I am happy for Allyson, and sad for the turkey mango wrap. Mango should be introduced as a delight, and elevate the rest of the dish.
That tangentially reminds me -- I need to do the shopping for escoveitched fish. Which has no mango.
Off-topic discussion. Wanna talk about corsets, duct tape, or physics? This is the place. Detailed discussion of any current-season TV must be whitefonted.
I am happy for Allyson, and sad for the turkey mango wrap. Mango should be introduced as a delight, and elevate the rest of the dish.
That tangentially reminds me -- I need to do the shopping for escoveitched fish. Which has no mango.
Oh, the mango did not fail, the turkey did. Processed turkey slices couldn't hold their own.
Yay, Allyson!!
Woohoo, Allyson!
Fingers crossed for you.
The mango news makes me feel a bit better.
Hey, is there anyone around who knows statistics? I've got a yes/no survey here with a response rate of about 56%, and I want to know if there's any way to get from that to a margin of error on the percentage of yeses. It seems like there must be, but frankly it's been six years since I had stats and most of it is apparently gone from my brain.
You need the total sample size, Katie, I'm pretty sure. Like here: [link]
In other news, I am now convinced that the Vitamin Water is magic, as I seem to be pretty much all better today. So that's something.
I've never thought of it as magic, but I have thought of it as crack.
As Jesse says, just by knowing the sample size you can get what pollsters call margin of error, which is a broad concept that applies to all of the numbers in their poll. It's fairly useless from a statistical standpoint, but good enough to tell whether you should take the numbers seriously at all.
If you want a specific confidence interval for your .56 you compute the standard error. You take the square root of:
(.56*(1-.56)/N where N is the sample size.
Then once you have the standard error you multiply it by the factor that will give you a given confidence interval. For instance, + or - 1.96 times the error gives you a 95% confidence interval for the percentage.