Errors and Uncertainties

2026 Syllabus Objectives

By the end of this subtopic, you should be able to:

  1. Understand and explain the effects of systematic errors (including zero errors) and random errors in measurements
  2. Understand the distinction between precision and accuracy
  3. Assess the uncertainty in a derived quantity by simple addition of absolute or percentage uncertainties

Understanding Errors in Measurements

When you measure something in physics—whether it's the length of a wire, the time for a pendulum swing, or the temperature of water—you can never get the exact "true value." There will always be some error (difference between what you measured and the true value) and some uncertainty (doubt about how accurate your measurement is).

Think of error as "what went wrong" and uncertainty as "how much doubt we have."

There are two main types of errors that affect our measurements: systematic errors and random errors.


Systematic Errors

What is a systematic error?

A systematic error is a consistent mistake that affects all your measurements in the same way—either making them all too high or all too low. It's like using a broken ruler that's missing the first centimeter: every measurement you take will be 1 cm less than it should be.

Causes of systematic errors:

  1. Faulty instruments

    • A poorly calibrated thermometer that always reads 2°C too high
    • A balance that shows 0.5 g when nothing is on it (this is called a zero error)
    • A stopwatch that runs slightly fast or slow
  2. Flawed experimental method

    • Always counting one extra oscillation when timing a pendulum
    • Reading a scale from an angle instead of straight-on (called parallax error)
    • Using the wrong formula in calculations (e.g., writing v = d - t instead of v = d/t)

Effects of systematic errors:

  • All your readings will be shifted in one direction (all too high OR all too low)
  • Your measurements won't cluster around the true value
  • This affects the accuracy of your results (how close you are to the true value)
  • Even if you repeat the experiment many times, the error won't go away

Example:

Imagine you're measuring the length of a table with a ruler that has a worn-away zero mark. If the true length is 150 cm but you start measuring from what you think is zero (but is actually 2 cm), you'll get 148 cm. If you measure again and again, you'll keep getting 148 cm—the systematic error makes all your readings consistently wrong.

How to reduce systematic errors:

  • Recalibrate or replace faulty instruments (get a new ruler, check the balance reads zero with nothing on it)
  • Correct your technique (read scales straight-on, count oscillations carefully)
  • Check your method and formulas before starting the experiment

Important: You cannot remove systematic errors by taking more measurements and averaging them. You must find the source of the error and fix it.

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