What is the median number of cars sold this month?



Salesperson
Number of Cars Sold

Frank
25

Sara
20

Randy
15

Braheem
22

Alice
20


Verified Answer :

  • The sales data is organized into the set: \(\{25, 20, 15, 22, 20\}\).
  • Sorting these values in ascending order results in: \(\{15, 20, 20, 22, 25\}\).
  • The middle value (the third of five) is 20.
  • The median number of cars sold is \(\boxed{20}\).

Explanation

  1. Analyze the provided data

To find the median number of cars sold, we first need to gather all the individual sales data points from the provided table. We have the following data set for the five salespeople:

  • Frank: 25
  • Sara: 20
  • Randy: 15
  • Braheem: 22
  • Alice: 20

Our data set is \(S = \{25, 20, 15, 22, 20\}\). There are \(n = 5\) observations in total.

  1. Sort the data set and identify the middle value

The median is defined as the middle value of a data set when it is arranged in numerical order. Since we have an odd number of observations (\(n = 5\)), the median will be the value located exactly at the center of the sorted list.

First, let's sort the sales numbers from least to greatest:

  1. 15
  2. 20
  3. 20
  4. 22
  5. 25

The sorted data set is \(S_{sorted} = \{15, 20, 20, 22, 25\}\).

  1. Calculate the median position and determine the value

To find the position of the median in an ordered list of \(n\) values, we use the formula \(\text{Position} = \frac{n + 1}{2}\).
For our data set where \(n = 5\):
\[\text{Position} = \frac{5 + 1}{2} = \frac{6}{2} = 3\]

The median is the value at the third position in our sorted list \(S_{sorted} = \{15, 20, 20, 22, 25\}\).
The value at the third position is \(20\). Therefore, the median number of cars sold is \(20\).

Examples

The median is a very useful statistical tool for summarizing data because it is not affected by extreme outliers. For instance, if you are looking at home prices in a neighborhood or salaries in a company, the median provides a more "typical" value than the mean (average), which can be skewed by one very high or low figure. Understanding how to find it helps you interpret everyday data reports accurately.