What is semi quartile in statistics?

The semi-interquartile range is half of the difference between the upper quartile and the lower quartile. In the previous example, the quartiles were Q 1 = 4 and Q 3 = 11 . The semi-interquartile range is: 1 2 ( Q 3 − Q 1 )

What does semi interquartile range mean?

Briefly, the semi-interquartile range is a measure of the dispersion or spread of a variable; it is the distance between the 1st quartile and the 3rd quartile, halved. It is common to describe a variable using a measure of central tendency, or average, most commonly the mean or median.

Why is quartile deviation also known as semi interquartile range?

Quartile deviation is called semi-inter quartile range because it is half of the inter -quartile range.

How do you find the semi quartile?

How to Calculate the Semi Interquartile Range / Quartile Deviation. As the SIR is half of the Interquartile Range, all you need to do is find the IQR and then divide your answer by 2. Note: You might see the formula QD = 1/2(Q3 – Q1). Algebraically they are the same.

How do you calculate Midhinge?

Calculation of the Midhinge The following is the formula for the midhinge: (Q 1 + Q 3) / 2. In words we would say that the midhinge is the mean of the first and third quartiles.

What is difference between range and quartile deviation?

Semi-Interquartile range or Quartile deviation The measure of dispersion depending upon the lower and upper quartiles is known as the quartile deviation. The difference between the upper and lower quartile is known as the Interquartile range.

What quartile means?

A quartile is a statistical term that describes a division of observations into four defined intervals based on the values of the data and how they compare to the entire set of observations.

What is the difference between interquartile range and semi interquartile range?

The interquartile range is the difference between upper and lower quartiles. The semi-interquartile range is half the interquartile range.

What is a midhinge used for?

The midhinge carries information about the first and third quartiles, and so there are a couple of applications of this quantity. The first use of the midhinge is that if we know this number and the interquartile range we can recover the values of the first and third quartiles without much difficulty.

When should I use Trimean?

TRIMMEAN calculates the mean taken by excluding a percentage of data points from the top and bottom tails of a data set. You can use this function when you wish to exclude outlying data from your analysis.