Is this a skewed distirbution or bimodal? - Cross Validated
2016年7月18日 · The appearance of the histogram can sometimes be strongly affected by the choice of the bin-width and even bin-origin. The fact that the histogram in the question has many bins helps mitigate both the extent and the frequency of this kind of problem, but it can still occur.
How to find the threshold between two histograms at fixed false ...
2017年4月25日 · We can re-frame this problem in a different way. It is a very common problem to find a threshold to distinguish two classes in a bimodal distribution like this. Even in image processing and computer vision it is a common problem to find a threshold in a bimodal distribution to make a grayscale image to a binary image.
histogram - Separating the populations in a bimodal distribution ...
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 populations and therefore find an intersection point of sorts. From the plot it looks like the point might be approx. …
histogram - Is this a multimodal distribution? - Cross Validated
2015年6月2日 · First I described this histogram as slightly positively skewed. The skewness coefficient supported this. But then those three peaks caught my eyes and i was confused, because i've learned that it wouldn't make any sense to talk about skewness (or kurtosis) if the distribution is a bimodal or multimodal one. So, my question is one of several.
mean - Statistics to use on Bimodal data - Cross Validated
2022年4月23日 · 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 with a slight preference for lower values. They are of a single characteristic, so are not a mixture of 2 variables. An example data is the following:
How is a Bimodal distribution platykurtic? - Cross Validated
2021年7月22日 · Here is a histogram of a sample of a million observations from a beta distribution with shape parameters $\alpha=\beta = 0.5.$ The Wikipedia link has formulas for the mean, variance, skewness, and kurtosis of beta distributions (for given $\alpha,\beta)$. The superimposed normal density curve matches the mean and SD of the sample. R code for ...
hypothesis testing - How to apply a statistical test on either a bi ...
2020年5月13日 · The Central Limit Theorem works for bimodal distributions. To verify that averages of samples as large as ours tend to be normal, we can re-sample from x1. Ten thousand averages, re-sampled (with replacement) of size 3000, are nearly normally distributed as shown in the histogram below. The red normal curve is a reasonably good fit to the ...
mean - Standard deviation on Bimodal data - Cross Validated
2022年4月28日 · 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? This means that a very small multiple of any SD (say 1.5) will cover 100% of the data. Example data is the following:
Is this distribution bimodal? - Cross Validated
2018年3月16日 · On the other hand, and this is the important part, this means that your histogram's appearance will depend heavily on how you define the bins. Try plotting histograms with bin widths of 1.0 or 0.1 instead of the 0.5 you seem to be having. You will get very different results, in particular given the small amount of data you have.
What is a bimodal histogram? - Answers
2023年9月14日 · bimodal histogram is a histogram where there are two clear high points on the graph. ex.) age of people at a preschool play group. There would be preschool age and adult age. Not many teenagers or ...