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Which of three three measures of central tendency is most affected by extreme scores?
Wiki User
∙ 10y ago
Of the mean, median and mode the mean would be most affected.
Wiki User
∙ 10y ago
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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 measures of central location is affected most by extreme values?
The mean is most affected. Mode and Median are not influenced as much by outliers.
When is the mean used as a measure of central tendency?
When there aren't extreme values (outliers)
What are the characteristics of a good measure of central tendency?
Properties of a good measure of central tendency are:-It should be rigidly defined.It should include all observations.it should be simple to understand and easy to calculate.it should be capable of further mathematical treatment.It should be least affected by extreme observations.it should possess sampling stability.
What is a good measure of central tendency if a data set contains extreme values that may be the result of incorrect measurement?
The median.
Which of three three measures of central tendency is most affected by extreme scores.?
mean
What is the measure of central tendency that is least affected by extreme values?
the variance
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 measures of central location is affected most by extreme values?
The mean is most affected. Mode and Median are not influenced as much by outliers.
Importance of measures of central tendency?
Measures of the general value are a common need. Average, Median, and Mode are the three commonest.Average is the arithmetic average of all the values.Median is the actual measurement which is midwaybetween the extreme values, and is often closest to the average.Mode is the commonest value.Other indicators of central tendency, may ignore all value beyond say, three standard deviations, and thus ignore the contribution by the extreme, and uncommon, values.
When is the mean used as a measure of central tendency?
When there aren't extreme values (outliers)
What are the characteristics of a good measure of central tendency?
Properties of a good measure of central tendency are:-It should be rigidly defined.It should include all observations.it should be simple to understand and easy to calculate.it should be capable of further mathematical treatment.It should be least affected by extreme observations.it should possess sampling stability.
What is a good measure of central tendency if a data set contains extreme values that may be the result of incorrect measurement?
The median.
What is the appropriate measure of central tendency for age?
The appropriate measure of central tendency for age is the median. This is because age is a continuous variable and can have outliers or extreme values, which can skew the mean. The median provides a more robust estimate of the center of the distribution.
What is an advantage to using the median when examining a set of data?
The median or mode should be used instead of the mean in distributions with extreme outliers. In such cases, the mean can be a misleading measure of central tendency and the median value or the mode value are typically more accurate measures.
What is the duration of Extreme Measures?
The duration of Extreme Measures is 1.97 hours.
Why are there three measures of Central Tendency What if anything makes one better than the others?
Answer with an exampleIf you have a data series like: 1,2,2,3 What is the mean, median and mode of this thing:Mean= 2Median = 2Mode = 2Now if you have 1,2,2,3,1000Then we gotta have three measures asMode remains = 2Median shifts slightly toward threeMean becomes 201.6So you can see that three measures are required to capture the tendency of a data set in a more complete fashion.Although the mean does have this problem of being distorted by outliers (extreme values), it is the best measure of central tendency if more sophisticated analyses are required. This is because the properties of the mean, itself, are better understood. This means there is a wide range of powerful statistical techniques that can be applied to data using the mean.
