Mean.
lower quartile
No, it is not possible for the median to be larger than the third quartile. The median, which represents the middle value of a dataset, divides the data into two equal halves, while the third quartile (Q3) marks the 75th percentile, indicating that 75% of the data falls below it. By definition, the median will always be less than or equal to the third quartile in a sorted dataset.
A quartile deviation from some specified value, is the value or values such that a quarter of the observed values fall between these values and the specified value. Usually, but not always, the specified value is the median - the value such that have the observed values are below (and above) it. In that case, one quartile values will have a quarter of the values below it and the other will have a quarter of the values above it. The quartile deviations will be the differences between median and the two quartiles just calculated.
Yes. The prefix "quart" is derived from the word for 4, so quartile always means splitting the data into 4 sections, ie. 25%, 50%, 75%, 100%.
The Interquartile Range (IQR) is a measure of statistical dispersion that represents the range between the first quartile (Q1) and the third quartile (Q3) of a dataset. A negative IQR would imply that Q1 is greater than Q3, which is not possible in a properly ordered dataset. This situation might indicate an error in data collection or processing, as quartiles should always follow the order Q1 ≤ Q3.
lower quartile
No, it is not possible for the median to be larger than the third quartile. The median, which represents the middle value of a dataset, divides the data into two equal halves, while the third quartile (Q3) marks the 75th percentile, indicating that 75% of the data falls below it. By definition, the median will always be less than or equal to the third quartile in a sorted dataset.
A quartile deviation from some specified value, is the value or values such that a quarter of the observed values fall between these values and the specified value. Usually, but not always, the specified value is the median - the value such that have the observed values are below (and above) it. In that case, one quartile values will have a quarter of the values below it and the other will have a quarter of the values above it. The quartile deviations will be the differences between median and the two quartiles just calculated.
Because the IQR excludes values which are lower than the lower quartile as well as the values in the upper quartile.
A percentile is always between 0% and 100%, never negative.
Yes. The prefix "quart" is derived from the word for 4, so quartile always means splitting the data into 4 sections, ie. 25%, 50%, 75%, 100%.
The Interquartile Range (IQR) is a measure of statistical dispersion that represents the range between the first quartile (Q1) and the third quartile (Q3) of a dataset. A negative IQR would imply that Q1 is greater than Q3, which is not possible in a properly ordered dataset. This situation might indicate an error in data collection or processing, as quartiles should always follow the order Q1 ≤ Q3.
No, the interquartile range (IQR) cannot be negative. The IQR is calculated as the difference between the third quartile (Q3) and the first quartile (Q1), which represents the spread of the middle 50% of a dataset. Since Q3 is always greater than or equal to Q1 in a sorted dataset, the IQR is always zero or positive.
angle with the greatest measure
For which measure of central tendency will the sum of the deviations always be zero?
no
The uniformity coefficient (Cu) of soil is a measure of the particle size distribution, defined as the ratio of the size of the 60th percentile of the grain size distribution to the size of the 10th percentile. For a well-graded soil, Cu is greater than 1, indicating a range of particle sizes, while a uniform soil with similar particle sizes will have a Cu value close to 1. Therefore, the statement that the uniformity coefficient of soil is always less than 1 is incorrect; it can be equal to 1 or greater than 1 depending on the soil's grading.