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Title Details:
Statistics and Probability Elements
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.
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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