ago, 1of10Charnatives said:

Basically a lot of people tend to go with the assumption that when running qb’s stop running or run a lot less, they become less effective overall. When I looked at running qb’s career statistics, those that played long enough to make it into their 30’s did run markedly less from about 30 onward, but they were also able to keep playing into their mid 30’s. (a fact I found mildly  surprising and has caused me to reevaluate how viable I thought keeping Cam is as an option going forward.)

What I want look at beyond just eye balling numbers is whether the decrease in running impacted their passer rating negatively or not. I think it’s possible that as these qb’s matured, their experience enabled them to largely compensate for the need to shift away from running.

statistical hypothesis testing is a math based way to answer that question. A question that it might be useful to know about what it would be reasonable to expect from Cam going forward barring injury.

 

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4Corners Grand Master

4Corners

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I do. I am probably a bit rusty since a most of my work does not involve this sort of detail. However, you have proved time and time again to disregard facts and have personally insulted me several times so I will not be offering you any help. Are you one of those dook fans who didn’t go to dook?

cheers! 

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Wes21 Mentor

Wes21

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29 minutes ago, 1of10Charnatives said:

Do you remember how big a sample size is needed? I think there’s about 8 to 10 guys you could use as a sample, but I don’t recall what the necessary threshold for statistical significance would be.

But what's the criteria to judge a QB on?  Yards/TD/INTs?  Rating?  QBR?  Wins?  Completion %?  Some abstract efficiency rating from a statistics site?  How do we decide a guy is a "running QB" or not?  What's the criteria for that?

I think its trying to add math and science to something that just needs to be discussed with fluid criteria, simply taking it player by player.  Start with Russell Wilson...he's been more effective as a QB.  BUT, his Super Bowls came back when he was less effective and cost less.

 

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Tbe Grand Master

Tbe

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48 minutes ago, 1of10Charnatives said:

Do you remember how big a sample size is needed? I think there’s about 8 to 10 guys you could use as a sample, but I don’t recall what the necessary threshold for statistical significance would be.

More than 8-10. You are looking at age and QBR I guess? At those low numbers one guy with a great or terrible record after 30 will have a major impact on the entire model. You need hundreds of QB’s to make it significant.

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4Corners Grand Master

4Corners

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58 minutes ago, Wes21 said:

But what's the criteria to judge a QB on?  Yards/TD/INTs?  Rating?  QBR?  Wins?  Completion %?  Some abstract efficiency rating from a statistics site?  How do we decide a guy is a "running QB" or not?  What's the criteria for that?

I think its trying to add math and science to something that just needs to be discussed with fluid criteria, simply taking it player by player.  Start with Russell Wilson...he's been more effective as a QB.  BUT, his Super Bowls came back when he was less effective and cost less.

 

Every thread bro - you say a lot, but you don’t really say anything at all. Bunch of words that don’t really mean anything. Bet you think you are super smart. 

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