The presenter introduces the concept of a relative frequency distribution table and begins listing a dataset.

• The video begins with an intention to explain how to construct a relative frequency distribution table.
• The presenter starts listing a dataset with numbers ranging from 2 to 8.

The first step in creating the relative frequency table is to tally the occurrences of each value in the dataset.

• A frequency table is created with columns for value (V), frequency (F), and relative frequency (RF).
• Starting with the lowest value, the presenter counts the frequency of each number in the dataset.
• Frequencies for numbers 2 through 8 are determined and recorded in the frequency table.

The presenter sums the frequencies of all values to establish the total frequency required to calculate relative frequencies.

• The sum of the frequency column is calculated to be 20.
• Total frequency is crucial for determining the relative frequency of each value.

Relative frequencies for each value are calculated and the presenter demonstrates verifying the accuracy of the table.

• Relative frequency is calculated by dividing the frequency of each value by the total frequency of 20.
• Each relative frequency is written as a decimal, such as 0.30 for a frequency of 6, and 0.15 for a frequency of 3.
• The presenter emphasizes the importance of the sum of all relative frequencies equalling 1 to ensure accuracy.

The video concludes with a summary of the process, a call to subscribe and a promotion for a related video.

• The process of constructing the relative frequency table is summarized.
• The audience is encouraged to subscribe and activate notifications.
• A follow-up video on cumulative relative frequency is promoted.