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Definition:
A measure of central tendency is a quantitative representation of the data under exploration or investigation. A measure of variability is a summarized statistic that represents the amount of dispersion in a date set.
Summary:
Measure of Central Tendency is also called as Measure of Average. It is a statistic that serves as a representative of a certain data. On the other hand, a Measure of Variability is also called as Measure of Dispersion. It is a statistics that defines the spread of the values in a certain data set.
A measure of central tendency is a quantitative representation of the investigation and examination of a certain data set.
It is a statistic that tends to represent the center point of the set of data. It has three common measures, the mean, median and the mode.
Mean:
- The mean describes the sample with a number that represents the center of a data set.
- The mean is also known as the “arithmetic average.”
- It is the most important and the most useful measure of central tendency.
Mode:
- The mode is the most repetitive number in a data set.
- You can find the mode by simply identifying which number in the data set has the most number of frequency.
Median:
- The median is the middle of the data set.
- It separates an ordered set (from the lowest number to the highest) of data into two equal parts.
Making Statistical Inferences Using Measures of Central Tendency and Variability Worksheets
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