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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.   

  • Percentile
  • Positively skewed distribution
  • Arithmetic mean
  • Boxplots
  • 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
  • Midrange
  • Geometric median
  • Midhinge
  • Winsorized mean
  • Trimean
  • Negatively skewed distribution
  • Boxplots

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