How to identify a bimodal distribution? - Cross Validated A simple way to program a bimodal distrubiton is with two seperate normal distributions centered differently This creates two peaks or what wiki calls modes You can actually use almost any two distributions, but one of the harder statistical opportunities is to find how the data set was formed after combining the two random data distributions
r - Test for bimodal distribution - Cross Validated I wonder if there is any statistical test to "test" the significance of a bimodal distribution I mean, How much my data meets the bimodal distribution or not? If so, is there any test in the R pro
How do I normalize a bimodal distribution? - Cross Validated I'm working with the Iris dataset One of the variables, PetalWidth, has a clear bimodal distribution My understanding is that multivariate regression sssumes normality for each of the input varia
What transformation should I use for a bimodal distribution? I have some bimodal data like the one generated down (R language), and I don't know how to transform it to have a normal distribution or homoscedasticity I'm running a linear discriminant analysis
mean - Standard deviation on Bimodal data - Cross Validated Standard deviation, whilst it is often used on normal distributions, is it a useful statistic on global temperature, both daily and yearly, given that weight of the data is towards the ends of the histograms i e Bimodal?
Why is a mixture of two normally distributed variables only bimodal if . . . A mixture of two normal distributions with equal standard deviations is bimodal only if their means differ by at least twice the common standard deviation " I am looking for a derivation or intuitive explanation as to why this is true
regression - Dealing with bimodal residuals - Cross Validated It could be I have data from males females and also data from two countries However, I also have state and city-level data (which aren't evenly balanced) Could you explain to me what exactly it means to have bimodal residuals, and whether this needs to be transformed prior to running the regression?