# Can a bimodal distribution be normal distribution?

### Table of Contents

- Can a bimodal distribution be normal distribution?
- What does it mean when a distribution is bimodal?
- Should you use mean for bimodal distribution?
- Can a normal distribution have two modes?
- How do you know if a distribution is bimodal?
- Can a bimodal distribution be symmetric?
- How do you deal with bimodal distribution?
- What is the most frequent score in a distribution?
- How do I know if my data is unimodal or bimodal?
- Are bimodal distributions skewed?
- Is the normal distribution the same as a bimodal distribution?
- How many peaks does a bi modal distribution have?
- What's the difference between unimodal and bimodal data?
- Which is the best description of a bivariate multimodal distribution?

### Can a bimodal distribution be normal distribution?

A bimodal distribution has two peaks (hence the name, bimodal). They are usually a mixture of two **unique unimodal** (only one peak, for example a normal or Poisson distribution) distributions, relying on two distributed variables X and Y, with a mixture coefficient α.

### What does it mean when a distribution is bimodal?

two modes
Bimodal literally means **"two modes"** and is typically used to describe distributions of values that have two centers. For example, the distribution of heights in a sample of adults might have two peaks, one for women and one for men.

### Should you use mean for bimodal distribution?

In symmetrical, unimodal datasets, the mean is the most accurate measure of central tendency. For asymmetrical (skewed), unimodal datasets, the median is likely to be more accurate. For bimodal distributions, the only measure that can capture central tendency accurately is **the mode**.

### Can a normal distribution have two modes?

In a set of data, the mode is the most frequently observed data value. ... There may also be two modes (**bimodal**), three modes (trimodal), or four or more modes (multimodal). In the case of grouped frequency distributions, the modal class is the class with the largest frequency.

### How do you know if a distribution is bimodal?

A data set is bimodal **if it has two modes**. This means that there is not a single data value that occurs with the highest frequency. Instead, there are two data values that tie for having the highest frequency.

### Can a bimodal distribution be symmetric?

The bimodal distribution can be **symmetrical if the two peaks are mirror images**. Cauchy distributions have symmetry.

### How do you deal with bimodal distribution?

**Here are a couple of approaches and their gotchas:**

- You could treat them as binary values(as Kevin) mentions. ...
- You could split them into two different variables(high_var1 and low_var1) and do multi-variable regression . ...
- Ignore this bimodal variable.

### What is the most frequent score in a distribution?

mode
The median is the middle score in a set of given numbers. **The mode** is the most frequently occurring score in a set of given numbers.

### How do I know if my data is unimodal or bimodal?

A histogram is unimodal if there is one hump, **bimodal if there are two humps and multimodal if there are many humps**. A nonsymmetric histogram is called skewed if it is not symmetric. If the upper tail is longer than the lower tail then it is positively skewed.

### Are bimodal distributions skewed?

Bimodal: A bimodal shape, shown below, has two peaks. This shape may show that the data has come from two different systems. ... A skewed distribution **can result when data is gathered from a system with has a boundary such as zero**. In other words, all the collected data has values greater than zero.

### Is the normal distribution the same as a bimodal distribution?

Although most statistics courses use unimodal distributions like the normal distribution to explain different topics, bimodal distributions actually show up fairly often in practice so it’s useful to know how to recognize and interpret them. Note: A bimodal distribution is a specific type of multimodal distribution.

### How many peaks does a bi modal distribution have?

A bimodal distribution has two peaks (hence the name, bi modal). They are usually a mixture of two unique unimodal (only one peak, for example a normal or Poisson distribution) distributions, relying on two distributed variables X and Y, with a mixture coefficient α.

### What's the difference between unimodal and bimodal data?

Unimodal: it identifies two peaks that aren't really there, I would wish the two means were (much) closer Close Bimodal: it identifies this one just fine, I would not want this to be considered unimodal The bimodal data you have may be a mixture of normal components, but that mixture is not normal.

### Which is the best description of a bivariate multimodal distribution?

A bivariate, multimodal distribution In statistics, a bimodal distribution is a probability distribution with two different modes, which may also be referred to as a bimodal distribution. These appear as distinct peaks (local maxima) in the probability density function, as shown in Figures 1 and 2.