Median. The reason: It disregards the highest and lowest times.
the center of measure is mean mode median and range
The mode.
Mean, Median, and Mode
The MODE.
Median. The reason: It disregards the highest and lowest times.
Range is a measure of variation; mode is a measure of center. Range will tell you how much the data vary, mode does not tell you how much the data vary.
the center of measure is mean mode median and range
The arithmatic mean is not a best measure for central tendency.. It is because any outliers in the dataset would affect its value thus it is considered not a robust measure.. The mode or median however would be better to measure central tendency since outliers wont affect it value.. Consider this example : Arithmatic mean dan mode from 1, 5, 5, 9 is 5.. If we add 30 to the dataset then the arithmatic mean will be 10 but the mode will still same.. Mode is more robust than arithmatic mean..
never * * * * * When the data are qualitative. The mean and median are unusable in such cases and the mode is the only sensible measure.
The mode is the observation that features most often.
There is no mode so it is not a measure of anything! Te data set contains an outlier: 996 and so the median is a better measure of the centre than the mean.
The answer will depend on the nature of the data.If the data are qualitative then the only option is the mode.If they are ordinal then you have a choice between the mode and median. The mode may be a better measure when the data are very skewed. Otherwise the median is usually better.For any higher level of measurement is is also possible to calculate the mean. In such cases the median or mean are better. For very skew distributions the median is better but otherwise is should be the mean.
Of course, Depeche Mode.
which measure best describes the data set
Each number is a mode. You have a multimodal distribution and the mode is a useless measure is such cases.
The mode.