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I have a non-normal distribution (normalish looking, but skewed right), and I need to figure out how to find z-scores. Computing z-scores is easy enough for a normal distribution, but I have no clue how to do it for non-normal distributions. Any help from the stats folks here would be greatly appreciated.

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look at the definition of what a z-score is6ec612191ec701ea8db49fa3b4913168.pngedit: I see you said non-normal. I was wondering why this was so simple. uhh. not sure. I'll check my stat books
Thanks! I've poked through my stats books and haven't found anything...but I'm in the social sciences so we're a bit slower than the actual math types :club:
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what is it exactly that you are given? what does the question ask?
It's an actual dataset, so I have pretty much any information you'd need or want :club: So I have a mean, standard deviation (which if it were normal would be enough), and any other measures you'd ever want.Edit: The dataset has something like an N of 16000...not sure if there's any difference between t-score and z-score for non-normal distributions, but I thought I'd throw that out there.
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what does the question ask you to do?I'd say you should try to get the data to be normal by getting rid of any outliers, or separating by subgroups or something.It's hard to know what's going on without knowing the question.

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what does the question ask you to do?I'd say you should try to get the data to be normal by getting rid of any outliers, or separating by subgroups or something.It's hard to know what's going on without knowing the question.
It's actual analysis on a paper, so there's no specific question. But let me give more detail on what I'm actually trying to do with this dataset.I have a set of distances between word-pairs (N=16600), and I'm trying to figure out how many z-scores a specific word pair is away from the mean of the distribution. I'm attaching the plot below - but basically what I'm trying to do is show that Americans and We are statistically further away from the mean than November is.densityplot2.jpg
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uhh. weird. I'm kinda confused about what the heck you're doing but ok.I'd say you could probably just say that the distance between word pairs (ths is what the X axis is right?) for americans and we are in the 500 area whilst november has a distance of 900 or so and the mean is at 1050. I don't think you need the distribution to talk about that?Either that or send an email to your prof for clarification. I'm still a bit confused about what you're doing.

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uhh. weird. I'm kinda confused about what the heck you're doing but ok.I'd say you could probably just say that the distance between word pairs (ths is what the X axis is right?) for americans and we are in the 500 area whilst november has a distance of 900 or so and the mean is at 1050. I don't think you need the distribution to talk about that?Either that or send an email to your prof for clarification. I'm still a bit confused about what you're doing.
The whole word distance thing is kinda goofy - it has to do with priming and word relatedness. The prof delegated this down to me - I'm the methods guy on the team apparently, which is working out incredibly well for me :club: We're looking for some sort of hypothesis testing framework in which we can discuss these numbers - which is why we want z-scores. Social scientists are used to z-scores and p-values, so that's what we're trying to give them. Something more "scientific"...good times :ts
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does it say anything like the population is normal? Id try computing it like its a normal distibution but im not sure...

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Z scores are not restricted to Normal DistributionsIf you need help calculating the Standard Dev or Mean, let me know.
So it's calculated in exactly the same way? If it's not normally distributed there are different percentages of the data on each side of the mean - doesn't a standard deviation mean more on the right side of the mean than the left?
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look at the definition of what a z-score is6ec612191ec701ea8db49fa3b4913168.pngedit: I see you said non-normal. I was wondering why this was so simple. uhh. not sure. I'll check my stat books
So if you have the point where November falls you should be good to go. I'm not sure why you want it in z-scores and not can't just say it's -1.25 standard deviations away from the mean or something, but whatever I don't remember stats that well.
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So it's calculated in exactly the same way?
Yes. Z = (X - Mean) / Stnd Dev
If it's not normally distributed there are different percentages of the data on each side of the mean
Not always true
- doesn't a standard deviation mean more on the right side of the mean than the left?
A Standard Dev is just a statistic to describe the distance from the mean, it's not related to left or right
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So if you have the point where November falls you should be good to go. I'm not sure why you want it in z-scores and not can't just say it's -1.25 standard deviations away from the mean or something, but whatever I don't remember stats that well.
that's what Z score is.What Normal Z-scores allow is for you to convert it to a nice percentage
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I have to disagree with Actuary on this one. Calculating a z statistic is basically meaningless for a distribution with this shape. You should certainly not be making inferences about probability based on this Z score, as this distribution his highly skewed and probability values associated with Z will not apply. It's still not clear why you want a Z score. If you are trying to test for significance you will have to look into non-parametric statistics.

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I have to disagree with Actuary on this one. Calculating a z statistic is basically meaningless for a distribution with this shape. You should certainly not be making inferences about probability based on this Z score, as this distribution his highly skewed and probability values associated with Z will not apply. It's still not clear why you want a Z score. If you are trying to test for significance you will have to look into non-parametric statistics.
How dare you!SpiderGuard says he wants a Z-score.I told him he can have a Z-score without a Normal DistributionWhat are you disagreeing with?"Probability Values Associated with Z-scores" ... seems like you are thinking in terms of Normal, as my post above your noted.ps. Why are you disreguarding the other Parametric distributions. Just curious. Seems like something else could be fit; but alas, I don't recall the general shapes of these.
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I have a non-normal distribution (normalish looking, but skewed right), and I need to figure out how to find z-scores. Computing z-scores is easy enough for a normal distribution, but I have no clue how to do it for non-normal distributions. Any help from the stats folks here would be greatly appreciated.
When I had to figure out z-scores, we had a table we were allowed to use. I'd look online.
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SpiderGuard says he wants a Z-score.I told him he can have a Z-score without a Normal DistributionWhat are you disagreeing with?
I've just never seen a z score applied to a non-normal distribution. I don't see what the purpose is.
ps. Why are you disreguarding the other Parametric distributions. Just curious. Seems like something else could be fit; but alas, I don't recall the general shapes of these.
It's standard practice that when you don't know the shape of the distribution you use a test that doesn't make assumptions about the underlying distribution of the data.
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