answersLogoWhite

0


Best Answer

Neither the left or the right but the middle

User Avatar

Wiki User

9y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: Where is the majority of data when the distribution is symetric?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

Does all symmetrical distributions are normal distribution?

It is not necessary that all symetric distribution may be normal.


Where is all the majority of the data when the distribution is skwed right?

on the left and when it is skewed left it is on the right


What type of distribution pattern that occurs when the majority of the data values fall to the left of the mean?

positively skewed


Is a chair symetric?

yes


How do you put the word distribution in a sentence?

1. The typical distribution of data in a bell curve shows that variations occur rarely and the majority of data is clustered around a mean or average. 2. The distribution of funds by the board of directors will be decided based on several factors that affect the organizations needs. 3. After the earthquake, the aid relief was quick to respond with distribution of water, food and medical supplies


Can frequency distribution contain qualitative data?

frequency distribution contain qualitative data


If a great many data values cluster to the left of a data distribution which then tails off to the right the distribution is referred to as?

It is a positively skewed distribution.


How many line of symetric does a fish has?

Many line of


Why cosx is even function?

its graph is symetric x-axises


What artery in the body has no symetric artery on the other side?

aorta


What is a normal data set?

A normal data set is a set of observations from a Gaussian distribution, which is also called the Normal distribution.


What is the mean of the sampling distribution of the sample mean?

Frequently it's impossible or impractical to test the entire universe of data to determine probabilities. So we test a small sub-set of the universal database and we call that the sample. Then using that sub-set of data we calculate its distribution, which is called the sample distribution. Normally we find the sample distribution has a bell shape, which we actually call the "normal distribution." When the data reflect the normal distribution of a sample, we call it the Student's t distribution to distinguish it from the normal distribution of a universe of data. The Student's t distribution is useful because with it and the small number of data we test, we can infer the probability distribution of the entire universal data set with some degree of confidence.