# Strengths and weaknesses of the measures of central tendency and dispersion

However, the mode may be far different from the median in ordinal measurements. The following graph shows a larger retirement age data set with a distribution which is right skewed. For a small data set, you can calculate the arithmetic mean quickly in your head or on a piece of paper.

This is called a bi-modal data set. If mentioned without an adjective as meanit generally refers to the arithmetic mean. Dawson B, Trapp RG. The mean is therefore the measure of central tendency that best resists the fluctuation between different samples. The mean is the most appropriate measure of central tendency if the original data stems from measurements.

For such a case we say that there are two mode values, or three if there is a three-way tie, and so on. It is possible to have two or more values that appear equally often in these lists. With an odd number of items there is always a middle term. We know that n is an odd number. The median is generally the preferred measure of central tendency if our values consists of counting things, rather than measuring them.

It is very sensitive to outliers and does not use all the observations in a data set. Remember that once we find the two middle terms, the median is the mean of those two values.

Each measure has its appropriate and its inappropriate uses. Calculating the average performance of the total portfolio or a basket of stocks is a typical case when arithmetic average is not suitable and it is better to use weighted average instead. Two data sets can have the same mean but they can be entirely different. Most of the time with large data sets the two middle items will have the same value. Finding the mean of interval and ratio measures produces a value that could easily be one of the measurements. Revise your understanding of levels of measurement if you are still unsure. It approaches the mean calculated from the raw data as the number of intervals increase.

In that case, the median is the mean of those two values, which is the same value. For example, let us say that there are 10, registered students at Washtenaw Community College, and that the mean age of those students is The median wealth of people staying at a hotel on a given night will not change much at all if Bill Gates suddenly registers there.

This value is much higher than the other values, and could be considered an outlier. What is the median? These are the mean, the median and the mode. The mode stands by itself in those cases. There is no order to the underlying data. The median is appropriate if the original data has an underlying order.

The more volatile the returns are, the more significant this weakness of arithmetic average is. All of the values in that data set are at least close to the mean, and one gets the feeling that the mean, 8, is representative of the numbers in the data set.

There is no color assigned to that value.Arithmetic average: the basic measure of central tendency. Arithmetic average, of arithmetic mean, or just mean, is probably the simplest tool in statistics, designed to measure central tendency in a data set (which can be a group of stocks or returns of a stock in particular years).Using arithmetic average has advantages and disadvantages, and in some cases you may find other measures (like.

Advantages and disadvantages of measures of central tendency. MEAN. ADVANTAGES. One makes use of all the available data so it is the most powerful measure to use.; It is good for ordinal or interval sets of data.; DISADVANTAGES.

Sometimes the end figure is a decimal figure, which makes the data less meaningful. If there are extreme values. The measures of central tendency are the mean, the median, and the mode.

These values are computed from the data that we are given. These values are computed from the data that we are given. The mean and median are two different attempts to find a single number to represent the "center" of the data values.

Central Tendency- Descriptive statistics that identify which value is most typical for the data set The Mean Adding all of the scores in a data set together and dividing by the number of scores.

Central Tendency- Descriptive statistics that identify which value is most typical for the data set The Mean Adding all of the scores in a data set together and dividing by the number of scores. Measures of. Variability.

CHAPTER. 4. Chapter Outline. An Example From the. The Range • Strengths and weaknesses of the range The Interquartile Range • Strengths and weaknesses of the interquartile range Similar to measures of central tendency, there are multiple measures.

Strengths and weaknesses of the measures of central tendency and dispersion
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