Question

How to count frequency from a class interval excel.

Answer 1

To count frequency from class intervals in Excel, list class intervals and data values in separate columns, then use the FREQUENCY function as an array formula. Construct a frequency table, and use it to create a histogram with relative and cumulative frequencies.

Step-by-step explanation:

To count frequency from a class interval in Excel, you can use the FREQUENCY function. Suppose you have a set of data representing the number of hours worked per day by twenty students. First, you need to list the class intervals in ascending order. In this scenario, let’s say we have intervals like 1-2 hours, 3-4 hours, and so on.

Then, in Excel, you will:

1. Input your data values into one column (e.g., Column A).
2. Create another column for your intervals (e.g., Column B).
3. Use the FREQUENCY function. For example, if your data is in cells A1 to A20 and your intervals are in B1 to B5, you would enter =FREQUENCY(A1:A20, B1:B5) in the adjacent column to get the count for each interval.
4. Press Ctrl+Shift+Enter to apply the function as an array formula.

This will calculate the frequency for each interval, which you can then use to construct a histogram with the specified number of intervals to visualize the distribution.

For a collaborative exercise, you might choose to count the change everyone has or the number of siblings each student has. After gathering this data, construct a frequency table first with just the counts, then add columns for relative frequency and cumulative relative frequency. These added measures will give you percentages that you can use to answer questions about the dataset.

To make a histogram:

1. Determine the number of intervals, which will affect the granularity of your histogram.
2. Sketch the histogram using a ruler and pencil, ensuring you scale the axes properly.
3. For a smooth distribution, such as an exponential one, draw a smooth curve connecting the tops of the bars.

By completing these steps, you can count frequency from class intervals and visualize the data distribution effectively. Remember, the mean of the dataset can also be calculated by adding up all the values and dividing by the total number of responses.