# what is the more common term for a quantitative observation

A quantitative observation is one that is based on one or more quantitative data points that can be used to make a judgment of the value of the quantitative data and/or to assign a value to it. For example, a quantitative observation can be based on the statistical distribution of a variable within one or more populations.

There are many ways that we can use a quantitative observation to categorize the world as a whole.

We’ve all seen statistics that are so wildly out of whack that they make the statistics seem nonsensical. For example, in statistics, the “median” or average of a population is a common way to categorize the whole population. It is a very popular way to categorize the entire population because the median is a very common value to use in the population statistics.

Even though it is a common way to categorize the whole population, the median is often a statistical anomaly. For instance, on a web page about the United States, there is a chart that shows the median income, the average household size, the median age, and the median household income. This chart is so out of whack that it makes the statistics on the page seem nonsensical.

The median income is used because it is a common statistical value, but it is misleading. It is not the value that you average over all the values; it is the value that you take from your lowest and highest values. For instance, a person with a median income of $40,000 would have a median household size of 4, and a person with a median income of $100,000 would have a median household size of 8.

To get closer to what we mean by a common statistical value, we do this. We take the lowest value we can find and average it out. For instance, for the lowest income we could find, we could take a household income of $20,000 and calculate the average household size as 4. The same would be true for the lowest value we could find for a household income of $20,000.

This would mean that the median household size for a family with a median income of 20,000 is 4, and the median household size for a family with a median income of 200,000 is 8. Now obviously, this is just a guess, but the value we can find for a median household size is much higher than the value for a household size of 4, and the value for a median household size of 8 is very close to the value for a household size of 4.

This means the most common value we could find for a household income range of 20,000 to 200,000 is 4. This is a higher value than the most common household size range of 4 to 8. This means that a household size of 4 might be the most common household size, but that the most common household size is also the most common household size.

This is good because it gives us a common term for quantitative observations. There are some household sizes, like a family of four, where the most common household size is 4, but there are also household sizes, like a family of eight, with the most common household size a household of six.

In the case of a household of four, it means that the most common household size is 4. In the case of a household of eight, it means that the most common household size is 6. So a household size of 6 is the most common household size in family of eight, but that the most common household size in family of four is 4.