Oh! OH!! Non-explosive projectile.
More damage that way.
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.
Oh! OH!! Non-explosive projectile.
More damage that way.
Can I call "the folks who actually answered" (in other words, the 56%) my sample size? Or is my sample size the entire population, all of whom were contacted?
I think the respondents would be your sample, but since it's not a random sample (it's self-selected) that mucks up the works. (I know I should just let someone who actually knows answer, but I feel the need to check if I actually retained anything at all.)
Or is my sample size the entire population, all of whom were contacted?
Yes, the number of people who answered the question.
Someone who is either pregnant or having a hard time with PMS, stuck the soup in the freezer, when she actually meant to stick it in a cabinet.
Or, you're on Candid Camera.
I see that this is getting confusing. Your sample is the 56% who answered one way and the 44% who answered the other way. It doesn't include people who were contacted but did not answer the question.
Are there any rugby fans around?
What's a "hooker" in rugby terms? I ran across this headline at the Guardian and blinked a couple of times.
Former England hooker Phil Greening has retired after failing to recover from a foot injury.
I'm pretty sure it meant something other than my first couple of thoughts.
Nevermind.
Thanks, Sue. I think I fixed it.
Ah, yes, that's the confusion. Here's the situation:
Population is 2,102. All of these people were contacted, and there were 1,097 responses. For the question I'm interested in, we got a response of 96% yes and 4% no out of that 1,097. Is there any way to use those numbers put together to convince people that this 96% is likely a reasonable representation of the entire population, or is the fact that the sample isn't random going to doom any such efforts?
Is there any way to use those numbers put together to convince people that this 96% is likely a reasonable representation of the entire population, or is the fact that the sample isn't random going to doom any such efforts?
Dude, totally. You can make numbers like that say anything!! Unless there are statisticians who will notice the non-randomness. Even so, it's a huge sample compared to the total population, which helps make the numbers more precise.