1.6 Mathematical Treatment of Measurement Results

3 min readjune 24, 2024

Measurements are crucial in chemistry. We'll learn how to convert units, use the for complex problems, and switch between . These skills help us work with different units and solve real-world chemistry problems.

We'll also dive into measurement uncertainty. Understanding , , and types of errors helps us interpret data better. These concepts are key to making sense of experimental results in chemistry.

Mathematical Treatment of Measurement Results

Unit conversion through dimensional analysis

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  • Problem-solving method uses units to guide calculation
  • Converts from one unit to another
  • Ensures final answer has correct units
  • Steps:
    • Identify given quantity and units
    • Determine desired unit for final answer
    • Use to cancel original units and obtain desired units
      • Conversion factors are fractions relating equivalent quantities with different units
      • Numerator and denominator have same value but different units
    • Multiply given quantity by conversion factors to obtain final answer with desired units
  • Example: Convert 5.2 meters to centimeters
    • Given quantity: 5.2 meters
    • Desired unit: centimeters
    • Conversion factor: 100 cm1 m\frac{100\text{ cm}}{1\text{ m}}
    • Calculation: 5.2 m×100 cm1 m=520 cm5.2\text{ m} \times \frac{100\text{ cm}}{1\text{ m}} = 520\text{ cm}
  • is often used to express very large or small numbers in calculations

Factor-label method for multi-step problems

  • Extension of for multi-step problems
  • Also known as
  • Steps:
    • Identify given quantities and units
    • Determine desired unit for final answer
    • Write given quantities as fractions with given units in numerator and 1 in denominator
    • Multiply fractions by conversion factors to cancel unwanted units and obtain desired units
      • Arrange conversion factors so units cancel correctly
    • Perform calculation to obtain final answer with desired units
  • Example: Calculate volume of rectangular room (12 feet long, 10 feet wide, 8 feet high) in cubic meters
    • Given quantities: length = 12 feet, width = 10 feet, height = 8 feet
    • Desired unit: cubic meters
    • Conversion factor: 1 m3.281 ft\frac{1\text{ m}}{3.281\text{ ft}}
    • Calculation: 12 ft1×10 ft1×8 ft1×1 m3.281 ft×1 m3.281 ft×1 m3.281 ft=27.0 m3\frac{12\text{ ft}}{1} \times \frac{10\text{ ft}}{1} \times \frac{8\text{ ft}}{1} \times \frac{1\text{ m}}{3.281\text{ ft}} \times \frac{1\text{ m}}{3.281\text{ ft}} \times \frac{1\text{ m}}{3.281\text{ ft}} = 27.0\text{ m}^3
  • in the final answer should reflect the of the original measurements

Temperature scale conversions

  • measures average kinetic energy of particles in a substance
  • Three common scales:
    • (°C): water freezes at 0°C, boils at 100°C under standard atmospheric pressure
    • (°F): water freezes at 32°F, boils at 212°F under standard atmospheric pressure
    • : scale; water freezes at 273.15 K, boils at 373.15 K under standard atmospheric pressure
  • Converting between scales:
    • Celsius to Fahrenheit: °F=95(°C)+32°F = \frac{9}{5}(°C) + 32
    • Fahrenheit to Celsius: °C=59(°F32)°C = \frac{5}{9}(°F - 32)
    • Celsius to : K=°C+273.15K = °C + 273.15
    • Kelvin to Celsius: °C=K273.15°C = K - 273.15
    • Fahrenheit to Kelvin: K=59(°F32)+273.15K = \frac{5}{9}(°F - 32) + 273.15
    • Kelvin to Fahrenheit: °F=95(K273.15)+32°F = \frac{9}{5}(K - 273.15) + 32

Measurement Uncertainty

  • refers to how close a measurement is to the true value
  • Precision describes the reproducibility of measurements
  • Errors in measurements:
    • Systematic errors consistently affect results in the same direction
    • Random errors cause fluctuations in measurements due to uncontrollable factors

Key Terms to Review (23)

Absolute Temperature: Absolute temperature is a fundamental concept in thermodynamics that represents the lowest possible temperature, where all molecular motion ceases. It is the basis for the Kelvin temperature scale, which provides an absolute measure of temperature independent of the properties of any particular substance.
Accuracy: Accuracy refers to how close a measured value is to the true or accepted value. It indicates the correctness of a measurement.
Accuracy: Accuracy is the closeness of a measured value to the true or accepted value of the quantity being measured. It is a key concept in the context of measurements, measurement uncertainty, and the mathematical treatment of measurement results.
Celsius: Celsius is a temperature scale used to measure how hot or cold an object or environment is, defined such that 0 degrees Celsius (°C) represents the freezing point of water and 100 degrees Celsius represents the boiling point at standard atmospheric pressure. This scale is commonly used in scientific contexts due to its relation to the physical properties of water, making it easy to understand temperature changes in everyday life.
Conversion Factors: Conversion factors are numerical values used to convert one unit of measurement to another equivalent unit. They are essential tools in the mathematical treatment of measurement results, allowing for the accurate translation between different measurement systems and scales.
Dimensional analysis: Dimensional analysis is a mathematical technique used to convert one set of units to another. It involves multiplying by conversion factors that express the same quantity in different units.
Dimensional Analysis: Dimensional analysis is the process of analyzing and manipulating the dimensions of physical quantities to verify the dimensional consistency of equations, convert between different units, and solve problems involving multiple measurements. It is a powerful tool used in various scientific and engineering fields to ensure the validity and accuracy of calculations and relationships between physical quantities.
Factor-label method: The factor-label method, also known as dimensional analysis, is a technique used to convert units by multiplying by conversion factors. It ensures that units cancel appropriately to yield the desired unit of measurement.
Factor-Label Method: The factor-label method, also known as the unit factor method or dimensional analysis, is a problem-solving technique used in chemistry and physics to convert between different units of measurement. It involves setting up a series of unit fractions, or conversion factors, to transform a quantity from one unit to another.
Fahrenheit: Fahrenheit is a temperature scale that measures the degree of hotness or coldness of an object or substance. It is commonly used in the United States and a few other countries, with the freezing point of water being 32°F and the boiling point of water being 212°F at standard atmospheric pressure.
Kelvin: Kelvin is the base unit of temperature in the International System of Units (SI). It is named after the physicist William Thomson, also known as Lord Kelvin, who was the first to propose an absolute scale of temperature. The Kelvin scale is a fundamental quantity in various areas of chemistry, including measurements, the ideal gas law, collision theory, and the study of spontaneity.
Kelvin (K): Kelvin (K) is the SI unit of thermodynamic temperature. It is one of the seven base units in the International System of Units (SI).
Precision: Precision refers to the consistency of a set of measurements or results. It indicates how close the measurements are to each other, regardless of their accuracy.
Precision: Precision refers to the degree of closeness or reproducibility of a measurement. It is a measure of how consistently a measurement can be repeated, regardless of its accuracy in relation to the true value.
Random Error: Random error is the unpredictable variation in a measurement that occurs due to the limitations of the measurement process. It is the component of measurement uncertainty that cannot be eliminated, even with careful technique, and leads to inconsistent results across multiple measurements of the same quantity.
Scientific Notation: Scientific notation is a compact way of expressing very large or very small numbers by representing them as a product of a number between 1 and 10 multiplied by a power of 10. This method is particularly useful for calculations and data representation in the context of scientific measurements and mathematical treatment of measurement results.
Significant figures: Significant figures are the digits in a measurement that carry meaningful information about its precision. They include all certain digits plus one uncertain or estimated digit.
Significant Figures: Significant figures, also known as significant digits, are the meaningful numbers in a measurement or calculation that indicate the precision of the value. They represent the number of digits that are known with certainty, including the uncertain last digit. Significant figures are crucial in the context of measurements, measurement uncertainty, accuracy, and precision, as well as the mathematical treatment of measurement results.
Systematic Error: Systematic error is a consistent deviation from the true value in measurements, often caused by flaws or limitations in the measurement process or equipment. It is a type of measurement error that affects the accuracy of results, in contrast to random errors which affect the precision of measurements.
Temperature: Temperature is a measure of the average kinetic energy of the particles in a substance. It determines the direction of heat flow between objects.
Temperature Scales: Temperature scales are systems used to measure and quantify the degree of hotness or coldness of an object or environment. They provide a standardized way to express and compare temperature measurements, which is essential for scientific analysis and everyday applications.
Unit conversion factor: A unit conversion factor is a ratio that expresses how many of one unit are equal to another unit. It is used to convert measurements from one unit to another.
Unit Factor Method: The unit factor method, also known as the factor-label method or dimensional analysis, is a problem-solving technique used to convert between different units of measurement. It involves setting up a series of unit fractions, or conversion factors, to manipulate the units and arrive at the desired result.
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