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Introduction To Measures of Central Tendency and Variability
The topic of central tendency is a part of the chapter of probability distribution and it denotes the central value of a distribution. Basically, you can say that the central tendency is simply the middle value or average in a probability distribution. The central tendency is categorized into three simple terms which are Mean, Median & Mode.
The Mode: It means a value that is in the highest frequency, repetition or in percentage in a certain distribution. A distribution with more than one mode is called bimodal and more than two modes will be known as multi-modal. A distribution in which no clear mode could be identified is known as uniform distribution.
The Median: It is the number which is exactly in the middle and it divides a distribution exactly in half.
The Mean: The average value of a probability distribution is called the mean and it is used with the interval/ratio variables.
Some of the important subtopics related to Central Tendency and Variability and you can get solutions for assignments on these by using our Statistics and probability assignment help.
- Positively skewed distribution
- Arithmetic mean
- Geometric mean
- Quartiles and the Interquartile Range
- Harmonic mean
- The Range
- Weighted arithmetic mean
- Tukey median
- Truncated mean or trimmed mean
- Simplicial depth
- Interquartile mean
- Quadratic mean or root mean square
- Geometric median
- Winsorized mean
- Negatively skewed distribution
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