Now I want to see Belichick anime-ized! Google let me down. What color should his hair be? Or, can't we see it for his hood? If you draw, can you make it happen?
I suspect you are confusing the error bar for an individual measurement (measurement error) with the error bar for a mean (standard error). The standard error for the mean is related to measurement error (along with random variation and other variables which give a sample its variation as...
His definition of p-value, a core concept in his argument, is wildly wrong and, which is worse, wildly misleading. I agree with you that a lay reader would be confused and bogged down by the appropriate use of a p-value. I am simply informing the lay reader that the author is not using the...
I had the luck to be in the fourth row of the endzone, right behind the camera well, so it was sort of a first row, to see Messi score his goal. I am hardly a soccer fan, but I love tournaments and playoffs in almost any sport. I could not pass up the opportunity to see these great athletes...
Hi Ian,
I'm a long-time supporter and faithful lurker. I have a couple of suggestions about subscriptions:
First, make the name on the credit-card charge more apparent that it's you and/or patsfans.com. When I saw an unexpected charge from "Ikinternetd," I suspected fraud.
Second, for the...
That's funny. Of course, you want to take out Brady's yards! I totally blanked on that. That's a classic example of the part/whole problem in classical item analysis. :)
BTW, The R-square stat from a regression of one variable on another is just the square of the Pearson product moment...
If the relationship is linear, then here is the model specification that I am recommending:
TBPY = Beta0 + Beta1*OAPYA + Error
Where TB's Passing Yards (TBPY) equals something plus something times Opponents' Average Passing Yards Allowed (OAPYA) plus an acknowledgment that there is plenty of...
Here's how to sharpen your analysis:
Create a scatterplot of TB's passing yards vs. opponents' average passing yards allowed.
Determine the functional form of the relationship. Linear? Quadratic?
I assume the relationship is negative: Fewer passing yards when opponent is better at...
I wrote a program (in R) to answer hambone1818's question:
TB.runs <- function(m)
{
sapply(1:m, function(o)
{
y <- rle(rbinom(4694, 1, .018))
ifelse(max(y$lengths[y$values==0])>= 319, 1, 0)
})
}
mean(TB.runs(50000))
Under all the...
The Poisson approximates the binomial, when the instances are rare (i.e., the probability of "success" is small, where "success" means an interception in this case, go figure). Yes, your approximation is good, but it is still just an approximation...for my number!
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