# Questions tagged [z-score]

The z-score of an observation is the number of standard deviations above or below the mean of the distribution of observations from which it came.

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### Z-score from Skewed Student T

I'm implementing the following method. The text is provided for background, but my question is about line (8). Am I understanding this as "a z-score generated from a standardized skewed Student t?" ...
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### z-score using arithmetical mean or annual compounded return

I want to predict the probability of a specific stock market index return based on a set of 90 yearly returns. For doing that, I thought about normalizing the data and then use the z-score to ...
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### How to determine 95% confidence interval for known population variance?

Consider group 1 only and suppose that the population variance is 12. What is the 95% confidence interval for population 1? Group 1 (Experimental Group) X bar 1 = 33 Sample size = 10 Population ...
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### Way to make Z-Scores Positive

Hoping for some help with this. I need to calculate the the ranking for a number (eighty or so) groups, based on a number of component scores. Each component score is weighed. For example: Component ...
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### comparing z scores from variables with different value range

I'm trying to understand z scores and how to use them. As far as I understand, I can use the z transformation to be able to compare different variables with different value range, that were not ...
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### QQ plot comparison of z-normalized datasets

I want to make sure I'm correct in my assumptions. I'm predicting financial returns by using different ML models. There are 4500 values in each dataset. The density plots of all models are shown like ...
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### How to convert data (percentages) into z-scores?

I have data for total population and percentage of smoking for 10 cities. The data look like below: How do I convert the percentage_smoke into z-score? Do I need to take into consideration of the ...
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### Significance of differences between group-differences

Background: We have RNA-seq data (a method to quantify the expression of genes in a cell) from different cell types. These data were normalized using a method called TMM and then log2-transformed ...