1. INTRODUCTION

1.1. Deductive and Inductive Reasoning
1.2. Designing of scientific research
1.3. Hipothesis and data analysis

2. ERROR THEORY

2.1. Error sources
2.2. The classification of errors
2.3. Class of inaccuracy
2.4. Reasoning in the theory of errors
2.5. The practical calculation of errors
2.6. Error function

3. ELEMENTS OF STATISTICS

3.1. Fundamental terms
3.2. Selected probability distributions
3.2.1. Poisson distribution
3.2.2. Gamma distribution
3.2.3. Normal (Gauss) distribution
3.2.4. Chi-square distribution
3.2.5. Student's t distribution
3.2.6. Snedecor's F distribution
3.3. Statistical hipothesis
3.4. Estimators

4. STATISTICAL HYPOTHESIS TESTING

4.1. Terms and definitions
4.2. Parametrical tests
4.3. Non-parametrical tests

5. ANALYSIS OF THE VARIANCE

5.1. Introduction
5.2. One-factorial experiment
5.3. Two-factorial experiment
5.4. Latin square schema LQ-.R (N=1) III

6. MANAGEMENT OF DATA

6.1. Untypical observations
6.2. Thick Error Law
6.3. Dixon's test
6.4. Grubbs' test
6.5. Youden test
6.6. Cochran's test
6.7. Hartley's test

7. CORRECTING MEASUREMENTS' PRECISION

8.1. Basic terms
8.2. Increasing the number of measurements
8.3. The choice of interactions
8.4. Improvement of the measurement technique
8.5. Selection of experimental material
8.6. The selection and construction of measuring instruments
8.7. Selection of the experimental scheme - Initial and group experiments
8.8. Analysis of covariance
8.9. Boundary possibilities of measurements

8. CORRELATION AND REGRESSION

8.1. Basic concepts
8.2. Correlation diagram and correlation table
8.3. Regression for two variables
8.4. Correlation and regression for many variables
8.5. Regression curves

9. ESTIMATION THEORY

9.1. Mathematical model of phenomenon.
9.2. Maximum likelihood method
9.3. Least square method

10. PRESENTATION OF THE DATA

10.1. Graphical presentation of the data10.2. Interpolation and extrapolation
10.3. Preaparing reports
10.4. Preparing scientific publication