Measurements in physics aren't perfect. We use to show how precise our numbers are. This helps us understand the limits of our data and calculations.

, , and are key concepts in measurements. They help us gauge how reliable our results are and how to interpret them in experiments and real-world applications.

Significant Figures and Measurement Uncertainty

Significant figures in calculations

Top images from around the web for Significant figures in calculations
Top images from around the web for Significant figures in calculations

represent the meaningful digits in a or calculation All non-zero digits are significant (1, 2, 3, 4, 5, 6, 7, 8, 9) Zeros between non-zero digits are significant (1.02 has three significant figures) Leading zeros are not significant (0.0012 has two significant figures) are significant only if the is present (1.00 has three significant figures, but 100 has only one) When performing calculations, the result should have the same number of significant figures as the input with the least number of significant figures For addition and subtraction, the result should have the same number of decimal places as the input with the least number of decimal places (2.1 + 3.42 = 5.5) For multiplication and division, the result should have the same number of significant figures as the input with the least number of significant figures (2.1 × 3.42 = 7.2) • The position of the decimal point in a number does not affect its significant digits

Accuracy vs precision vs uncertainty

measures how close a is to the true value High accuracy means the measured value is very close to the true value (measuring a 10 cm object as 9.9 cm) Low accuracy means the measured value is far from the true value (measuring a 10 cm object as 15 cm) measures how close multiple measurements are to each other, regardless of their accuracy High precision means multiple measurements are very close to each other (measuring a 10 cm object as 9.1 cm, 9.2 cm, and 9.1 cm) Low precision means multiple measurements are spread out (measuring a 10 cm object as 8 cm, 10 cm, and 12 cm) represents the range of values within which the true value is expected to lie Uncertainty is typically expressed as a ± value (10.0 ± 0.1 cm) Lower uncertainty indicates a more precise measurement (10.0 ± 0.1 cm has lower uncertainty than 10 ± 1 cm) • refers to the difference between a measured value and the true value

Percent uncertainty calculation

expresses the uncertainty of a measurement relative to the measured value To calculate percent uncertainty:

  1. Determine the absolute uncertainty (the ± value)
  2. Divide the absolute uncertainty by the measured value
  3. Multiply by 100 to express as a percentage Formula for percent uncertainty: Percent Uncertainty=Absolute UncertaintyMeasured Value×100%\text{Percent Uncertainty} = \frac{\text{Absolute Uncertainty}}{\text{Measured Value}} \times 100\% Example: If a mass is measured as 50 ± 1 g, the percent uncertainty is 150×100%=2%\frac{1}{50} \times 100\% = 2\%

Propagation of uncertainty rules

When performing calculations with measured values, the uncertainties in the input values propagate to the final result For addition and subtraction: Uncertainty in Result=(Uncertainty 1)2+(Uncertainty 2)2+\text{Uncertainty in Result} = \sqrt{(\text{Uncertainty 1})^2 + (\text{Uncertainty 2})^2 + \ldots} Example: If L=10.0±0.1L = 10.0 \pm 0.1 cm and W=5.0±0.2W = 5.0 \pm 0.2 cm, then for L+WL + W, the uncertainty is (0.1)2+(0.2)2\sqrt{(0.1)^2 + (0.2)^2} cm =0.22= 0.22 cm For multiplication and division: Percent Uncertainty in Result=(Percent Uncertainty 1)2+(Percent Uncertainty 2)2+\text{Percent Uncertainty in Result} = \sqrt{(\text{Percent Uncertainty 1})^2 + (\text{Percent Uncertainty 2})^2 + \ldots} Example: If L=10.0±0.1L = 10.0 \pm 0.1 cm (1% uncertainty) and W=5.0±0.2W = 5.0 \pm 0.2 cm (4% uncertainty), then for L×WL \times W, the percent uncertainty is (1%)2+(4%)2=4.1%\sqrt{(1\%)^2 + (4\%)^2} = 4.1\%

Measurement and Significant Digits

• A measurement is a quantitative observation of a physical property • Significant digits (or significant figures) are all the digits in a measurement that are known with certainty, plus one estimated digit • The number of significant digits in a measurement reflects its precision

Key Terms to Review (28)

Accuracy: Accuracy is the degree to which a measured value conforms to the true or accepted value. High accuracy indicates that the measurement is very close to the actual value.
Accuracy: Accuracy refers to the closeness of a measured or calculated value to the true or accepted value. It is a measure of how well a result or measurement represents the actual quantity being assessed, without systematic errors.
Addition Rule: The addition rule is a fundamental principle in the context of significant figures, which states that when adding or subtracting measurements, the number of significant figures in the final result is determined by the measurement with the fewest significant figures.
Analytical Balance: An analytical balance is a highly precise and sensitive instrument used to measure the mass of small samples with extreme accuracy. It is a crucial tool in scientific research and various industries where precise measurements are essential.
Counting Method: The counting method is a technique used to determine the number of significant figures in a measurement or calculation. It involves systematically counting the significant digits, starting from the first non-zero digit and including all digits that are certain, as well as any uncertain digits.
Decimal Point: The decimal point is the punctuation mark used to separate the whole number portion from the fractional portion of a number. It is a critical component in the representation and understanding of numerical values, particularly in the context of significant figures.
Discrepancy: A discrepancy is the difference between an observed value and an expected or true value. In physics, it often highlights errors in measurement or calculations.
Experimental Error: Experimental error refers to the deviation between the measured or observed value and the true or accepted value of a quantity in a scientific experiment. It is an inevitable aspect of any measurement or observation, and understanding and accounting for experimental error is crucial in interpreting the results of scientific investigations.
Least Significant Digit: The least significant digit (LSD) is the rightmost digit in a numerical value that conveys the smallest amount of information. It represents the smallest unit or increment that a measurement or calculation can have. The LSD is an important concept in the context of significant figures, as it helps determine the precision and reliability of numerical data.
Measured Value: A measured value refers to a numerical result obtained from a measurement process, reflecting the quantity of a particular property. It is critical in science and engineering as it provides the basis for quantitative analysis and decision-making, and it is expressed with a certain degree of precision, often determined by the significant figures used in the measurement.
Measurement: Measurement is the process of quantifying the physical properties of an object or phenomenon using a standard unit or scale. It is a fundamental concept in physics that allows for the precise description and analysis of the natural world.
Method of adding percents: The method of adding percents involves summing up individual percentage errors to estimate the total percentage error in a calculated value. This is crucial in evaluating the precision of measurements and results in physics experiments.
Micrometer: A micrometer is a precision measuring instrument used to measure the dimensions of small objects with great accuracy. It is a key tool in scientific and engineering applications that require precise measurements, often down to the micron (one-millionth of a meter) level.
Multiplication Rule: The multiplication rule is a fundamental concept in mathematics that describes how to calculate the probability of two or more independent events occurring together. It states that the probability of multiple independent events happening simultaneously is equal to the product of their individual probabilities.
Percent uncertainty: Percent uncertainty is a measure of the relative size of the uncertainty in a measurement compared to the size of the measurement itself, expressed as a percentage. It helps assess the precision and accuracy of measurements.
Precision: Precision refers to the consistency or repeatability of measurements. It indicates how close multiple measurements are to each other, regardless of their accuracy.
Precision: Precision refers to the consistency and reproducibility of measurements or results, reflecting how closely multiple measurements of the same quantity agree with each other. High precision indicates that repeated measurements yield similar results, while low precision suggests significant variability among those measurements. This concept is particularly important when working with significant figures, as it impacts the reliability and clarity of numerical data in scientific contexts.
Propagation of Uncertainty: Propagation of uncertainty is the effect of the uncertainties of the input variables on the uncertainty of the output of a mathematical operation or model. It describes how errors or uncertainties in the measurements of the input variables contribute to the overall uncertainty of the final result.
Random Error: Random error is the unpredictable variation in a measurement that occurs even when the same procedure is followed multiple times. It is caused by uncontrollable factors and cannot be eliminated, but its effects can be reduced through repeated measurements and statistical analysis.
Rounding: Rounding is the process of approximating a numerical value to a specified number of significant figures or decimal places. It is a fundamental concept in mathematics and science that allows for the representation of data with an appropriate level of precision.
Scientific Notation: Scientific notation is a way to express very large or very small numbers in a compact form, typically written as a product of a number between 1 and 10 and a power of 10. This notation makes it easier to handle calculations involving extreme values, which are common in fields that deal with the vast scales of physics and measurements. It also aids in standardizing units and simplifies the process of converting between them, while ensuring that significant figures are maintained in calculations.
Significant digit: A significant digit is any non-zero digit or any zero that is part of a measurement, which contributes to its precision. The concept is crucial in accurately conveying the precision of measurements and calculations, ensuring that the information shared is meaningful and reliable. Understanding significant digits helps avoid misinterpretation of numerical data in scientific work, where every digit holds importance in determining the accuracy of results.
Significant figures: Significant figures are the digits in a number that contribute to its precision, including all non-zero digits, zeroes between significant digits, and trailing zeroes in a decimal number. They indicate the accuracy of measurements and calculations.
Significant Figures: Significant figures, also known as significant digits, refer to the meaningful digits in a measurement or calculation that carry weight and convey the precision of the data. They are essential in expressing the accuracy and reliability of numerical values in the context of physics and other scientific disciplines.
Systematic Error: Systematic error is a consistent bias or deviation in the results of a measurement process that is not due to random chance. It is a type of measurement error that occurs due to flaws or limitations in the measurement system, methodology, or environment, leading to a consistent over- or underestimation of the true value.
Trailing Zeros: Trailing zeros are the zeros that appear at the end of a number. They do not affect the value of the number but are important in the context of significant figures, as they can indicate the precision of a measurement.
Uncertainty: Uncertainty quantifies the doubt about the result of a measurement. It defines the range within which the true value is expected to lie.
Uncertainty: Uncertainty is the state of being unsure or indefinite, where the true value of a measurement or calculation is not known with absolute precision. It is a fundamental concept in physics that reflects the inherent limitations in our ability to measure or predict physical quantities with perfect accuracy.
© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.