Table of Contents

- 1 What type of distribution has two peaks?
- 2 How do you determine if a distribution is symmetrical?
- 3 Can a normal distribution have two peaks?
- 4 How do you know if a distribution is bimodal?
- 5 What is the difference between a normal distribution and other symmetrical distributions?
- 6 Why is normal distribution symmetrical?
- 7 Can a bimodal distribution be symmetric?
- 8 What is the peak of a normal distribution?
- 9 Which is the best description of a symmetrical distribution?
- 10 Can a bimodal distribution have two peaks?
- 11 What is the skewness of a symmetric distribution?

## What type of distribution has two peaks?

bimodal distribution

A unimodal distribution only has one peak in the distribution, a bimodal distribution has two peaks, and a multimodal distribution has three or more peaks.

## How do you determine if a distribution is symmetrical?

A distribution is symmetrical if a vertical line can be drawn at some point in the histogram such that the shape to the left and the right of the vertical line are mirror images of each other. The mean, the median, and the mode are each seven for these data.

**Can a distribution have multiple modes?**

In statistics, a bimodal distribution is a probability distribution with two different modes, which may also be referred to as a bimodal distribution.

### Can a normal distribution have two peaks?

Bimodal Distribution: Two Peaks. Data distributions in statistics can have one peak, or they can have several peaks. The type of distribution you might be familiar with seeing is the normal distribution, or bell curve, which has one peak. The bimodal distribution has two peaks.

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

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.

**Are there any peaks in the distribution?**

A peak of a distribution is a “bump” or high point in a graph. In statistics, the peaks are more formally called modes; The data count is higher in these areas than in any other parts of the graph. In calculus, the peaks are often called local maximums or global maximums. A bimodal distribution has two peaks.

#### What is the difference between a normal distribution and other symmetrical distributions?

The standard normal distribution has two parameters: the mean and the standard deviation. Symmetrical distribution is one where a dividing line produces two mirror images, but the actual data could be two humps or a series of hills in addition to the bell curve that indicates a normal distribution.

#### Why is normal distribution symmetrical?

The curve is symmetrical about a vertical line drawn through the mean, μ. In theory, the mean is the same as the median, because the graph is symmetric about μ. As the notation indicates, the normal distribution depends only on the mean and the standard deviation.

**What if there are two modes in a data set?**

If there are two numbers that appear most often (and the same number of times) then the data has two modes. This is called bimodal. If there are more than 2 then the data would be called multimodal. If all the numbers appear the same number of times, then the data set has no modes.

## Can a bimodal distribution be symmetric?

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

## What is the peak of a normal distribution?

In a normal distribution graph, the mean defines the location of the peak, and most of the data points are clustered around the mean. Any changes made to the value of the mean move the curve either to the left or right along the X-axis.

**Can a bimodal distribution be skewed?**

Bimodal histograms can be skewed right as seen in this example where the second mode is less pronounced than the first. This second mode may or may not have any practical meaning but could be worth investigating to be certain. Distributions having more than two modes are called multi-modal.

### Which is the best description of a symmetrical distribution?

BREAKING DOWN ‘Symmetrical Distribution’. Symmetrical distribution, commonly known as symmetric distribution or normal distribution, is typically unimodal, meaning it shows only one peak in graph form. Bimodal distribution is possible as well; this type of graph has two peaks and shows two bell curve shapes located side by side.

### Can a bimodal distribution have two peaks?

However, a distribution can also be bimodal and be symmetrical. A bimodal distribution is a distribution that has two peaks. Notice that if we drew a line down the center of this distribution, the left and right sides would still mirror each other. For these distributions, the mean and the median are equal.

**Which is a distribution that has two peaks?**

A bimodal distribution is a distribution that has two peaks. Notice that if we drew a line down the center of this distribution, the left and right sides would still mirror each other. For these distributions, the mean and the median are equal. However, the mode is located in the two peaks.

#### What is the skewness of a symmetric distribution?

For symmetric distributions, the skewness is zero. This is in contrast to left-skewed distributions, which have negative skewness: This is also in contrast to right-skewed distributions, which have positive skewness: In a symmetrical distribution, the mean, median, and mode are all equal.