1 / 15

Understanding Statistical Accuracy: Factors, Calculations, and Error Reduction Techniques

This document delves into the various aspects of statistical accuracy, including factors that affect it such as count rate, time, background noise, equipment efficiency, and sample volume. It outlines methods for error reduction like peer checks and adherence to procedures. Calculations such as minimum detectable count rate (MDCR) and lower limit of detection (LLD) are presented alongside distributions, confidence levels, and the significance of standard deviation. Essential for ensuring precise and accurate results in statistical analyses.

ordell
Télécharger la présentation

Understanding Statistical Accuracy: Factors, Calculations, and Error Reduction Techniques

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. Counting Statistics HPT001.011 Revision 3 Page of 45 31

  2. HPT001.011 Revision 3 Page of 45 32 Statistical Accuracy • Factors that affect statistical accuracy: • Count rate • Count time • Background • Equipment efficiency • Sample vol. • Geometry • Moisture absorption

  3. Events HPT001.011 Revision 3 Page of 45 33 Error Reduction • Peer Check • STAR • Procedure Use and Adherence

  4. Accuracy and Precision 34 HPT001.011 Revision 3 Page of 45

  5. HPT001.011 Revision 3 Page of 45 35 Standard Deviation Where’s the mean? • Represented by the Greek symbol sigma  • One  is the distance from the peak out to a vertical line enclosing 34.15% of the total area under the curve

  6. HPT001.011 Revision 3 Page of 45 36 Frequency Distribution • Data is plotted on a histogram • Height of bar represents frequency of occurrence

  7. HPT001.011 Revision 3 Page of 45 37 Poisson Distribution • Probability of “success” is low • Number of trials is high

  8. Gaussian Distribution 38 • Symmetrical about the mean • One  includes 68.3% of area under curve HPT001.011 Revision 3 Page of 45

  9. Confidence Level 39 1 = 68.3 % confidence level 2 = 95.4 % confidence level HPT001.011 Revision 3 Page of 45

  10. HPT001.011 Revision 3 Page of 45 40 Minimum Detectable Count Rate • Calculated using the equation: MDC = 2.71 + 3.3 [B(tb+ts)/tb]1/2 where: MDC is the minimum dectectable counts; B is the background counts; tb is the background counting time, minutes; ts is the sample counting time, minutes. MDCR = MDC/ts

  11. HPT001.011 Revision 3 Page of 45 41 MDCR Application • If gross count rate is > (Bkd + MDCR): It may be concluded with 95% confidence that radioactivity is present above natural background. Calculate results using normal processes.

  12. HPT001.011 Revision 3 Page of 45 42 MDCR Application (cont’d) • If gross count rate is < (Bkd + MDCR): record as "< MDA".

  13. HPT001.011 Revision 3 Page of 45 43 Lower Limit of Detection • Calculated using the equation: LLD (Ci/cc) = 4.66 b (2.22E6)(E)(V)(Y)(D) where: V is the sample volume in cc; E is the counter efficiency (cts/dis); Y is the chemical yield if applicable; D is the decay correction for delayed count on sample. 2.22E6 is a conversion factor - dpm per Ci

  14. HPT001.011 Revision 3 Page of 45 44 Chi-Square Test • Calculated using the equation: x2 = (n-)2  where: n = the data for each count;  = the average of the individual counts;  = n/N N = the number of observations (usually 21)

  15. HPT001.011 Revision 3 Page of 45 45 Chi-Square Test

More Related