1 / 15

Accuracy is the closeness of a measured value to the true value.

ACCURACY. Accuracy is the closeness of a measured value to the true value. For example, the measured density of water has become more accurate with improved experimental design, technique, and equipment. ACCURACY. Percent error is used to estimate the accuracy of a measurement.

efuru
Download Presentation

Accuracy is the closeness of a measured value to the true value.

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. ACCURACY • Accuracy is the closeness of a measured value to the true value. • For example, the measured density of water has become more accurate with improved experimental design, technique, and equipment.

  2. ACCURACY • Percent error is used to estimate the accuracy of a measurement. • Percent error will always be a positive. • What is the percent error if the measured density of titanium (Ti) is 4.45 g/cm3 and the accepted density of Ti is 4.50 g/cm3?

  3. PRECISION • Precision is the agreement between repeated measurements of the same sample. Precision is usually expressed as a standard deviation. • For example, the precision of a method for measuring arsenic (As) was determined by measuring 7 different solutions each containing 14.3 μg/L of As. Average = 15.3 μg/L Standard Deviation = 2.1 μg/L What is the true concentration of As in this experiment? Estimate the accuracy of this method. How precise is this method? 14.3 μg/L 2.1 μg/L

  4. ACCURACY AND PRECISION • Describe the accuracy and precision of these 4 targets. Accurate, and precise Precise, but not accurate Accurate, but not precise Not accurate, and not precise

  5. ERRORS • Systematic (or determinate) errors are reproducible and cause a bias in the same direction for each measurement. • For example, a poorly trained operator that consistently makes the same mistake will cause systematic error. Systematic error can be corrected. • Random (or indeterminate) errors are caused by the natural uncertainty that occurs with any measurement. • Random errors obey the laws of probability. That is, random error might cause a value to be over predicted during its first measurement and under predicted during its second measurement. Random error cannot be corrected.

  6. INTERPOLATION AND SIGNIFICANT FIGURES • By convention, a measurement is recorded by writing all exactly known numbers and 1 number which is uncertain, together with a unit label. • All numbers written in this way, including the uncertain digit, are called significant figures. • For example, the blue line is 2.73 cm long. This measurement has 3 significant figures. The first 2 digits (2.7 cm) are exactly known. The third digit (0.03 cm) is uncertain because it was interpolated or estimated 1 digit beyond the smallest graduation.

  7. INTERPOLATION AND SIGNIFICANT FIGURES • What is the volume of water in this graduated cylinder? Always measure the volume of a liquid at the bottom of the meniscus. The units are mL. • The volume of water is 52.8 mL. The 52 mL are exactly known, and the 0.8 mL is uncertain because it was interpolated or estimated 1 digit beyond the smallest graduation.

  8. SIGNIFICANT FIGURES AND ZEROS • Zeros between nonzero digits are significant. That is, 508 cm has 3 significant figures. • Leading zeroes merely locate the decimal point and are never significant. That is, 0.0497 cm equals 4.97 x 10-2 cm and has 3 significant figures. • Trailing zeros are significant as follows: 50.0 mL has 3 significant figures, 50. mL has 2 significant figures, and 50 mL has 1 significant figure. 5 4 2 2 2 3 3 3 2 3 3 3

  9. SIGNIFICANT FIGURES, ADDITION, AND SUBTRACTION • When adding or subtracting do NOT extend the result beyond the first column with a doubtful figure. For example, …

  10. SIGNIFICANT FIGURES, ADDITION, AND SUBTRACTION • What is 16.874 + 2.6? • What is 16.874 - 2.6?

  11. SIGNIFICANT FIGURES, MULTIPLICATION, AND DIVISION • When multiplying or dividing the answer will have the same number of significant digits as the least accurate number used to get the answer. For example, … • 2.005 g / 4.95 mL = 0.405 g/mL • What is 16.874 x 2.6? • What is 16.874 / 2.6?

  12. SIGNIFICANT FIGURES AND CALCULATIONS THAT REQUIRE MULTIPLE STEPS • An average is the best estimate of the true value of a parameter. • A standard deviation is a measure of precision. • Averages and standard deviations require several steps to calculate. You must keep track of the number of significant figures during each step. Do NOT discard or round any figures until the final number is reported.

  13. SIGNIFICANT FIGURES AND CALCULATIONS THAT REQUIRE MULTIPLE STEPS 2 Significant Figures ∞ Significant Figures 2 Significant Figures 1 Significant Figure 1 Significant Figure 1 Significant Figure 0 Significant Figures

  14. What is average and standard deviation for the following 3 measurements of the same sample?

  15. SOURCES • American Public Health Association, American Water Works Association, Water Environment Federation. 1995. Standard Methods for the Examination of Water and Wastewater. 19th ed. Washington, DC: American Public Health Association. • Barnes, D.S., J.A. Chandler. 1982. Chemistry 111-112 Workbook and Laboratory Manual. Amherst, MA: University of Massachusetts. • Christian, G.D. 1986. Analytical Chemistry, 3rd ed. New York, NY: John Wiley & Sons, Inc. • Frisbie, S.H., E.J. Mitchell, A.Z. Yusuf, M.Y. Siddiq, R.E. Sanchez, R. Ortega, D.M. Maynard, B. Sarkar. 2005. The development and use of an innovative laboratory method for measuring arsenic in drinking water from western Bangladesh. Environmental Health Perspectives. 113(9):1196-1204. • Morrison Laboratories. 2006. Meniscus Madness. Available: http://www.morrisonlabs.com/meniscus.htm [accessed 25 August 2006].

More Related