If anyone is scrolling by here and wants to attempt to explain hypothesis testing (traditional & P-value method) to an idiot, I'd sure appreciate it. Cuz, I'm feelin' real stupid over here & have a test in just over 24 hrs.
Is there something specific you want to ask? I took statistics and might be able to help you.
Quoting from Wikipedia: "...statistical tests are used to determine how likely it is that the overall effect would be observed if no real relation as hypothesized exists."
If on a call toss, you call heads and the coin turns up heads, you would know that it was chance. A moron might think the fact that he called it caused it to turn up heads
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*Below* the P-value! Well, that right there is more than I've got from the class. Thank you!
Here's a specific question: If a problem is something like: A sample of 47 jelly beans yield a mean weight of .45 grams, with a standard deviation of 1.23 using a significance level of .01 to determine if the mean is equal to .47. (I just made this up, I suspect it makes no sense)
Where does the significance level come in? I know that I'd want to do a t-test looking for the mean, and I now see what the P-value involves, but why do I need a significance level? The teacher never seemed to explain that. Not that he explained anything.
The significance level is where our agreed upon point of the P-value is. I said that a tiny bit incorrectly before. The P-value you get from your experiment can be either above or below the significance level. If it's below the signficance level, then the experiment was a success
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Quoting from Wikipedia: "...statistical tests are used to determine how likely it is that the overall effect would be observed if no real relation as hypothesized exists."
If on a call toss, you call heads and the coin turns up heads, you would know that it was chance. A moron might think the fact that he called it caused it to turn up heads ( ... )
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Here's a specific question: If a problem is something like: A sample of 47 jelly beans yield a mean weight of .45 grams, with a standard deviation of 1.23 using a significance level of .01 to determine if the mean is equal to .47. (I just made this up, I suspect it makes no sense)
Where does the significance level come in? I know that I'd want to do a t-test looking for the mean, and I now see what the P-value involves, but why do I need a significance level? The teacher never seemed to explain that. Not that he explained anything.
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Thank you again! I'm going to try to apply this to some problems before the test tomorrow! You rock so much!
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