Mode is one of the measures of central tendency that shows the value which is most repeated in the given set. To get a clear picture of the mode, we’ve discussed its properties, merits, and real-life examples.

What Are the Properties of Mode?

Below about properties of the mode:

  1. The mode is an average that is used to find the ideal size of the given data set.  
  2. Mode one of the informal measures of central tendency to compute.
  3. The value of mode can also be calculated graphically.
  4. The mode can be calculated even when it comes to open-end distribution and qualitative data.
  5. When the remarks in the data set are nominal or categorical, it is best to use.
  6. The value of mode is not always unique. Sometimes the set of data can have more than one mode. Sometimes there is no mode for the given data set.
  7. The value of mode is not affected by extreme values.
  8. The mode is not prone to algebraic manipulation. It’s not possible to combine modes of subgroups. 
  9. The value of the mode gets affected by sampling fluctuations. 

What Are the Merits of Mode?

  • Easy to calculate: The value of mode for the ungrouped data can be easily calculated. You just have to detect the value occurring most regularly in the given data set. 
  • Simple to understand: Almost everyone can easily understand the concept of the majority. And we know that mode is based on the majority concept which makes it simple to understand. 
  • Representative value: The value of mode acts as the best representative of data as it is a value around. Which there is a maximum concentration of observations.
  • Not affected by extreme values: The value of mode is not affected by the value of extreme items in the given data set. There is no complication in calculating mode even if these extreme values are not known.
  • Can be used for both quantitative and qualitative observations: The value of mode is used to represent both quantitative and qualitative observations. For example, if a firm wants to measure the taste and preference of customers for a specific brand then mode can be used to find the same.
  • Can be determined graphically: The value of mode can be found out using Histogram. 
  • Complete data is not required: The value of mode can also be calculated for open-ended frequency distribution. To find mode, the maximum concentration of frequencies is to be observed. There is no need to know all values mentioned in the data set.

What Are the Real-Life Examples of Mode? 

Following given are some real-life examples of mode:

  1. Some business units want to calculate the mode of their current customers to know the age of people. who most commonly buy their products. So that they can know to which age group they need to shift their marketing efforts. 
  2. Real estate agents want to calculate the mode of the number of rooms in the house located in a particular area so that they can inform their customers about the number of rooms which can be expected by the customers in a house at the mentioned location. 
  3. The marketing team wants to calculate the mode of the type of advertisements (newspaper, T.V., Social media, radio) used to attract the customers so that they can know which type of advertisement is most used by the company.

Bottom Line

Cuemath was founded in 2013 to provide an after-school math and reasoning program that focuses on developing math skills in the students. Teachers here offer cues based on the concept to provide logical understanding about the concepts such as median formula to the students.