IGCSE Science Paper 6 Practice Test 2026 – All-in-One Study Guide to Excel in Your Exam!

The main idea is that random errors in measurements can be reduced by repeating measurements and averaging. When you take several readings, the random fluctuations tend to cancel out, so the average is closer to the true value and the data become more reliable. A single reading relies on luck and can be off due to momentary mistakes or fluctuations. Ignoring errors assumes measurements are exact, which isn’t the case. Increasing the measurement interval doesn’t address the underlying measurement noise and can lose useful information. Note that averaging helps with random errors but won’t fix systematic errors from a miscalibrated instrument; calibration or using a better instrument is needed for that.