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What happens when there is no median in a set?
There's is always going to be a median. Never is there not going to be a median.
Are the mean median and mode always numbers from a list of data?
the median and mode are but the mean is not
Characteristics of mean median mode range variance standard deviation mean absolute deviation?
characteristics of mean
How do you get the median with an odd amount of numbers?
It is easy to get a median with an odd amount of numbers, as there will always be one number in the middle of the list. So, for example, if you have 7 numbers, n1, n2, n3, n4, n5, n6, n7, the 4th number is always the median, so n4 would be the median value in this case.
For a given data set the mean and median are always nearly equal?
No.
What are the characteristics of mean as a measure of central tendency?
One of the characteristics of mean when measuring central tendency is that when there are positively skewed distributions, the mean is always greater than the median. Another characteristic is that when there are negatively skewed distributions, the mean is always less than the median.
What happens when there is no median in a set?
There's is always going to be a median. Never is there not going to be a median.
Are the mean median and mode always numbers from a list of data?
the median and mode are but the mean is not
Characteristics of mean median mode range variance standard deviation mean absolute deviation?
characteristics of mean
Are median and mean always similar?
No, not always. Median is the number that's in the middle of a group of numerical data. Mean is just the average of a set of numbers, which isn't always in the middle.
Is a median always has a midpoint as an endpoint?
Yes.
Will a set of data always have a median?
yes
The three characteristics that describe a set of numerical data are?
mode, mean and median
Does the median have to be a number?
Yes, the median is always a number. For qualitative data, use the mode for a measure of center.
What are disadvantages of median?
One disadvantage of using the median is that it may not accurately represent the entire dataset if there are extreme outliers present, as the median is not influenced by the magnitude of these outliers. Additionally, the median may not be as intuitive to interpret as the mean for some individuals, as it does not provide a direct measure of the total value of the dataset. Finally, calculating the median can be more computationally intensive compared to other measures of central tendency, especially with large datasets.
The median of a trapezoid is always parallel to the bases?
FALSE
Is the median of a trapezoid always parallel to the base?
FALSE
