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Results tagged with chi-squared-test
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user 1352
A test (typically of distribution, independence, or goodness of fit), for the family of distributions use [chi-squared-distribution].
1
vote
Why final Chi Square value is too large while fitting goodness of fit for Poisson distribution?
How do you condense $4,000\times 256$ two-dimensional data points into ten bins? And why do you believe the result should be Poisson distributed?
It seems like the answer simply is that it isn't, and …
- 131k
1
vote
What hypothesis test should I use to compare the overall performance of two different athlet...
If you are interested in mean running times and whether A is faster on average than B, then a t test is exactly what you are looking for.
Since I would be sourcing the data from IAAF's site, there …
- 131k
2
votes
Should a chi-square goodness-of-fit test be followed up with Odds Ratio?
It will depend very much on your specific question and dataset. You may want different ORs (which ones to report is a question in itself if you have more than two categories), or it may be useful to s …
- 131k
1
vote
Accepted
Comparing models
I agree with @Glen_b that you seem to be looking for mixed models. You can use a variant of Akaike's Information Criterion for model selection here. Bonus: AIC works for non-nested models. Here is a r …
- 131k
0
votes
Check if multiple percentage are significant
The appropriate statistical test is Fisher's exact test. Given your large numbers, you will need to use simulation to obtain $p$ values. In R, you can do this as follows:
> TT <- rbind(c(20894-26,229 …
- 131k
8
votes
Test if two gamma distributed populations are different
Let's simulate some data based on your fits:
shape.x <- 0.586219900
rate.x <- 0.012159695
shape.y <- 0.491757644
rate.y <- 0.006671180
set.seed(1) # for replicability
x <- rgamma(186,shape=shape.x,ra …
- 131k
40
votes
Accepted
How to statistically prove if a column has categorical data or not, using Python
Short answer: you can't.
There is no statistical test that will tell you whether a predictor that contains the integers between 1 and 10 is a numeric predictor (e.g., number of children) or encodes t …
- 131k