# Mean, Median, Mode

Monday, January 31, 2011 Jo Hanniffy 0 Comments

Like SPSS, a data has to be correctly set up once is ranged as otherwise it will effect the rest of the interpretation of data. However, as it's ranged by a human being so occasionally error data may occur. Therefore understanding the basic of the statistic is crucial on the task and the key of studying statistic is knowing where and how to process and to interprete data

Mean, Median, and Mode are the central tendency on statistic though there are still many others use in statistic, such as Variance and Standar Deviation. These are very common terminology on data statistic and used everyday as the languange of the interpreting data.

These measures of central tendecy has its own formula in interpreting a data. Their functions to summarize and describe a data as well as identifying the value in a data; and most typical and likely scores within a distribution.

Mean

Mean is everyday concept of avarage. This is the sum of scores or values of a variable divided by their number (X). This concept tendency is using a measurement of interval/ration or it's commonly called with scale.

To calculate the arithmetic Mean, we need to sum all the scores in distribution and then divide them by the number of scores.

For example:

2, 4, 6, 2, 2, 7, 9

What is the avarage (mean) from the data above?

2+4+6+2+2+7+9/2
=35/8
=4,2

Mode

Mode is the scores that occurs at greatest frequency most within the category of scores. This is usually easy to determine it as we can inspect it without computing needs.

For example:

2, 4, 6, 2, 2, 7, 9

The mode for the data above is 2.

Median

Median is really the middle number of a data. However, there are two types of median: event numbers and odd numbers.

Example of Event numbers: 66, 67, 68, 69, 70, 71, 72, 73.

The median of the data above is 69.

Example of Odd numbers: 66, 67, 68, 69, 71, 72, 73, 74.

We need to calculate to get the median of data above: 69+71= 140      140/2= 70

So the median is 70.

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# JS ESTD. 2008

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