coefficient of quartile deviation is = (q3-q1)/(q3+q1)
(q3-q1)/2
The semi interquartile range is a measure for spread or dispersion. To find it you have to subtract the first quartile from Q3 and divide that by 2, (Q3 - Q1)/2
The distance between 67.8 and 70.8 on a box plot is known as the interquartile range (IQR). It is calculated as the difference between the third quartile (Q3) and the first quartile (Q1), which represent the limits of the box in the box plot.
The data is divided into four equal parts by quartiles. The first quartile (Q1) marks the 25th percentile, the second quartile (Q2) is the median or 50th percentile, and the third quartile (Q3) represents the 75th percentile. These quartiles help to understand the distribution of the data by segmenting it into four intervals, each containing approximately 25% of the observations.
coefficient of quartile deviation: (Q3-Q1)/(Q3+Q1)
first quartile (Q1) : Total number of term(N)/4 = Nth term third quartile (Q3): 3 x (N)/4th term
Step 1: Find the upper quartile, Q3.Step 2: Find the lower quartile: Q1.Step 3: Calculate IQR = Q3 - Q1.Step 1: Find the upper quartile, Q3.Step 2: Find the lower quartile: Q1.Step 3: Calculate IQR = Q3 - Q1.Step 1: Find the upper quartile, Q3.Step 2: Find the lower quartile: Q1.Step 3: Calculate IQR = Q3 - Q1.Step 1: Find the upper quartile, Q3.Step 2: Find the lower quartile: Q1.Step 3: Calculate IQR = Q3 - Q1.
coefficient of quartile deviation is = (q3-q1)/(q3+q1)
242 is the first quartile. 347 is the third quartile.
Q3-q1
(q3-q1)/2
6,6,9,5,8,9,6,7,8,8,6,5,5,6,8,5,7,7,8,6,5,9,10,14,5,8,5,8,10,10,7,7,7,8,6,6,7,5,7,8,8,5,6,6,7,7,7,6,6,9
(q3-q1)/2
A quartile divides a distribution into four equal parts, each containing 25% of the data. The first quartile (Q1) represents the value below which 25% of the data fall, the second quartile (Q2) is the median, and the third quartile (Q3) is the value below which 75% of the data fall.
The interquartile range (IQR) is a measure of statistical dispersion, or spread, that provides information about the middle 50% of a dataset. It is calculated as the difference between the third quartile (Q3) and the first quartile (Q1) and is useful for identifying outliers and understanding the variability of the data.
The semi interquartile range is a measure for spread or dispersion. To find it you have to subtract the first quartile from Q3 and divide that by 2, (Q3 - Q1)/2