S7-300/400
MITSUBISHI 
AP1
Descriptive statistics
Course aims:
- Acquiring the knowledge on the methods of inference based on the results observed in the sample
- Selection of data sources and indication of the proper of statistical inference procedures
- Presentation and interpretation of the obtained results
- Recognizing the possibilities of practical application of statistics in the decision-making process
Course type
Closed training
Course level
AP1
Duration
2 days
Prerequisites
General technical knowledge
Location
The Engineering Training Center or the client company
See the laboratory
See the laboratory
Dates
Terms, costs of participation, location and training program are being set individually with the customer
Schedule
day 1 h. 9.00 - 16.00
day 2 h. 9.00 - 16.00
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)
Catering
Participants of training courses at our center receive unlimited access to the Cechownia Cafe coffee bar and a two-course lunch.
More information
More information
Contact
Closed trainings
This course is also available as a closed training where the dates, price, locations and the content is settled individually with the Client.
Certificate
After completing the training, each participant receives a personalized bilingual certificate that descriptively confirms the acquired skills in accordance with the PN-EN ISO 9001:2015 quality management system implemented at EMT-SYSTEMS Sp. z o.o., supervised and certified by TUV Nord Polska.
More information
More information
Accommodation
List of hotels near the training location
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
- Notions of a random variable, probability distribution, probability density function, distributive function.
- Descriptive parameters of probability distribution of a random variable.
- Selected probability distributions of a random variable.
- Sample and its characteristics, methods of selecting samples.
- Estimators and their characteristics.
- Point estimation and interval estimation. Notions of a confidence interval, confidence level.
- Interpretation of the results of point and interval estimation.
- Verification of statistical hypotheses.
- Analysis of the interdependence of marks in a population: correlation, correlation coefficient.
- Regression analysis.
- Elements of statistics in quality systems.
- The application of mathematical statistics and the selected implementing tools used in statistical inference.
