What is quartile in statistics
What is quartile in statistics

"What is quartile in statistics" explains what is quartile with example٫  quartile in statistics example٫ quartile formula in statistics٫ quartile definition and example٫ quartile deviation.

What Is Quartile In Statistics

A  simple quartile definition and example 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.
When we talk about data science or statistical analysis, we often use a term called “quartiles”. Quartiles are the lower and upper limit of our data points. The idea is simple: we measure the extent to which our data points fall within certain ranges.

There are three quartile values—a lower quartile, median, and upper quartile—to divide the data set into four ranges, each containing 25% of the data points. The lower quartile, or first quartile, is denoted as Q1 and is the middle number that falls between the smallest value of the dataset and the median. The second quartile, Q2, is also the median. The upper or third quartile, denoted as Q3, is the central point that lies between the median and the highest number of the distribution.

Quartile in statistics Examples.

An example would be how much time we have within 30 minutes or a day, how much extra sleep do you need? We generally assign values between 0 and 100 where the range we are using is over the highest threshold. How many times could you get if we only had 1 hour of sleep at night?

Now we will discuss quartile formula in statistics.

Q = L + h/f( n/4 - c)
where L is lower class boundary.
h = class interval.
n = sample size
c = previous frequency of selected class.

 
The Quartile Deviation is mathematically as half of the difference between the upper and lower quartile. Here, quartile deviation can be represented as QD; Q3 denotes the upper quartile and Q1 indicates the lower quartile. Quartile Deviation is also defined as the Semi Interquartile range.