# Tagged Questions

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### PROC CORR vs. REG?

Do both my independent and independent variable have to be normally distributed to run a linear regression? My dependent variable is normally distributed, but my independent is not...therefore, ...
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### Normality assumption and sample size

I know this is a very debated topic, even on this site, but I still couldn't find an answer to my problem. Recently I am working with large samples (300, 400 and more). For now, I am trying to use ...
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### Parametric vs. Nonparametric

I did perform a search for this question (I thought it was bound to be asked), but I haven't found one; hopefully this won't be a duplicate. I'm trying to decide if I should take a course in stats ...
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### Nonparametric and parametric parts in semiparametric credit scoring

I am confused about "parametric" and "non-parametric": Our topic is nonparametric estimators for probability of default. So first of all, we consider the generalized linear models, as an example we ...
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### Considerations for choosing transformation on small samples?

For a biological investigation, I am taking measurements of a set group of individuals over five points in time. The measurement is always between 0 and 1. Unfortunately, I was unable to measure every ...
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### Alternative to 2-way ANOVA when variances are unequal

I'm working on a question on 2-way ANOVA where there are 2 treatments and 1 blocking factor. The residual plots suggest unequal variance. What is another parametric or non-parametric alternative ...
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### Small n: non-parametric of parametric tests?

I am in a situation where I have sample with $n=19$, and the the data are not normally distributed (according to the results of a Kolmogorov-Smirnov test) for all the variables. The data were ...
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### How to test group differences when neither parametric nor nonparametric assumptions are met?

Consider following example. We asked 50 men and 50 women one question and they answered on 5 point likert scale (1 is completely disagree and 5 completely agree). Suppose that 50 men responded 20 ...
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### Advantage of kernel density estimation over parametric estimation

Is there any particular reason you will choose the kernel density estimation over the parametric estimation? I was learning to fit distribution to my data. This question came to me. My data size is ...
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### Form of $\chi^2$ test

This article uses the following form of the chi-squared test: $\chi^2=\sum\limits_{i}\frac{(m_i-n_i)^2}{m_i+n_i}$ where $m_i$ is the number of counts of bin $i$ in a modeled histogram and $n_i$ the ...
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### Tests significative with parametric calculations and non-significative with non-parametric ones! [duplicate]

Possible Duplicate: Comparing smoke and hormones level in two groups of people. Which test? I'm analyzing some data for an article about hormones concentrations and smoking. I was unsure ...
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### Is there any statistical test that is parametric and non-parametric?

Is there any statistical test that is parametric and non-parametric? This question was asked by an interview panel. Is it valid question?