Frequency Distribution

What is the primary purpose of a frequency distribution table (FDT)?

• To collect raw data without organization.

• To display data in a graphical format only.

• To organize data by grouping it into categories or intervals and showing the number of times each occurs.

• To perform complex mathematical computations directly.

Which of the following is a benefit of using a frequency distribution table?

• It makes raw data harder to interpret.

• It obscures patterns and trends in data.

• It prepares data for advanced analysis like graphs or computations.

• It is only useful for classroom surveys.

When is an ungrouped frequency distribution table typically used?

• For numerical responses like scores or age ranges.

• When data needs to be organized into intervals.

• For categorical responses such as favorite snacks or colors.

• To calculate the average of a large dataset.

What type of data is best suited for a grouped frequency distribution table?

• Data listed by individual categories.

• Numerical responses organized into intervals or ranges.

• Qualitative data that cannot be counted.

• Data that is already perfectly ordered.

When is it appropriate to use a Grouped Frequency Distribution Table (FDT)?

• When the data is categorical.

• When the number of unique values is small.

• When the data is numerical and the number of unique values is large.

• When the data consists of primary colors.

A survey was conducted on the most preferred primary color among 15 classmates. If the responses were Red (5), Blue (7), and Yellow (3), what is the total number of responses?

• 10

• 12

• 15

• 18

What is the first step in creating a Frequency Distribution Table (FDT) from grouped data?

• Determine the class width.

• Identify the range of the data.

• Decide on the number of classes.

• Calculate the frequency for each class.

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If the range of a dataset is 19 and the desired number of classes is 5, what would be the calculated class width/size?

• 3

• 4

• 5

• 19

How is the class width determined for grouped data?

• Range divided by the number of classes, rounded down.

• Range divided by the number of classes, rounded up.

• The highest score minus the lowest score.

• The number of classes multiplied by the range.