This video tutorial explains the difference between frequency and relative frequency tables. It guides viewers through creating a relative frequency table by organizing data, converting ratios to decimals and percentages, and verifying the results. The lesson concludes with a brief introduction to the next topic, creating a two-way frequency table.

What is the main difference between a frequency table and a relative frequency table?

• A frequency table shows percentages, while a relative frequency table shows counts.

• A frequency table shows counts, while a relative frequency table shows percentages or ratios.

• A frequency table is used for qualitative data, while a relative frequency table is for quantitative data.

• A frequency table is more accurate than a relative frequency table.

How do you start creating a relative frequency table from a frequency table?

• By multiplying each frequency by 100.

• By converting all frequencies to percentages directly.

• By organizing the data and writing each frequency as a ratio over the total.

• By adding all the frequencies together.

What is the decimal representation of the ratio 30/50?

• 0.5

• 0.3

• 0.6

• 0.8

What is the first step in converting a ratio to a decimal?

• Subtract the denominator from the numerator.

• Add the numerator and denominator.

• Divide the numerator by the denominator.

• Multiply the numerator by 100.

How can you convert a ratio to a percentage using a common factor?

• By dividing the numerator by the denominator.

• By multiplying both the numerator and denominator by the same number to make the denominator 100.

• By adding 100 to the numerator.

• By subtracting the numerator from the denominator.

What is the percentage equivalent of the decimal 0.6?

• 600%

• 0.6%

• 6%

• 60%

What should the sum of the relative frequencies in a table equal?

• 10

• 0

• 50

• 1 or 100%

What is the purpose of a relative frequency table?

• To compare two different datasets.

• To list all possible events.

• To display the percentage or ratio of each event relative to the total.

• To show the total number of events.

Why is it important to convert frequencies to relative frequencies?

• To eliminate the need for a frequency table.

• To allow for easier comparison between different datasets.

• To increase the total number of events.

• To make the data more complex.

What is the next topic after learning about relative frequency tables?

• Creating a two-way frequency table.

• Advanced algebra.

• Basic arithmetic.

• Graphing linear equations.