The mean, median, and mode are three metrics that are commonly used to describe the center of a dataset.
Here’s a quick definition of each metric:
- Mean: The average value in a dataset.
- Median: The middle value in a dataset.
- Mode: The most frequently occurring value(s) in a dataset.
Individuals and companies use these metrics all the time in different fields to gain a better understanding of datasets.
The following examples explain how the mean, median, and mode are used in different real life scenarios.
Example 1: Mean, Median, & Mode in Healthcare
The mean, median, and mode are widely used by insurance analysts and actuaries in the healthcare industry.
For example:
- Mean: Insurance analysts often calculate the mean age of the individuals they provide insurance for so they can know the average age of their customers.
- Median: Actuaries often calculate the median amount spend on healthcare each year by individuals so they can know how much insurance they need to be able to provide to individuals.
- Mode: Actuaries also calculate the mode of their customers (the most commonly occurring age) so they can know which age group uses their insurance the most.
Example 2: Mean, Median, & Mode in Real Estate
The mean, median, and mode are also used often by real estate agents.
For example:
- Mean: Real estate agents calculate the mean price of houses in a particular area so they can inform their clients of what they can expect to spend on a house.
- Median: Real estate agents also calculate the median price of houses to gain a better idea of the “typical” home price, since the median is less influenced by outliers (like multi-million dollar homes) compared to the mean.
- Mode: Real estate agents also calculate the mode of the number of bedrooms per house so they can inform their clients on how many bedrooms they can expect to have in houses in a particular area.
Example 3: Mean, Median, & Mode in Human Resources
The mean, median, and mode are often used by individuals who work in Human Resource departments at companies.
For example:
- Mean: Human Resource managers often calculate the mean salary of individuals in a certain field so that they can know what type of “average” salary to offer to new employees.
- Median: Human Resource managers also often calculate the median salary in certain fields so that they can be informed of what the typical “middle” salary is for a particular field.
- Mode: Human Resource managers also calculate the mode of different positions in the company so that they can be aware of the most common position of employees at their company.
Example 4: Mean, Median, & Mode in Marketing
The mean, median, and mode are often used by marketers to gain an understanding of how their advertisements perform.
For example:
- Mean: Marketers often calculate the mean revenue earned per advertisement so they can understand how much money their company is making on each ad.
- Median: Marketers also calculate the median revenue earned per advertisement so they can understand how well the median ad performs.
- Mode: Marketers also calculate the mode of the type of ad used (e.g. newspaper, TV, radio, digital) so they can know which type of ads their company uses most often.
Additional Resources
How Do Outliers Affect the Mean?
When to Use Mean vs. Median (With Examples)
How to Estimate the Mean and Median of Any Histogram
How to Find Mean, Median & Mode in Excel (With Examples)
thanks love u
example 1. Real estate agents calculate the mean price of houses so they can inform the clients.
example 2. The mean,median and mode is often used by marketers they often calculate.
plz 3 examples
Hi Hafsa…Here are three real-life examples that illustrate the use of mean, median, and mode:
### 1. **Mean in Salaries:**
– A company is evaluating the average salary of its employees. Suppose the salaries are \$30,000, \$35,000, \$40,000, \$45,000, and \$1,000,000 (for the CEO).
– **Mean**: The mean salary is calculated by adding all the salaries and dividing by the number of employees. This gives a skewed average due to the high CEO salary, but it’s useful for understanding the overall financial picture of the company.
\[
\text{Mean} = \frac{30,000 + 35,000 + 40,000 + 45,000 + 1,000,000}{5} = 230,000
\]
### 2. **Median in House Prices:**
– When real estate agents talk about the “median home price,” they are referring to the middle price of all homes sold. If five houses sold for \$100,000, \$200,000, \$300,000, \$400,000, and \$1,000,000, the median price is \$300,000.
– **Median**: It is not affected by extreme values, so it gives a more accurate representation of what a typical home might sell for.
\[
\text{Median} = 300,000
\]
### 3. **Mode in Fashion Sales:**
– A clothing store wants to stock more of the most popular sizes. If they sell 5 size small, 12 size medium, 7 size large, and 12 size extra-large, the most common sizes sold are medium and extra-large.
– **Mode**: The mode tells the store which size sells the most frequently, helping them adjust inventory.
\[
\text{Mode} = \text{Medium, Extra-Large} (\text{both sold 12 times})
\]
These examples show how each measure of central tendency can be used in different contexts to provide useful insights.
Thanks james
Hi Gideon…You are very welcome! Please reach out with any questions or any other contributions to our discussion!
this examples are really helpful. i will love to be a part of this amazing class.
Thank you for your feedback Emmanuel! We are happy to know you are benefiting from our content and discussions!