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Uncertainity in measurement - Some Basic Concepts of Chemistry Video Lecture - Class 11

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FAQs on Uncertainity in measurement - Some Basic Concepts of Chemistry Video Lecture - Class 11

1. What is uncertainty in measurement?
Ans. Uncertainty in measurement refers to the inherent limitations and lack of exactness in any measurement. It represents the degree of doubt or error that exists in the measured value. In other words, it indicates the range within which the true value of a quantity lies.
2. How is uncertainty expressed in measurements?
Ans. Uncertainty in measurements is commonly expressed using the concept of significant figures. Significant figures are the digits in a measurement that carry meaning or contribute to the precision of the value. The more significant figures a measurement has, the smaller the uncertainty.
3. What factors contribute to uncertainty in measurement?
Ans. Several factors contribute to the uncertainty in measurements, including instrument limitations, human errors, environmental conditions, and the inherent nature of the quantity being measured. For example, the precision of a measuring instrument, such as a ruler or a thermometer, can affect the uncertainty in the measurement.
4. How can uncertainty be reduced in measurements?
Ans. Uncertainty in measurements can be reduced by using more precise measuring instruments, improving the measurement technique, taking multiple measurements and calculating the average, and minimizing human errors. Calibration of instruments and controlling environmental factors can also help in reducing uncertainty.
5. Why is it important to consider uncertainty in measurements?
Ans. Considering uncertainty in measurements is crucial because it provides a realistic understanding of the limitations of the measured values. It helps in evaluating the reliability and accuracy of experimental data, comparing measurements from different sources, and making informed decisions based on the available data. Ignoring uncertainty can lead to incorrect conclusions and inaccurate predictions.
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