Title Details: | |
Statistics and Probability Elements |
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Other Titles: |
Introductory approach to theory and applications |
Authors: |
Zografos, Konstantinos Tsairidis, Charalampos |
Subject: | MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > PARAMETRIC INFERENCE MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > STATISTICS > LINEAR INFERENCE, REGRESSION MEDICINE AND HEALTH SCIENCES, LIFE SCIENCES, BIOLOGICAL SCIENCES > LIFE SCIENCES > BIOMATHEMATICS > BIOSTATISTICS MEDICINE AND HEALTH SCIENCES, LIFE SCIENCES, BIOLOGICAL SCIENCES > LIFE SCIENCES > SPORT AND ATHLETIC SCIENCE / PHYSICAL EDUCATION AND SPORT SCIENCE > STATISTICS IN SPORTS LAW AND SOCIAL SCIENCES > PSYCHOLOGY > PSYCHOMETRICS, EVALUATION, MEASUREMENT AND STATISTICS > STATISTICS AND MATHEMATICS LAW AND SOCIAL SCIENCES > SOCIOLOGY > METHODOLOGY AND RESEARCH TECHNOLOGY > STATISTICAL METHODS MATHEMATICS AND COMPUTER SCIENCE > MATHEMATICS > PROBABILITY THEORY AND STOCHASTIC PROCESSES > FOUNDATIONS OF PROBABILITY THEORY |
Keywords: |
Statistical data
Scales of measurement Population Sample Variable Confidence intervals for percentages Statistical test Statistical test for percentages Test of independence Correlation Two way analysis of variance Scatter plot Statistical data analysis Pearson’s correlation coefficient Sampling Simple linear regression Least squares estimators Analysis of Variance Table Least significant difference Coefficient of determination One way analysis of variance Multiple comparisons Statistics tables Sampling techniques Frequency tables Histogram Random experiment Frequency polygon Sampling mean Median Sampling variance Measures of skewness and kurtosis Standard deviation Coefficient of variation Event Percentiles Quartiles Sample space Operations on events Classical definition of probability Permutation Probability function Arrangement Combination Multinomial coefficient Conditional probability Random variable Independent events Multiplication Principle of Probability Variance Total Probability Theorem Bayes’ rule or Bayes’ Law Mean or expected value Moments Coefficient of skewness and kurtosis Binomial distribution Statistical test for normal distribution parameters Normal distribution Population and sample characteristics Statistical Inference Point estimation Type I and II error Confidence interval Confidence intervals for normal distribution parameters Contingency tables |
Description: | |
Abstract: |
This book attempts an introduction to the most basic topics of Probability and Statistics, without requiring prior knowledge of these topics. Thus, intuition plays a primary role in the introduction of concepts and the development of methodology. Mathematical rigor is maintained wherever possible. In this context, the book consists of ten chapters, in which the most basic concepts and methodologies of Probability and Statistics unfold. In the last chapter, a recapitulation-epilogue of the book is attempted in which the methodologies of the previous chapters are applied and data and examples presented in them are analyzed with the help of the SPSS statistical package. This book was written to serve as an introductory aid for all those who wish to acquire an introductory knowledge of the most basic concepts and methodologies of Probability Theory and Statistics. The methodology is introduced, structured, developed and justified in an intuitive way, with the help of an example. The usual mathematical-formalistic formulation of the statistical model is not followed; it is presented with its intuitive perspective. Thus, although the book aims mainly to an audience with limited mathematical knowledge, it can also be used by an audience which is focused on mathematical science or the natural sciences in general, since the intuitive presentation of concepts and methodologies, which are followed in this book, may help to better understand them. This book, in no way, aspires to replace valuable books that are available in the Greek and international bibliography, some of which are mentioned in the recommended bibliography of the Chapters as well as in the overall recommended bibliography at the end of the book. It aspires to present the topics on which it focuses with the "language" of the authors, as it was formed and evolved from the many years of teaching of these topics to large audiences of students who focused their interest on various cognitive and research objects.
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Linguistic Editors: |
Vasiliki, Tiraidi |
Graphic Editors: |
Kotzampasi, Dora |
Type: |
Undergraduate textbook |
Creation Date: | 03-10-2024 |
Item Details: | |
ISBN |
978-618-228-112-3 |
License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
DOI | http://dx.doi.org/10.57713/kallipos-346 |
Handle | http://hdl.handle.net/11419/10813 |
Bibliographic Reference: | Zografos, K., & Tsairidis, C. (2024). Statistics and Probability Elements [Undergraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-346 |
Language: |
Greek |
Consists of: |
1. Introduction 2. Descriptive Statistics 3. Numerical measures 4. Elements of Probability Theory 5. Random variables and probability distributions 6. Statistical Inference – Point estimation and confidence intervals 7. Testing Statistical Hypotheses 8. Correlation and Regression between two variables 9. One way and two way Analysis of Variance 10. Statistical Data Analysis |
Number of pages |
368 |
Publication Origin: |
Kallipos, Open Academic Editions |
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