# What does a stable relationship mean and median

### What makes for a stable marriage? | Dr. Randal S. Olson

INTRODUCTION. Apart from the mean, median and mode are the two commonly used measures of central tendency. The median is sometimes referred to as a. 7 items Terms: central tendency, mode, median, mean, outlier. Symbols: Mo the mode is the least stable of the three measures of central tendency. this means. You can always tell when a couple is in a stable relationship. This means not only love and affection but anger and frustration as well. Stable.

## What makes for a stable marriage?

There are different types of mean, viz. If mentioned without an adjective as meanit generally refers to the arithmetic mean.

It is computed by adding all the values in the data set divided by the number of observations in it. The research articles published in journals do not provide raw data and, in such a situation, the readers can compute the mean by calculating it from the frequency distribution if provided. Open in a separate window Where, f is the frequency and X is the midpoint of the class interval and n is the number of observations.

- Measures of Central Tendency
- What Makes a Stable Relationship?
- Measures of central tendency: The mean

Readers are cautioned that the mean calculated from the frequency distribution is not exactly the same as that calculated from the raw data. It approaches the mean calculated from the raw data as the number of intervals increase.

The irony in this is that most of the times this value never appears in the raw data.

## Measures of central tendency: Median and mode

Repeated samples drawn from the same population tend to have similar means. The mean is therefore the measure of central tendency that best resists the fluctuation between different samples.

Even though mean can be calculated for numerical ordinal data, many times it does not give a meaningful value, e. Weighted mean Weighted mean is calculated when certain values in a data set are more important than the others. You can, therefore, sometimes consider the mode as being the most popular option. An example of a mode is presented below: Normally, the mode is used for categorical data where we wish to know which is the most common category, as illustrated below: We can see above that the most common form of transport, in this particular data set, is the bus.

However, one of the problems with the mode is that it is not unique, so it leaves us with problems when we have two or more values that share the highest frequency, such as below: We are now stuck as to which mode best describes the central tendency of the data.

This is particularly problematic when we have continuous data because we are more likely not to have any one value that is more frequent than the other. For example, consider measuring 30 peoples' weight to the nearest 0.

### Measures of central tendency: Median and mode

How likely is it that we will find two or more people with exactly the same weight e. The answer, is probably very unlikely - many people might be close, but with such a small sample 30 people and a large range of possible weights, you are unlikely to find two people with exactly the same weight; that is, to the nearest 0.

This is why the mode is very rarely used with continuous data. Another problem with the mode is that it will not provide us with a very good measure of central tendency when the most common mark is far away from the rest of the data in the data set, as depicted in the diagram below: In the above diagram the mode has a value of 2.

We can clearly see, however, that the mode is not representative of the data, which is mostly concentrated around the 20 to 30 value range. To use the mode to describe the central tendency of this data set would be misleading.