1 / 25

Exact and Inexact Numbers

Exact and Inexact Numbers. In scientific work, numbers are groups in two categories: exact numbers and inexact numbers. An exact number is a number that has a value with no uncertainty in it; that is, it is known exactly. Examples: There are exactly 12 objects in a dozen, not 12.01 or 12.02.

opa
Télécharger la présentation

Exact and Inexact Numbers

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. Exact and Inexact Numbers

  2. In scientific work, numbers are groups in two categories: exact numbers and inexact numbers. An exact number is a number that has a value with no uncertainty in it; that is, it is known exactly. Examples: There are exactly 12 objects in a dozen, not 12.01 or 12.02. There can be 7 people in a room, but never 6.99 or 7.02.

  3. An inexact number is a number that has a value with a degree of uncertainty in it. Inexact numbers result anytime a measurement is made.

  4. It is impossible to make an exact measurement; some uncertainty will always be present. Flaws in measuring-device construction, improper calibration of an instrument, and the skills (or lack of skills) possessed by a person using a measuring device all contribute to (uncertainty).

  5. Errors in measurement can be classified as either random errors or systematic errors. A random error is an error originating from uncontrollable variables in an experiment. Such errors result in experimental values that fluctuate about the true value. A variation in the angle from which a measurement scale is viewed will cause random error. Momentary changes in air currents, atmospheric pressure, or temperature near a sensitive balance for weighting would cause random errors. The net result of random errors, which can never be completely eliminated, is a decrease in the precision of a series of measurements.

  6. A systematic error is an error originating from controllable variables in an experiment. They are “constant” errors that occur again and again. A flaw in a piece of equipment, such as a chipped weight in a balance, would cause systematic error. All readings would be off by a specific amount because of the flaw.

  7. Accuracy, Precision, and Error Precision is an indicator of how close a series of measurements on the same object are to each other.

  8. Accuracyis an indicator of how close a measurement (or the average of multiple measurements) comes to a true or accepted value.

  9. The activity of throwing darts at a target illustrates nicely the difference between these two terms. Accuracy refers to how close the darts are to the center (bull's-eye) of the target. Precision refers to how close the darts are to each other.

  10. The difference between precision and accuracy.

  11. Practice Problem Student A: poor accuracy, poor precision Solution Student B: good accuracy, good precision Student C: poor accuracy, good precision

  12. Poor accuracy Poor precision

More Related