- Which measure of central tendency is least affected by extreme values?
- What measure of central tendency gives the value with the highest frequency?
- Why is the median resistant but the mean is not?
- Which measures of central tendency are the most resistant to extreme values outliers?
- Is range affected by extreme values?
- Why is the mean sensitive to extreme scores?
- Is mode affected by extreme values?
- Is Mean Deviation affected by extreme values?
- Which measure of center is not resistant to extreme values?
- What is least affected by extreme values?
- Which of the following is affected by extreme values?
- Which of the following measure is affected by extreme values?
- What measure of spread is most sensitive to extreme values?
- Which of the following is not affected by extreme values?

## Which measure of central tendency is least affected by extreme values?

When there are extreme numbers in the data set (very low or very high numbers), the median is a good choice for a measure of central tendency.

The extreme numbers have less effect (or no effect at all) on the median..

## What measure of central tendency gives the value with the highest frequency?

modeFrequently asked questions about central tendency The mode is the most frequent value. The median is the middle number in an ordered data set.

## Why is the median resistant but the mean is not?

Why is the median resistant, but the mean is not? The mean is not resistant because when data are skewed, there are extreme values in the tail, which tend to pull the mean in the direction of the tail.

## Which measures of central tendency are the most resistant to extreme values outliers?

medianThe median is resistant to extreme values, while the mean is not. Measures of dispersion describe the spread in the data. The range is the difference between the highest and lowest data values. The standard deviation is based on the average squared deviation about the mean.

## Is range affected by extreme values?

The range is the difference between the high and low values. Since it uses only the extreme values, it is greatly affected by extreme values. The variance is the average squared deviation from the mean.

## Why is the mean sensitive to extreme scores?

The mean is sensitive to extreme scores when population samples are small. For example, for a class of 20 students, if there were two students who scored well above the others, the mean will be skewed higher than the rest of the scores might indicate. Means are better used with larger sample sizes.

## Is mode affected by extreme values?

The mode is not affected by extreme values. The mode is easy to identify in a data set and in a discrete frequency distribution.

## Is Mean Deviation affected by extreme values?

It is not much affected by extreme values. For calculating mean deviation, deviations can be taken from any average.

## Which measure of center is not resistant to extreme values?

medianThe median does not have to be one of the data values. The median does not use all of the data values, only the one(s) in the middle. The median is resistant to change, it is not affected by extreme values.

## What is least affected by extreme values?

Property of Median: Median is the value that divides the data set in exactly two parts. One of the advantages of median is that it is not effected by the outliers. It is a position based statistic.

## Which of the following is affected by extreme values?

Arithmetic mean is most affected by extreme (minimum and maximum) items of the data.

## Which of the following measure is affected by extreme values?

Arithmetic meanArithmetic mean refers to the average amount in a given group of data. It is defined as the summation of all the observation in the data which is divided by the number of observations in the data. Therefore, mean is affected by the extreme values because it includes all the data in a series. Was this answer helpful?

## What measure of spread is most sensitive to extreme values?

The range is the difference between the largest and the smallest observation in the data. The prime advantage of this measure of dispersion is that it is easy to calculate. On the other hand, it has lot of disadvantages. It is very sensitive to outliers and does not use all the observations in a data set.

## Which of the following is not affected by extreme values?

Median is the middle most value of a given series that represents the whole class of the series.So since it is a positional average, it is calculated by observation of a series and not through the extreme values of the series which. Therefore, median is not affected by the extreme values of a series.