the range influences the extreme
The range is infinite in both directions.
sqrt(x) Domain: {0,infinity) Range: {0,infinity) *note: the domain and range include the point zero.
The domain and the range depends on the context. For example, the domain and the range can be the whole of the complex field. Or I could define the domain as {-2, 1, 5} and then the range would be {0, 3, -21}. When either one of the range and domain is defined, the other is implied.
The answer depends on the domain. If the domain is the whole of the real numbers, the range in y ≥ 1. However, you can choose to have the domain as [1, 2] in which case the range will be [2, 5]. If you choose another domain you will get another range.
the interquartile range is not sensitive to outliers.
The interquartile range of a set of data is the difference between the upper quartile and lower quartile.
interquartile range or mean absolute deviation.
If presents you with the upper and lower quartile range, although you have to do calculations in order to find the interquartile range, so no, it does not,
The interquartile range is the upper quartile (75th percentile) minus (-) the lower percentile (75th percentile). The interquartile range uses 50% of the data. It is a measure of the "central tendency" just like the standard deviation. A small interquartile range means that most of the values lie close to each other.
interquartile range
Yes, it is.
how do you find the interquartile range of this data
On the standard deviation. It has no effect on the IQR.
Both are measures of spread or dispersion.
Range = maximum - minimum Interquartile range = Value of 75th percentile - value of 25th percentile. The 75th percentile is the value such that 25% of the observations are bigger and 75% are smaller.
The interquartile range is well known as a measure of statistical dispersion. It is equal to difference between upper and lower quartiles. The quartiles is a type of quantile.