How to Calculate a Normalized Curve

Generate a normalized graph using a simple calculator.
••• NA/ Images

The collection of experimental data is fundamental to experimental science. It is common practice to plot the experimental data upon a graph to help in the identification of trends. Sometimes, the absolute magnitude of the data is not important, but instead the relative variation has importance. In such cases, you can normalize the experimental data which involves scaling it to within the range of zero and one, using a calculator.

    Write down the raw data in a table format. For example:

    D H 0 10 1 15 2 10

    Normalize the data in the second column. To normalize the data, find the peak value in the column. Following the example, the peak value is 15m. Make a third column and label it "Normalized data." Use the following formula to calculate the normalized values for column 3: column 3 = column 2 / peak value in column 2

    Following the example, the following table will be made:

    D H Normalized H 0 10 0.666 1 15 1.000 2 10 0.666

    Draw a standard x-y graph, and label the x-axis accordingly. Label the y-axis "Normalized Data." Plot column one of the table as the x value and column 3 as the y value.

    Things You'll Need

    • Calculator
    • Graph paper

Related Articles

How to Find a Z Score
Test Your Knowledge on Middle School Science
How to Calculate a P-Value
How to Interpret a Student's T-Test Results
How to Calculate CV Values
How to Calculate Variance From a Ti84
Characteristics of Aquatic Plants
How to Calculate Relative Frequency Distribution
How to Find Correlation Coefficient & Coefficient of...
Statistical Analysis Tools
302 Vs. 304 Stainless Steel
How to Calculate a Moving Range
How to Calculate Percent Relative Range
How to Find the Range of Numbers
What is the Identity Property of Multiplication?
How to Convert T-Scores to Percentiles
How to Calculate a Temperature Range
How to Calculate Logit
How to Determine a Sample Size Confidence Interval
How to Report Z-Score Results

Dont Go!

We Have More Great Sciencing Articles!