# which of the following correctly describes the relationship between a parameter and a statistic?

Well, yes, I think it has the opposite: one variable defines the average of the two, and the other variable defines the average of the two. There are two different ways to define this relationship. You can say that the average of each variable is always the average of the two variables and then you can say that each variable is always the average of the two. I think it’s very important for you to understand that the average of a variable depends on exactly which variable you take into account.

So, if I take the average of a variable and say that the average of each variable is always the average of the two variables, I am saying that the average of the two variables is always the average of the two variables. I could also say that the average of a variable is always the average of the two variables.

I’m assuming that you are already familiar with the concepts of average. The concept of averages is important because it tells you that the average of all the data in a set is the average of all the data in the set. So, for example, the average of all the data in your set is the average of all the data in your set, but that is not the same as saying the average of the data in your set is the average of all the data in your set.

This is a very common question. There are two kinds of averages you need to know about, and both are referred to as a mean. The first kind of means is the average of all the data, which is the average of all the data in the set. The second kind of means is the average of the data in the set, which is the average of all the data in the set.

It’s not a perfect example to describe the two kinds of averages, but it is a good one.

This is a common type of data that is almost always missing in the data set. Its not a perfect example because its often missing. Its just not a perfect example because its usually missing.

mean is a more common term that is used when the data has a clear pattern of values. It is more commonly used to describe the average of all the data. For example, the mean of a set of data is the average of all the data in the set. When the data is not normally distributed, the mean is not the average of all the data. Its just not a perfect example because it often has a clear pattern.

The word “average” is not a perfect example either because it is often used as a descriptor of the average of all the data within a group. For example, “Average is the average of all the values in the set.

A statistic is a summary of data that is usually used to summarize the information in an entity. For example, the mean of a set of data is a statistic, it summarizes the information in a set.