Decile

In this article, we are going to delve into the exciting world of Decile and explore all its facets, from its impact on society to its applications in everyday life. Decile has always aroused people's interest and curiosity, since its influence has been significant over time. Along these lines, we will discover all the dimensions of Decile and analyze its relevance in different contexts. Without a doubt, this topic is of utmost importance and deserves our attention, so we will embark on a journey of discovery to better understand Decile and its role in today's world.

In descriptive statistics, a decile is any of the nine values that divide the sorted data into ten equal parts, so that each part represents 1/10 of the sample or population. A decile is one possible form of a quantile; others include the quartile and percentile. A decile rank arranges the data in order from lowest to highest and is done on a scale of one to ten where each successive number corresponds to an increase of 10 percentage points.

Special Usage: The decile mean

A moderately robust measure of central tendency - known as the decile mean - can be computed by making use of a sample's deciles to ( = 10th percentile, = 20th percentile and so on). It is calculated as follows:

Apart from serving as an alternative for the mean and the truncated mean, it also forms the basis for robust measures of skewness and kurtosis, and even a normality test.

See also

References

  1. ^ Lockhart, Robert S. (1998), Introduction to Statistics and Data Analysis: For the Behavioral Sciences, Macmillan, p. 78, ISBN 9780716729747.
  2. ^ Sheskin, David J. (2003), Handbook of Parametric and Nonparametric Statistical Procedures (3rd ed.), CRC Press, p. 10, ISBN 9781420036268.
  3. ^ Rana, Sohel; Siraj-Ud-Doulah, Md.; Midi, Habshah; Imon, A. H. M. Rahmatullah (2012). "Decile mean: A new robust measure of central tendency" (PDF). Chiang Mai Journal of Science. 39 (3): 478–485.
  4. ^ Siraj-Ud-Doulah, Md. (2021). "An Alternative Measures of Moments Skewness Kurtosis and JB Test of Normality". Journal of Statistical Theory and Applications. 20 (2): 219–227. doi:10.2991/jsta.d.210525.002.