Business and data intelligence using SPSS

Key Performance Indication

Data collection

✅Statistical Society
✅Statistical sample and steps for selecting it
✅Types of samples
✅application
✅Data accuracy testing
✅Validity and reliability of the data collection tool
✅Description of data
✅The questionnaire
✅Likert scale for attitudes
✅Ensure the stability and validity of the scale
✅Item statistics
✅Scale statistics
✅Scale correction
✅Introduction to the statistical program SPSS
✅The main windows of the SPSS program
✅Display variables and data on SPSS
✅Display the results on SPSS
✅Application on SPSS
✅Basic tools for processing data in SPSS
✅Questionnaire and its analyzes using SPSS

Tabulate, summarize and organize data

✅Frequency distribution and the mechanism for creating ✅frequency tables
✅Categories and their types
✅Bullish clustered frequency distribution
✅Down clustered frequency distribution
✅Percentile frequency distribution
✅Relative frequency distribution

Eddy Current Testing Level II

✅Demonstrated competence to perform NDT according to Eddy current Testing.
✅Define the limitations of application of the testing method;
✅Translate NDT codes, standards, specifications and procedures into NDT instructions adapted to the actual working conditions;
✅Set up and verify equipment settings;
✅Perform and supervise tests;
✅Interpret and evaluate results according to applicable ✅standards, codes, specifications or procedures;
✅Prepare Eddy Current written instructions
✅Generation of eddy currents by means of an AC field
✅Effect of fields created by eddy currents
✅Effect of change of impedance on instrumentation
✅Principles of magnetization.
✅Flux leakage theory and principle
✅Types of eddy current sensing elements

Magnetic Testing Level I

✅Provides a full appreciation in the techniques and ✅methods of magnetic particle inspection. 
✅Covers the principles of Magnetic Particle Testing 
✅Manufacturing Discontinuities
✅Theory of Magnetism
✅Methods of Magnetization
✅Equipment
✅Mediums and Their Preparation
✅Application
✅Type of Indication
✅Codes and standards
--
✅Graphic display
✅Chart bars
✅Graphic circuit
✅Histogram
✅Frequent polygon
✅Frequency curve
✅Ascending iterative polygon
✅Descending clustered iterative polygon
✅Ascending clustered frequency curve
✅Descending clustered frequency curve
✅Use SPSS to view all previous operations
✅Application of mathematical and statistical equations
✅Practical and mathematical applications through SPSS

Tabulate, summarize and organize data

Term

✅Range for data/values
✅Range for undefined data/values
✅Range properties

Geometric mean
Mediator

✅The median of the nested data/values
✅The median of unnumbered data/values
✅Characteristics and notes on the broker

Arithmetic mean

✅The arithmetic mean of the data/numbered values
✅The arithmetic mean of unspoiled data/values
✅Characteristics of the arithmetic mean

Loom

✅Mode of data/values
✅Mode for undefined data/values
✅Characteristics and notes on the pattern

✅Use SPSS to view all section operations
✅Insert graphs for nominal and quantitative variables
✅Practical and statistical applications through SPSS

Analyze data using measures of dispersion

introduction
Term
Average deviation
✅The mean deviation of the data/normalized values
✅The mean deviation of unnormalized data/values

variance
✅Variance of data/normalized values
✅Variance of unnormalized data/values

standard deviation
✅Standard deviation of data/normalized values
✅tandard deviation of unnormalized data/values

Coefficient of variation
✅The purpose of the coefficient of variation
✅How to use it
✅Use SPSS to view all section operations
✅Practical and statistical applications through SPSS

Statistical relationships and correlation coefficient

✅introduction
✅Statistical relationship and causality
✅The goal of correlation metrics
✅Classification of correlation metrics
✅Linear relationship
✅Pearson correlation coefficient
✅Properties of the correlation coefficient
✅Spearman correlation coefficient
✅Gamma coefficient
✅Lambda correlation coefficient
✅Use SPSS to view all section operations
✅Applications

Using statistical analysis to predict the values ​​of a particular variable based on the values ​​of other variables. Regression analysis

✅Regression
✅Regression coefficient
✅Linear relationship
✅Time series
✅Non-linear relationship
✅Use SPSS to view all section operations
✅Applications

Measurements System Analysis

✅Gauge R&R (repeatability and reproducibility)
✅Repeatability
✅Reproduction
✅Rules of Gauge R&R principle
✅Variation and difference resulting from the screening tool
✅Variation in factor measurement
✅Total variance
✅Steps to apply the Gauge R & R principle
✅Applications