Inter-quartile range, other percentile ranges, mean absolute variation, variance, standard error, standard deviation are all possible measures.
It means either that your horizontal scale is too small or that the Inter-Quartile Range (IQR) is small. A small IQR is an indication of relatively small variation between observations.
If a set of data are ordered by size, then the lower quartile is a value such that a quarter of the data are smaller than it. The upper quartile is a value such that a quarter of the data are larger than it. Interquartile means between the quartiles.
You could tell whether or not the data were skewed but that is all. You could make no assessment about the central tendency (mean) or spread (range, inter-quartile range).
No. The IQR is found by finding the lower quartile, then the upper quartile. You then minus the lower quartile value from the upper quartile value (hence "interquartile"). This gives you the IQR.
The interquartile range (IQR) is a measure of variability, based on dividing a data set into quartiles. Quartiles divide a rank-ordered data set into four equal parts.
It is not possible to answer without any information on the spread (range, inter-quartile range, mean absolute deviation, standard deviation or variance).
When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.
Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.
There are many:Range,Inter-quartile range,Percentile rangesMean absolute deviation from the mean or medianVarianceStandard deviationStandardised deviation
By definition a quarter of the observations are below the lower quartile and a quarter are above the upper quartile. In all, therefore, half the observations lie outside the interquartile range. Many of these will be more than the inter-quartile range (IQR) away from the median (or mean) and they cannot all be outliers. So you take a larger multiple (1.5 times) of the interquartile range as the boudary for outliers.
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It stands for the Inter-Quartile Range. Given a set of observations, put them in ascending order. The lower quartile (Q1) is the observation such that a quarter of the observations are smaller (and three quarters are at least as large). The upper quartile (Q3) is the observation such that a quarter are larger. [The middle one (Q2) is the median.] Then IQR = Q3 - Q1
The range, inter-quartile range (IQR), mean absolute deviation [from the mean], variance and standard deviation are some of the many measures of variability.
You make comparisons between their mean or median, their spread - as measured bu the inter-quartile range or standard deviation, their skewness, the underlying distributions.
It means the bottom quarter, or bottom 25%
Inter-quartile range, other percentile ranges, mean absolute variation, variance, standard error, standard deviation are all possible measures.