what is the interquartile range of 16,17,19,22,23,25,27,36,38,40,40,45,46
the range influences the extreme
The range is infinite in both directions.
The optimum range refers to the ideal conditions under which a species thrives best, including factors like temperature, light, and nutrients. In contrast, the range of tolerance encompasses the broader spectrum of conditions within which a species can survive, though not necessarily thrive. While the optimum range represents peak performance, the range of tolerance includes both the optimal conditions and the limits that can support minimal survival. Consequently, the optimum range is a subset of the broader range of tolerance.
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 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.
On the standard deviation. It has no effect on the IQR.
how do you find the interquartile range of this data
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 semi interquartile range is a measure for spread or dispersion. To find it you have to subtract the first quartile from Q3 and divide that by 2, (Q3 - Q1)/2