PPT-Measurements and Uncertainties

Uncertainties and Errors Resolution This is the smallest change in a quantity that can be measured by an instrument Eg What is the resolution of a A 30cm ruler b An analogue wristwatch. 1 02 03 04 05 06 07 08 09 1 Measured Value of x Fraction of Total Measurements SD 01 SD 02 SD 03 brPage 5br mean standard deviation histogram Figure 3 Mass of Unknown Sample 102 104 106 108 11 112 114 116 118 12 Mass kg of Measurements brPage 6br Phys. Accuracy and Precision. The . accuracy. of a measurement tells you how close the measurement is to the “true” or accepted value. . The . precision. of a measurement tells you something about the . Problem Solving class 1 for Physics 1A and Higher Physics 1A. What are problem solving classes?. These form a bridge between lecture material, labs and the exam.. In some problem solving classes you will be introduced to material covered in the lab part of the course.. MODIS Science Team Meeting. 9 May 2012. Bryan Franz. and the. MODIS Ocean. Science Team. R2010.0 Multi-Mission Ocean Color Reprocessing. Highlights:. consistent algorithms and methods for all sensors**. Rrs. ) and output ocean color data:. a brief review. Stéphane. . Maritorena. – ERI/UCSB. Uncertainties in output products. Ideally, the uncertainties associated with ocean color products should be determined through comparisons with in situ measurements (matchups). Aims. To be able to calculate the percentage uncertainty of a measurement. To be able to combine these uncertainties to evaluate the overall uncertainty in a derived result. A Speed camera takes two images of a moving car and works out speed by calculating distance/time. How do you think this image would help somebody appeal their fine in court?. A Practical Guide. What you should already know well. What you need to know, . and use. , in this lab. More details available in handout ‘Introduction to Experimental Error’ (2. nd. Year Web page).. Sara Lance. Presented at the ATTREX Science Meeting. Boulder, CO. 11-12 June 2012. FCDP – . Fast Cloud Droplet Probe. Counts individual particles according to scattering signal. Slightly Larger sample volume during ATTREX for better counting statistics in sub-visible cirrus. Oswaldo. Carrillo. Ruth Yanai. The State University of New York. Visit our website: . www.quantifyinguncertainty.org. Download papers and presentations. Share sample code. Stay updated with QUEST News. What are problem solving classes?. These form a bridge between lecture material, labs and the exam.. In some problem solving classes you will be introduced to material covered in the lab part of the course.. Talat Odman. Fernando Garcia-Menendez . Aika. . Yano. Yongtao. . Hu. . CMAS Annual Conference. Chapel Hill, North Carolina. October 16, 2012. Contributors. Scott . Goodrick. , . Yongqiang. Liu, Gary . . with Monte Carlo random trials. Alexander Kramida. National Institute of Standards and Technology,. Gaithersburg, Maryland, USA. . Parameters in atomic codes. Transition matrix elements. Slater parameters. Guus . Velders. The Netherlands. (. RIVM. ). Guus. . Velders. 2. Focus on Ozone-Depleting Substances. Projections of gases controlled by the Montreal Protocol. CFCs, halons, HCFCs, carbon tetrachloride, methyl chloroform, CH. Stephen Croft (ORNL). Ramkumar Venkataraman (ORNL). Louise G. Worrall (ORNL). Robert D. McElroy Jr. (ORNL). Andrea Favalli (LANL). Acknowledgement. This work was sponsored in part by the U.S. Department of Energy (DOE), National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation Research and Development (NA-22) and in part by ORNL and LANL..