Table of Contents
- 1 Do extreme values affect the mode?
- 2 Which is affected by extreme values?
- 3 What effect do outliers have on the mode?
- 4 How do extreme observations affect the shape of any distribution?
- 5 Which of the following measures of location is affected most by extreme values?
- 6 Which is least affected by extreme values?
Do extreme values affect the mode?
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 mode resistant to extreme values?
The mode is the value that occurs most frequently in a dataset and hence is not affected by the presence of extreme values. The median is the middle…
Which is affected by extreme values?
Arithmetic mean is most affected by extreme (minimum and maximum) items of the data.
Is the mean median or mode more affected by extreme values?
Incase of even numbers, it depends on the average of two middle values given by (n + 1) / 2 and (n + 2) / 2 terms. Mode depends only on the values which are occurring for the maximum number of times. Thus, the mean will typically be strongly influenced by extreme values than the median.
What effect do outliers have on the mode?
Outliers affect the mean value of the data but have little effect on the median or mode of a given set of data.
How does changing the maximum value affect the range?
The range of a data set depends on the number of data, not the specific values. Therefore, the range does not vary by changing the maximum value.
How do extreme observations affect the shape of any distribution?
Likewise, the distribution below is skewed to the left. Extreme values in the lower portion of the distribution pull the mean to the left, while the median resists the impact of the extreme values.
Which 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 of the following measures of location is affected most by extreme values?
Since the mean involves every point in the data set in its calculation, it becomes the measure of central tendency most susceptible to outliers or…
Why mean is affected by extreme values?
As we can see, the mean doesn’t get affected much if we change the extreme values. The reason for this is that mean is based on addition of each value and each value in the data set has an equal effect on the Mean. So, the correct answer is “Option C”. Note: The extreme values of a data set don’t affect Mean much.
Which 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.