Quartile Deviation (QD)
The quartile deviation is half the difference between the upper and lower quartiles in a distribution. It is a measure of the spread through the middle half of a distribution. It can be useful because it is not influenced by extremely high or extremely low scores. Quartile Deviation is an ordinal statistic and is most often used in conjunction with the median.
why we calculating quartile deviation?
The standard normal distribution has a mean of 0 and a standard deviation of 1.
100 is the average IQ whatever your age. A variance of plus or minus 10 points is considered within expected deviation. 100 is the average IQ, but it does vary on age. An IQ of a 113 for an adult is above average, so this should be slightly better for someone younger. 140 (Standard deviation of 20) or above is considered eligible for MENSA.
There is an angle of about 66.5Â° between the plane of the earth's orbit of the sun and the earth's axis of rotation. Given a default expected angle of 90Â° for natural satellites in general, the deviation is about 23.5Â°.
Commercial FM broadcasting carries 'baseband' information (modulating frequencies) up to about 70 KHz, has a peak deviation of 75 KHz, and can occupy a bandwidth of up to 300 KHz. Channels in the FM broadcast band are spaced on 200 KHz centers. "Narrow band" FM limits the modulating frequency to voice ... 4 KHz or less ... and uses a smaller peak deviation and modulation index. It occupies a bandwidth of 10 KHz or less. Channels for analog mobile NBFM are spaced on 12.5 KHz centers.
A simple implementation of FM where no "up conversion" and complex modulation circuitry is needed. One approach is to use a voltage controlled oscillator (VCO) set at a certain frequency by the appropriate voltage level. The desired signal to be transimitted is put on this voltage level which causes the VCO to deviate. This deviation is now classified as freqency modulation.
What is coefficient of quartile deviation?
advantages of quartile deviation
mean deviation =(4/5)quartile deviation
What is mean deviation and why is quartile deviation better than mean deviation?
In a data sample, the purpose of quartile deviation is a way to measure data dispersion instead of using the range. The quartile deviation is found by subtracting the lower quartile from the upper quartile, and dividing this result by two.
coefficient of quartile deviation: (Q3-Q1)/(Q3+Q1)
coefficient of quartile deviation is = (q3-q1)/(q3+q1)
The quartile deviation(QD) is half the difference between the highest and lower quartile in a distribution.
* * 4-22