Compilation of measurement results









Course aims:
- Acquiring the knowledge on compiling measurement results
- Correct presentation and interpretation of measurement results
- Determining measurement accuracy
- Defining and improving measurement procedures
- Getting familiar with statistical tools for measurement data processing
- Formatting charts and inference
Course type
Course level
Duration
Location
See the laboratory
Dates
Schedule
day 2 h. 9.00 - 16.00
Price
Highlights
- A certificate of completion
- Educational aids: scripts
- Access to specialist magazines and technical literature (regarding stationary training)
- Writing aids (pen, notebook) - regarding stationary training
- Complete care of idividually assigned customer service person
- Participant Cards with discounts to partner restaurants / pubs in Gliwice (regarding stationary training)
Prerequisites
Catering
More information
Contact
Closed trainings
Certificate
More information
Accommodation
Please contact us on:
0048 32 4111 000
info@emt-systems.pl
should you have any questions on the course you have chosen
Course program
- Notation and rounding of measurement results, errors and uncertainties
- General physical condition system
- Influence quantities and their analysis
- Significant and certain digits in measurement results
- Analysis of the spread of multiple measurement results
- Measurement method errors and possibilities of their compensation
- Interpretation of specifications of devices for precise measurements
- Philosophy of constructing statistical programs
- Regularity of actions, selection of terminology, nomenclature, result archiving
- Basic options of a statistical program for data processing
- Calculation arrangement with the use of measurement results
- Selection of forms and parameters for graphs
- Approximation and interpolation of distributed data
- Inference about complementing the research
- Selection of approximating functions
- Spline interpolation
- Calculating measurement uncertainty
- Calculating convolution of distributions, confidence intervals and confidence levels
- Analysis of program calculation limitations
- Compilation of different data according to various models
- Creating uncertainty budgets and inference about improvement of the experiment