Certainly, if some of the data is negative
The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.
Median
it is the median
13,16,12,14,19,12,14,13,14
S={1,2,4,5,7}, the median is 4
The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.The median must be at least as great as the first quartile in any data set. Normally it would be greater.
The median in a set of data, would be the middle item of the data string... such as: 1,2,3,4,5,6,7 the Median of this set of data would be: 4
The answer depends on the type of data. The mean or median are useless if the data are qualitative (categoric): only the mode is any use. The median is better than the mean is the data are very skewed.
The median, by definition, tells you the "half way point" of your data. Exactly half of the observations in the dataset will be less than the median and half will be greater than the median.
No, they must have a median. However, if the data set is of even order, the median may not belong to the data set. For example, the median of 1,2,3,10 is halfway between 2 and 3 or 2.5 which is not a data point.
Median
Median .
The median is used when reporting ordinal data.
No, not all data sets have a mode but all data sets have a mean and median.
The median is the midpoint of the data set. So half the observations are greater than the median and half are smaller.
I will rephrase the problem- Are there situations where we would expect the median value to be zero or close to zero? In quality control cases, the important attribute is the error, which are the measurement minus the specified condition. In these cases, where there are minor errors, it is likely that the median will be zero, particularly if my quality control is good. For example, suppose I must keep a water vessel exactly at 50 degrees and I have an electronic readout of temperature. If the vessel goes below 50, I turn up the heat, and above 50, I turn the heat down. The median of the errors is likely to be close to zero. Also, if I take a large set of data that's fairly random in nature (let's say 100 measured heights of people), calculate the average of all values, then create new values by subtracting from each value the average of the data, the new values will likely have median close to zero.
If the data are quantitative they must have a median. If there is no median it is only because the data are qualitative and, in that case, a box and whiskers plot is meaningless.