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When there are no outliers in a data set, the mean is typically the best measure of central tendency. This is because the mean takes into account all values in the data set, providing a comprehensive average. It reflects the overall distribution of the data more accurately when the values are evenly spread without extreme variations. In such cases, the median and mode may not provide as much insight into the data's overall behavior.
What else can I help you with?
Which measure of central tendency works best when you have an outlier?
The median, as long as you don't want to do any serious statistical testing.
What measure of central tendency is best for nonnumerical data?
The mode.
What is the best measure of center and measure of variation (spread) to use with a data set that has an outlier?
When a data set has an outlier, the best measure of center to use is the median, as it is less affected by extreme values compared to the mean. For measure of variation (spread), the interquartile range (IQR) is preferable, since it focuses on the middle 50% of the data and is also resistant to outliers. Together, these measures provide a more accurate representation of the data's central tendency and variability.
Is the best measure of central tendency always the mean?
Its the one most commonly used but outliers can seriously distort the mean.
What is the best measure of central tendency?
There is no universal best. The mode is sometimes mentioned as a measure of central tendency but it is not really one. For example, if studying rolls of a die, the mode has nothing whatsoever to do with central tendency. However, it is the only summary measure that makes sense when the observed variable is nominal or categoric. For example, if the data are about the colours of cars, the mean or median colour makes no sense. The mean and median have advantages over the other in different circumstances. The Central Limit Theorem and Normal approximation favour the mean but the unrestricted mean is vulnerable to outliers.
Which measure of central tendency best describes the data set wit an outlier?
The median.
Which measure of central tendency works best when you have an outlier?
The median, as long as you don't want to do any serious statistical testing.
Which measure of central tendency best describes the data set without an outlier?
The mean may be a good measure but not if the data distribution is very skewed.
Which measure of central tendency best represents data?
Median
What measure of central tendency best represents the data?
mean
What measure of central tendency is best for nonnumerical data?
The mode.
Which is the best measure of central tendency and why?
you need to be more specific with your question!!
Which Measure Of Central Tendency Best Describes This Situation The Favorite Fruit Sold In The Cafeteria?
The mode.
Which measure of central tendency best describes each situation?
by getting the mean and multiply by the median
When is mode the best of measure of central tendency?
never * * * * * When the data are qualitative. The mean and median are unusable in such cases and the mode is the only sensible measure.
Is the best measure of central tendency always the mean?
Its the one most commonly used but outliers can seriously distort the mean.
What is the best measure of central tendency?
There is no universal best. The mode is sometimes mentioned as a measure of central tendency but it is not really one. For example, if studying rolls of a die, the mode has nothing whatsoever to do with central tendency. However, it is the only summary measure that makes sense when the observed variable is nominal or categoric. For example, if the data are about the colours of cars, the mean or median colour makes no sense. The mean and median have advantages over the other in different circumstances. The Central Limit Theorem and Normal approximation favour the mean but the unrestricted mean is vulnerable to outliers.
