- Why is the mean affected by extreme values?
- What makes the range less desirable?
- How do you tell if a standard deviation is high or low?
- What is resistant to extreme values?
- Is the median resistant to extreme values?
- Why is the median resistant but the mean is not?
- What is not affected by extreme values?
- Which is most resistant to outliers?
- Which of the following is least affected by an outlier?
- How do you know if the mean or median is better?
- What are all the values that standard deviation can take?
- Why is the median resistant but the mean is not quizlet?
- What does it mean if the standard deviation is higher than the mean?
- What does the standard deviation tell us?
- Is the standard deviation resistant to outliers?
- Which measure of variation is not affected by extreme values?
- Is Range resistant or Nonresistant?
- Which measure of central tendency is resistant?

## Why is the mean affected by extreme values?

One extreme value is still only one value, so it cannot affect the mean very much.

An extreme value cannot affect the mean if it is close to the mean.

Since all values are summed, any extreme value can influence the mean to a large extent..

## What makes the range less desirable?

A larger standard deviation means that observations are more distant from the typical value and therefore more dispersed. … What makes the range less desirable than the standard deviation as a measure of dispersion? The range does not use all the observations.

## How do you tell if a standard deviation is high or low?

Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out. A standard deviation close to zero indicates that data points are close to the mean, whereas a high or low standard deviation indicates data points are respectively above or below the mean.

## What is resistant to extreme values?

The median is resistant to extreme values, while the mean is not. … The mean and standard deviation are used in many types of statistical inference. The mean, median, and mode can be approximated from grouped data.

## Is the median resistant to extreme values?

The median is resistant to change, it is not affected by extreme values.

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

The median is resistant because it is only based on the middle one or two observations of the ordered list. The mean is sensitive to the influence of a few extreme observations. Even if there are no outliers a skewed distribution will pull the mean toward the long tail.

## What is not affected by extreme values?

Measures that are not that affected by extreme values are called resistant. Measures that are affected by extreme values are called sensitive.

## Which is most resistant to outliers?

medianUse median if the distribution has outliers because the median is resistant to outliers. measures of spread are range, IQR, and standard deviation. Use standard deviation anytime mean is used for the center (symmetric distribution). Use IQR anytime median is used for the center (skewed distribution).

## Which of the following is least affected by an outlier?

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.

## How do you know if the mean or median is better?

In these situations, the median is generally considered to be the best representative of the central location of the data. The more skewed the distribution, the greater the difference between the median and mean, and the greater emphasis should be placed on using the median as opposed to the mean.

## What are all the values that standard deviation can take?

Problem 2.22– What are the all the values that a standard deviation s can possibly take? (Variability, Variance s2, Standard Deviation s)c. -1~~1; the range for standard deviation is 1 and -1. The closer the standard deviation is to 1or -1, the closer the graph is to being a liner line and a more reliable equation.~~

~~Why is the median resistant but the mean is not quizlet?~~

~~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.~~

~~What does it mean if the standard deviation is higher than the mean?~~

~~A sample’s standard deviation that is of greater magnitude than its mean can indicate different things depending on the data you’re examining. … A smaller standard deviation indicates that more of the data is clustered about the mean. A larger one indicates the data are more spread out.~~

~~What does the standard deviation tell us?~~

~~Standard deviation tells you how spread out the data is. It is a measure of how far each observed value is from the mean. In any distribution, about 95% of values will be within 2 standard deviations of the mean.~~

~~Is the standard deviation resistant to outliers?~~

~~The IQR is a type of resistant measure. The second measure of spread or variation is called the standard deviation (SD). … The standard deviation is calculated using every observation in the data set. Consequently, it is called a sensitive measure because it will be influenced by outliers.~~

~~Which measure of variation is not affected by extreme values?~~

~~IQRLike the range, the IQR is a measure of variability, but you must find the quartiles in order to compute its value. The interquartile range is the difference between upper and lower quartiles and denoted as IQR. Note! The IQR is not affected by extreme values.~~

~~Is Range resistant or Nonresistant?~~

~~Nonresistant measures are affected by outliers/skewness, and hence are better for symmetric data. Resistant measures are not affected as much, and hence can be used for data that has outliers or is skewed….Overview.NonresistantResistantSpreadStandard DeviationIQR1 more row~~

~~Which measure of central tendency is resistant?~~

~~medianA statistic that is not affected by outliers is called resistant. We say that the median is a resistant measure of center, and the mean is not resistant. In a sense, the median is able to resist the pull of a far away value, but the mean is drawn to such values. It cannot resist the influence of outlier values.~~