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0 votes
0 answers
87 views

Which statistical Test should I use/ Comparing 2 groups

I am new to statistics, can someone guide me regarding the test I should use to compare the foot dimensions of 9 subjects to footwear dimensions (we have 2 footwear brands). So, to simplify, I have ...
user365200's user avatar
2 votes
0 answers
38 views

Is there a parametric trend test with provable power?

I have $N$ samples $x_1,\dots,x_N$ and I want to test following hypotheses. The null hypothesis is that $x_1,\dots,x_N$ i.i.d. sample from a normal poplulation $N(\mu_1,\sigma^2)$, with unknown mean $\...
Ruiyuan Huang's user avatar
-1 votes
1 answer
36 views

How does the normality assumption change a parametric test? [closed]

I understand what a parametric test assumes: normality, equal variance, homoscedasticity, etc. Bu how does this assumption change the setup of the actual test, as compared to a non-parametric test? ...
Adam_G's user avatar
  • 371
5 votes
4 answers
2k views

Why use parametric test at all if non parametric tests are 'less strict'

I have read from several sources, even in my undergrad courses, that parametric tests require the data to have a certain distribution, for instance normal, whilst non-parametric don't. I have ...
user2552108's user avatar
2 votes
0 answers
58 views

Parametric test for testing if two sets of samples came from the same normal distribution with unknown parameter?

Is there a parametric test to see if two sets of samples came from the same normal distribution with unknown parameter? Suppose I have one set of samples $X_1, X_2, \dots, X_m$ and another set of ...
Tianyang Li's user avatar
2 votes
0 answers
167 views

How do I check data for normality, then what next...?

I am currently undertaking a hypothesis test for some financial returns data. I'm getting slightly confused on parametric versus non-parametric testing. I am testing a market portfolio of 305 stocks ...
Darren Nicol's user avatar
1 vote
1 answer
2k views

Absolute variable as dependent variable

I have the following model: $$ |X| = B_0 +B_1 \cdot y + B_2 \cdot z , $$ where $z$ and $y$ are normally distributed random variables, and $B_1$ and $B_2$ denote the coefficients. My dependent ...
Mr. Radical's user avatar