0
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.
Still curious? Ask our experts.
Chat with our AI personalities
Ezra
Coach
JordanAdd your answer:
Earn +20 pts
What measure of central tendency applies to categorical variables?
mean
What is the most commonly used measure of central tendency?
The mean.
What is a common term used to mean a measure of central tendency?
The answer is outlier
When is the mean used as a measure of central tendency?
When there aren't extreme values (outliers)
The measure of central tendency that is most affected by a few large or small numbers is?
The mean is the measure of central tendency that is most affected by a few large or small numbers. The median is more robust for extreme values.
What is the difference between central tendency and average or mean?
The average or mean is one measure of central tendency. There are several.
What is the prime measure of central tendency is the?
Median
What measure of central tendency applies to categorical variables?
mean
What is the most commonly used measure of central tendency?
The mean.
What measure of central tendency best represents the data?
mean
When do you used the measure of central tendency?
Mean, Median, and Mode
Which measure of central tendency is robust when outliers are present?
mean
What is Three measure of central tendency?
The popular two ones are the mean and median. Often mode is included in the list even though it is not a measure of central tendency.
Which measure of central tendency mean mode median is used for IQ?
The mean.
What is a common term used to mean a measure of central tendency?
The answer is outlier
For which measure of central tendency will the sum of the deviations always be zero?
Mean
What is the appropriate measure of central tendency when evaluating the age of a group?
mean
