What does variance mean in statistics?

variance is a measure of how spread out the data is. High variance data is more spread out than low variance data. One way to describe the difference between high and low variance data is to say that one group of data is normally distributed while the other group is not. Normally distributed data has a bell-shaped curve that looks like a “hat” when graphed.

What does variance mean in statistics class?

We use the term “ variance to describe how spread out a set of data is. If you look at a bunch of different heights, there will be a lot of different heights among the group. The variance is the average of the squared deviations from the mean for each value. Squared means you square each value, so you’ll end up with something like “5.5 feet” or “5 feet 6 inches” or “5 feet 11

What is the variance mean?

The variance measures how much variation there is in a group of data. The more variation there is in the data, the greater the variance is. Data that has a higher variance is sometimes called “noisier” than data that has lower variance.

What does variance mean in algebra?

When we talk about a set of data, we can use the average to describe it. There are a lot of different ways to measure the average. One of the most common is the mean, which is essentially the sum of the values in the set, divided by the number of values in the set. The mean of a set of numbers is equal to the sum of the numbers in the set, divided by the number of values in the set.

What does the variance mean?

Stated simply, the variance is the average of the squares of the deviations of the scores from the mean. The square root of the variance gives us the standard deviation, which is the distance between an individual score and the mean that we would expect to see if the scores were normally distributed.