50%. The second quartile is the median.
The upper quartile is the 75% point of the variable. That is, it is the point with 75% of the observations below it and 25% of the observations above it. The upper quartile is the upper 25% of the data.
The first quartile is the value such that a quarter of the data are smaller than that value and three quarters are larger. Since there are 8 observations, the quartile will be between the second and the third smallest values. Therefore, Q1 = (7+15)/2 = 11
Iqr stands for inter quartile range and it is used to find the middle of the quartiles in a set of data. To find this, you find the lower quartile range and the upper quartile range, and divide them both together.
The upper quartile is the value such that a quarter of the data are greater than that value. Similarly, the lower quartile is the value such that a quarter of the data are lower than that value.
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
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The upper quartile is the 75% point of the variable. That is, it is the point with 75% of the observations below it and 25% of the observations above it. The upper quartile is the upper 25% of the data.
median or middle
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.
No, interquartile range cannot be for any data. The lower quartile for data must be used below the lower quartile.
A number does not have a quartile, a set of data does. The lower quartile of a set of data set is a value, in the data set, such that a quarter of the date set are smaller and three quarters are larger. The upper quartile is defined similarly. The middle quartile, better known as the median, divides the data set in two.
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.
the upper quartile is the median of the upper half of a set of data. ;p
In a standard distribution, the first quartile (Q1) represents the 25th percentile of the data. This means that 25% of the data falls below Q1, and consequently, 75% of the data falls above Q1. Therefore, 75% of the data is above Q1.
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