1. We created a

**Frequency Table**where the number of occurrences of each number given is clearly indicated.

2. In total, there are 22

**data points**.

3. A

**Histogram**is also created, based on the data points and frequency captured in the frequency table.

4. We learnt the term,

**outlier**, which is an observation point that is distant from other observations. In this case, we have two outliers, with 35 doors being the most extreme case.

We also learnt the following (through the above scenario)

1. Mean: The sum of all data points divided by the total number of data points

In this case,

**Mean = 9 21/22 doors or 9.95 doors (to 3 significant figures)**

2. Mode: The most frequently occured data point

In this case,

**Mode = 7 doors**

This can be identified directly from the histogram.

3. Median: The middle value

Since there are 22 data points, the middle value would be the mean of the value at the 11th and 12th position.

Value at the 11th position = 8 doors

Value at the 12th position = 8 doors

Hence, median = (8 + 8)/ 2 =

**8 doors**

*Note: Before obtaining the median, the data points must be arranged in either ascending or descending order.*

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