# Class Interval Arithmetic Mean Calculator

Determine class interval arithmetic means accurately with our calculator.

 Intervels 1-10,11-20,21-30,31-40,41-50Enter the Numbers with Comma separated(,) Friquency 5,20,40,80,100Enter the Numbers with Comma separated(,)
 Result: No.of Inputs Arithmetic Mean

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The class interval arithmetic mean, also known as the midpoint or class mark, is a measure of central tendency used in statistics to represent data when dealing with grouped or class interval data. It provides a single value that represents the "typical" value in each class interval. To calculate the class interval arithmetic mean, follow these steps:

## How to Calculate Class Interval Arithmetic Mean

### Step 1: Gather Data

Obtain the grouped or class interval data. Each interval should have two components: the lower class limit (LCL) and the upper-class limit (UCL), along with the frequency (f) or the number of data points in each interval.

### Step 2: Calculate Class Marks

For each class interval, find the class mark, which is the midpoint of the interval. To calculate the class mark (X), use the following formula:

X = (LCL + UCL) / 2

### Step 3: Calculate the Weighted Sum

Multiply each class mark (X) by its corresponding frequency (f) and sum these products for all class intervals to find the weighted sum (ΣXf).

### Step 4: Calculate the Class Interval Arithmetic Mean

Finally, calculate the class interval arithmetic mean (A) using the formula:

A = ΣXf / N

Where:

• A is the class interval arithmetic mean.
• X is the class mark for each interval.
• f is the frequency (number of data points) in each interval.
• ΣXf is the weighted sum of the class marks.
• N is the total number of data points in all intervals (sum of the frequencies).

### Step 5: Interpret the Result

The class interval arithmetic mean is a valuable measure for summarizing grouped data. It provides a representative value for the entire dataset, especially when data is presented in intervals rather than as individual values. It's commonly used in statistics and data analysis to understand the central tendency of grouped data.