When all values in a dataset are different, there is no mode, as the mode is defined as the value that appears most frequently. Since each value occurs only once, no single value meets the criteria for being the mode. In this case, the dataset is considered to be "uniform" with respect to frequency.
If all the members of a set are different values, there is no mode.
When all values in a data set are different, there is no mode, as no number appears more frequently than others. Similarly, if all values have the same frequency, there is also no mode since no single value dominates in occurrence. In both cases, the data set is considered to be multimodal or has no mode at all.
The mean, median, and mode are all measures of central tendency. For symmetrical distributions they all have the same value. For assymetrical distributions they have different values. The mean is the average and the mode is the most likely value.
A mean is an average (add up all the values and divide by the number of values). The mode is the most frequently appearing value.
You cannot. You have two choices - neither of which are particularly enlightening: If there are other values that could have appeared but did not, then each one of the observed values is a mode (they appeared more often than the ones that had zero appearances); or If there were no such vales, you have no modes.
If all the members of a set are different values, there is no mode.
When all values in a data set are different, there is no mode, as no number appears more frequently than others. Similarly, if all values have the same frequency, there is also no mode since no single value dominates in occurrence. In both cases, the data set is considered to be multimodal or has no mode at all.
There is no mode if all of the numbers are different.
The mean, median, and mode are all measures of central tendency. For symmetrical distributions they all have the same value. For assymetrical distributions they have different values. The mean is the average and the mode is the most likely value.
A mean is an average (add up all the values and divide by the number of values). The mode is the most frequently appearing value.
You cannot. You have two choices - neither of which are particularly enlightening: If there are other values that could have appeared but did not, then each one of the observed values is a mode (they appeared more often than the ones that had zero appearances); or If there were no such vales, you have no modes.
I wouldn't, I would just say that there is no unique mode. While it is true that if all numbers have a frequency of 1 then every value is the mode, however this provides no analytical insight and thus it is pointless to say that all values are the mode. However it would be wise to note that if there is no mode then there is a uniform distribution which would indicate that all values are equally likely.
No, they need not.
Yes.But only if the mode exists.If all the values in the dataset appear the same number of times there is no mode.
All three numbers are the mode.
well they are all the mode then. however if thaat is the case then it makes the mode an irrelevant piece of data.
Mean = average formed by adding values together and dividing by the total number of values Mode = the most popular value Median = line up all values in order and take the middle value