Central tendency and its advantages and disadvantages
Answers
Answer:
Step-by-step explanation:
Central tendency is defined as “the statistical measure that identifies a single value as representative of an entire distribution.”[2] It aims to provide an accurate description of the entire data. It is the single value that is most typical/representative of the collected data. The term “number crunching” is used to illustrate this aspect of data description. The mean, median and mode are the three commonly used measures of central tendency.
EAN
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 (e.g. if a sequence was something like 3 6 4 3 40 3 then 40 is seen as extreme) it can also generate an unrepresentative figure.
MODE
ADVANTAGES
The figure produced will be one that is actually in the set of numbers which is not always true for other measures of central tendency e.g. in a sequence of 3 6 3 11 4 3, the mode = 3. This number we can see is present in the sequence. However, other measures such as the mean would give us a figure of 5 (total of all number which is 30 divided by how many numbers there are which is 6) which is not part of the sequence.
It is the only measure of central tendency which is useful for nominal data.
DISADVANTAGES
There may be more than one modal value (known as bimodal) which makes the data less reliable.
MEDIAN
ADVANTAGES
Good to use with ordinal data.
It is generally unaffected by anomalies and so safer to use with extreme values.
DISADVANTAGES
Does not work well with small sets of data.
Explanation:
Measures of central tendency are numbers that tend to cluster around the “middle” of a set of values
Mode :
Advantage : It is easy to obtain
The mode is the only taht can be used for data taht have the character of a nominal scale
disadvantages :
not very stable
There may be more than one mode for a particular score
Median :
Advantage :
Median is concerned with central point
Disadvantages :
It respond to how many score lie above or below but it not far away the score may be
Mean :
Advantage : It is most resistant to chance sampling variation
stable from sample to sample
disadvantage :
increasing and decreasing the value of any score will change the mean
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