Nov 9, 2024 · 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 …

Mar 16, 2018 · 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 …

Oct 6, 2019 · I have a bimodal length-frequency distribution for the females of a species with a one-year life span. This pattern is not observed in the males. I suspect that the bimodality is …

May 13, 2020 · I have lifetimevalue (LTV) data for 3 groups in my set. For each group, their respective LTV looks bi-modal. I need to test if there is a statistical significance between those …

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 …

Apr 21, 2012 · I have a data set which displays a bimodal distribution. This was determined by plotting a histogram of the frequency vs number. I now need to separate the two original …

Apr 23, 2022 · What summary statistics, mean, median, standard deviation, etc. should be used on a skewed, bimodal, dataset and why? These are almost U shaped in a histogram layout …

Aug 9, 2019 · I am trying to model data that looks like this: The data reflects frequencies of items at 0, 25, 50, 75, and 100. The majority of the time, values are concentrated at the 0, and 100 …

The word you may be looking for is bimodal. Binomial (logistic) regression does require your response to be dichotomous, but OLS reg very much does not, nor does it matter that your …

Apr 17, 2020 · In the distribution you coded you have two modes: mean1 and mean2 since you are mixing two normal distributions with differing means. This means that your distribution is …