Sage Advice About variance vs covariance From a Five-Year-Old
I guess this is an easy question and one that I get asked a lot as well. Variance seems to be something of a buzzword in the psychology world, but to me it’s not. Variance in a set means that it is dependent on other variables in the set. Covariance, on the other hand, means that the same variable only predicts different values when other variables are varied.
There is some overlap between the two concepts, but more importantly variance is a more general concept that can be applied to many different kinds of variables. Variance is the concept that a variable is dependent on some other variable, but it is not independent of that variable. Covariance, on the other hand, is a more general definition that applies to many different types of variables.
Variance is a more specific concept. For example, variance is the variable I am testing for in a question about how a recipe should be prepared, covariance is the variable I am testing for in a question about how a recipe should be prepared, and these questions are all about how a recipe should be prepared.
I’m sure that some people think that variance is the same as covariance. But in fact, they can be quite different.
In a sense, variance refers to the amount of variation I’m finding among a large population, whereas covariance refers to the amount of variation I’m finding among a small group of participants. For example, if a group of 5 people are eating the same food and doing basically the same thing, then their variance is not the same as our variance. But if they are eating the same food and doing the exact same thing, then our variance is similar to their variance.
The term covariance is used in statistics to describe the covariation of two variables, such as when you see your own face when you open your eyes. In that case, it’s not the same as the variance. Because you may be seeing different things, you could be seeing things in a way that makes you different from your friends. The two variables are said to be “covariant,” because they don’t have to do with each other.
Variance is relative to the group. A group that is homogenous will have the same variance, as well as the same absolute variance. A group that is heterogeneous will have different variances, and will vary on average. So if your group consists of 10 people and you have two of them that are 50% different it will be 50% different from the others.
In the example above, having a few different ideas about what a group is will make you very different from them, but it will also make them different from each other. That is, if you are a person of different racial backgrounds and your group consists of 10 people, you will have a variance of 10 (10 from each group). If you are an Arab, you will have a variance of 50, because 50 is a whole number; 10 is the whole number of different Arabs in the world.
To be honest, this can be confusing. The way this works is this: What makes a group different from each other is variance, which is a relative measure of how different each group is. For example, if you are a person who has never been to a country with another group, you have a much higher variance than if you have been a person of that culture for a long time.
If the group you are in has a low variance, you will have much less variance than if you are in a group with a high variance. Variance is a measure of how far away a group is from your group. A group with a high variance is a group that is very different than your group.