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Grouped Frequency Distribution Calculator

Grouped Frequency Distribution:

\[ \text{Frequency} = \text{Count of values in each class interval} \]

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1. What is Grouped Frequency Distribution?

A grouped frequency distribution is a table that organizes data into intervals (classes) and shows how many data points fall into each interval. It's useful for summarizing large datasets and identifying patterns.

2. How Does the Calculator Work?

The calculator creates class intervals based on your specified interval size and counts how many data points fall into each interval:

\[ \text{Frequency} = \text{Count of values in each class interval} \]

Example: For data [1,2,3,4,5,6,7,8,9,10] with interval size 3:

3. Importance of Frequency Distribution

Details: Grouped frequency distributions help in:

4. Using the Calculator

Steps:

  1. Enter your numerical data points separated by commas
  2. Specify the class interval size (e.g., 5, 10, etc.)
  3. Click "Calculate" to generate the frequency table

5. Frequently Asked Questions (FAQ)

Q1: What's the best interval size to use?
A: A good rule of thumb is to have between 5-20 intervals. Too few can hide patterns, too many can make the data noisy.

Q2: Should interval boundaries be inclusive or exclusive?
A: This calculator uses exclusive upper boundaries (e.g., 0-5 includes 0 but not 5).

Q3: What if my data has decimals?

Q4: Can I use this for categorical data?
A: No, this calculator is designed for numerical data only.

Q5: How can I visualize the results?
A: The frequency table can be used to create a histogram by plotting intervals on the x-axis and frequencies on the y-axis.

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