Why mode is not good measure of central tendency?

When to use the mode For continuous variables or ratio levels of measurement, the mode may not be a helpful measure of central tendency. That’s because there are many more possible values than there are in a nominal or ordinal level of measurement. It’s unlikely for a value to repeat in a ratio level of measurement.

Why is the mode not used?

Some data sets do not have a mode because each value occurs only once. On the other hand, some data sets can have more than one mode. This happens when the data set has two or more values of equal frequency which is greater than that of any other value.

Is the mode a good measure of central tendency for the variable?

The mean, median and mode are all valid measures of central tendency, but under different conditions, some measures of central tendency become more appropriate to use than others.

What are the advantages and disadvantages of mode?

Advantages and Disadvantages of Mode

• It is easy to understand and simple to calculate.
• It is not affected by extremely large or small values.
• It can be located just by inspection in ungrouped data and discrete frequency distribution.
• It can be useful for qualitative data.

Why is mode a measure of central tendency?

The mode is the measure of central tendency that identifies the category or score that occurs the most frequently within the distribution of data. In other words, it is the most common score or the score that appears the highest number of times in a distribution.

Is not a measure of central tendency?

Standard deviation is a measure of dispersion, not measure of central tendency. This option is the correct answer.

What is a valid reason the mode is the only appropriate measure of central tendency to use with data measured on a nominal scale?

What is a valid reason why the mode is the only appropriate measure of central tendency to use with data measured on a nominal scale? In a nominal scale the categories are not numbers on which calculations can be performed.

Which is better mean median or mode?

For data from skewed distributions, the median is better than the mean because it isn’t influenced by extremely large values. The mode is the only measure you can use for nominal or categorical data that can’t be ordered.

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

Median

Median is the least affected measure of central tendency by the extreme observations, whereas mean is the most affected measure of central tendency by the extreme observations.

What are the characteristics of good measure of central tendency?

They are:

• Average is the easiest method to calculate.
• It should be rigidly defined. …
• It should be representative of the entire series. …
• It should have capable of further algebraic treatment. …
• It should not be affected by the extreme values of the observation or series.

How do you determine the best measure of central tendency?

Mean is the most frequently used measure of central tendency and generally considered the best measure of it. However, there are some situations where either median or mode are preferred. Median is the preferred measure of central tendency when: There are a few extreme scores in the distribution of the data.

What are the uses of mode?

Mode is most useful as a measure of central tendency when examining categorical data, such as models of cars or flavors of soda, for which a mathematical average median value based on ordering can not be calculated.

What are different measures of central tendency?

There are three main measures of central tendency: the mode, the median and the mean. Each of these measures describes a different indication of the typical or central value in the distribution.

When would the mode be the most effective way to describe a distribution?

When is the mode the best measure of central tendency? The mode is the least used of the measures of central tendency and can only be used when dealing with nominal data. For this reason, the mode will be the best measure of central tendency (as it is the only one appropriate to use) when dealing with nominal data.

Which measure of central tendency better describes hours worked?

The median is the better measure of central tendency.

Why do mean median and mode useful in interpreting the performance of the students?

The mode, median, and mean are measures of central tendency and they provide meaningful information to the teacher when used correctly. Each of the statistics is a good measure of central tendency in certain situations and a bad measure in others.

What are the more appropriate measures of center and spread for this data set?

If the distribution is symmetric then the mean can be used to find the center. When it is skewed right or left with high or low outliers then the median is better to use to find the center. The best measure of spread when the median is the center is the IQR.

Which of the following would be the best measures of center and spread?

If the shape is skewed to the right or left with outliers, then the median should be used to find the center and the best measure of spread when the median is the center is use IQR. If the shape is unsymmetrical in distribution, then median and IQR are used.

What is the appropriate measure of variation spread for these data?

The most common measure of variation, or spread, is the standard deviation. The standard deviation is a number that measures how far data values are from their mean.