Fundamental Statistical Concepts

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Fundamental Statistical Concepts And Techniques In The Biological And Environmental Sciences

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Author : A. Bradley Duthie
language : en
Publisher: CRC Press
Release Date : 2024-10-08

Fundamental Statistical Concepts And Techniques In The Biological And Environmental Sciences written by A. Bradley Duthie and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Mathematics categories.

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is an introductory textbook for learning statistics. It starts with the very basics and prioritises helping the reader to develop a conceptual understanding of statistics, and apply the most fundamental statistical tools. New concepts are introduced with examples designed to be familiar to the reader, serving as a useful starting point for exploring more abstract concepts. Key Features: Designed to be accessible for students learning statistics in biological and environmental sciences. Utilizes the statistical software jamovi to explore new concepts. Prioritizes good statistical judgement over adherence to protocols. This book will be useful to students beginning their study of statistical concepts in biological and environmental sciences, whilst also acting as an insightful resource for teachers using jamovi in the classroom. Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is a valuable resource for anyone who wishes to understand and apply statistical techniques commonly used in the biological and environmental sciences.

Fundamental Statistical Concepts

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Author : Frederic E. Fischer
language : en
Publisher:
Release Date : 1973

Fundamental Statistical Concepts written by Frederic E. Fischer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Mathematics categories.

Discriptive statistics; Describing ungrouped data; Methods of grouping data; Describing grouped data; regression; Probability; Fundamental concepts of probability; Discrete probability functions; Continuous probability Functions; Statistical Inference; Sampling Estimation and hypothesis testing; Classical significance tests; Distribution - free significance tests.

Basic Statistical Concepts

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Author : Albert E. Bartz
language : en
Publisher: Prentice Hall
Release Date : 1999

Basic Statistical Concepts written by Albert E. Bartz and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Mathematical statistics categories.

Designed to help readers avoid "statistics anxiety," this introduction to basic statistics uses simplified language and presents concepts in a logical progression that allows readers to master simple tasks as they build the skills necessary to tackle more complex concepts. Includes, for each concept, Research Scenarios, familiar illustrations of the concept, formulas that define or demonstrate the concept, computational formulas, worked examples, and applications, and limitations of the concept. Incorporates computer examples (SPSS) throughout. Covers frequency distributions and graphical methods; central tendency; variability; the normal curve; sampling theory for hypothesis testing; correlation; prediction and regression; the significance of the difference between means; decision making, power, and effect size; one-way analysis of variance; two-way analysis of variance; and nonparametric statistical tests. For those in the education and the behavioral sciences who need an introduction to statistics.

Essential Statistical Concepts

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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-03-07

Essential Statistical Concepts written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Mathematics categories.

In a world awash with data, statistics has emerged as a beacon of clarity, illuminating patterns and uncovering hidden truths. Embark on a captivating journey into the realm of statistics with Essential Statistical Concepts, a comprehensive guide that unveils the secrets of data analysis and equips you with the tools to make sense of the world around you. Delve into the fundamental concepts of statistics, gaining an understanding of different data types, descriptive statistics, and probability. Discover the power of inferential statistics, learning how to draw informed conclusions from limited data and make predictions with confidence. Explore regression analysis, a technique for uncovering relationships between variables and making accurate forecasts. With Essential Statistical Concepts, you'll unravel the complexities of time series analysis, unlocking the secrets of temporal data patterns. Delve into statistical quality control, ensuring product quality and continuous improvement. Embrace the Bayesian approach to statistics, a unique perspective that incorporates uncertainty and updates beliefs with new information. Unlock the potential of data mining, extracting valuable insights from vast datasets. Navigate the ethical landscape of statistics, understanding the importance of data privacy, confidentiality, and avoiding bias. As you delve deeper into the world of statistics, you'll discover its profound impact on society, shaping policies, driving innovation, and informing decisions. Whether you're a student seeking a deeper understanding of statistics, a professional seeking to enhance your data analysis skills, or simply someone curious about the world around you, Essential Statistical Concepts is your ultimate guide to unlocking the power of data. With clear explanations, real-world examples, and thought-provoking exercises, this book will transform you from a data novice to a statistical master. If you like this book, write a review!

Essential Statistical Concepts For The Quality Professional

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Author : D. H. Stamatis
language : en
Publisher: CRC Press
Release Date : 2012-05-02

Essential Statistical Concepts For The Quality Professional written by D. H. Stamatis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-02 with Business & Economics categories.

The essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This means not only do we have to fix the problem at hand but we also have to identify why the failure occurred and what was the opportunity to apply the appropriate knowledge to avoid the problem in the future. Essential Statistical Concepts for the Quality Professional offers a new non-technical statistical approach to quality for effective improvement and productivity by focusing on very specific and fundamental methodologies and tools for the future. Written by an expert with more than 30 years of experience in management, quality training, and consulting, the book examines the fundamentals of statistical understanding, and by doing so demonstrates the importance of using statistics in the decision making process. The author points out pitfalls to keep in mind when undertaking an experiment for improvement and explains how to use statistics in improvement endeavors. He discusses data interpretation, common tests and confidence intervals, and how to plan experiments for improvement. The book expands the notion of experimentation by dealing with mathematical models such as regression to optimize the improvement and understand the relationship between several factors. It emphasizes the need for sampling and introduces specific techniques to make sure accuracy and precision of the data is appropriate and applicable for the study at hand. The author’s approach is somewhat new and unique; however, he details tools and methodologies that can be used to evaluate the system for prevention. These tools and methodologies focus on structured, repeatable processes that can be instrumental in finding real, fixable causes of the human errors and equipment failures that lead to quality issues.

Experimental Statistics Basic Statistical Concepts And Standard Techniques For Analysis And Interpretation Of Measurement Data

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Author : Mary Gibbons Natrella
language : en
Publisher:
Release Date : 1963

Experimental Statistics Basic Statistical Concepts And Standard Techniques For Analysis And Interpretation Of Measurement Data written by Mary Gibbons Natrella and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1963 with Experimental design categories.

Statistical Concepts And Procedures

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Author : Harry H. Ku
language : en
Publisher:
Release Date : 1968

Statistical Concepts And Procedures written by Harry H. Ku and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Calibration categories.

Basic Statistical Concepts

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Author : Joe Kennedy Adams
language : en
Publisher:
Release Date : 1955

Basic Statistical Concepts written by Joe Kennedy Adams and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1955 with Statistics categories.

35 Key Statistics Concepts Explained In 7 Minutes Each

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Author : Nietsnie Trebla
language : en
Publisher: Shelf Indulgence
Release Date :

35 Key Statistics Concepts Explained In 7 Minutes Each written by Nietsnie Trebla and has been published by Shelf Indulgence this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

35 Key Statistics Concepts Explained in 7 Minutes Each Unlock the intriguing world of statistics with 35 Key Statistics Concepts Explained in 7 Minutes Each. This concise and accessible guide is designed for anyone—from students to professionals—who wants to grasp essential statistical concepts quickly and effectively. Each chapter dives into a core topic, breaking down complex ideas into digestible pieces that can be read in just seven minutes. Book Overview Statistics can often feel overwhelming, but this book makes it manageable and fun. Each of the 35 chapters is crafted to provide a clear and straightforward explanation of crucial statistical principles, accompanied by practical examples. Whether you're honing your analytical skills, preparing for a test, or simply looking to understand data in today’s information age, this book has you covered. Contents: - Introduction to Statistics: Get grounded in the basics. - Descriptive Statistics: Measures of Central Tendency: Learn how to summarize data with mean, median, and mode. - Descriptive Statistics: Measures of Dispersion: Understand variance, standard deviation, and range. - Understanding Populations and Samples: Differentiate between entire groups and subsets. - Types of Data: Qualitative vs Quantitative: Identify and categorize data types. - Probability Basics: Definitions and Rules: Master the foundational principles of probability. - Conditional Probability and Independence: Explore how events influence one another. - Random Variables and Probability Distributions: Delve into the building blocks of statistical analysis. - The Normal Distribution: Key Properties: Discover the significance of the bell curve. - The Central Limit Theorem: Understand why it matters in statistics. - Hypothesis Testing: Concepts and Steps: Learn to formulate and evaluate hypotheses. - Type I and Type II Errors: Explore the risks of statistical testing. - P-values and Significance Levels: Decipher the meaning behind statistical significance. - Confidence Intervals: Estimation Techniques: Learn how to measure uncertainty. - t-Tests vs. z-Tests: Know when to use each method. - ANOVA: Analysis of Variance: Compare multiple groups effectively. - Correlation vs. Causation: Discern the difference in relationships. - Linear Regression: Fundamentals: Understand how to model relationships between variables. - Multiple Regression Analysis: Expand your regression skills. - Chi-Square Tests for Independence: Analyze categorical data relationships. - Non-Parametric Tests: When and Why: Discover alternatives to traditional methods. - Understanding Statistical Power: Get insight into test sensitivity. - Using Statistical Software: An Overview: Familiarize yourself with essential tools. - Data Visualization Techniques: Communicate data effectively. - Sampling Methods: Techniques and Biases: Learn about data collection strategies. - Time Series Analysis Basics: Understand trends over time. - Survival Analysis: Introduction: Explore techniques for time-to-event data. - Bayesian Statistics: Principles and Applications: Enter the world of Bayesian thinking. - Ethics in Statistics: Data Integrity: Recognize the importance of ethics in data handling. - Sampling Distributions: Theoretical Framework: Grasp foundational statistical theories. - Quantifying Uncertainty: Error Analysis: Learn about measuring and reporting error. - Exploratory Data Analysis (EDA): Discover methods to uncover insights from data. - Machine Learning Basics for Statisticians: Bridge the gap between statistics and ML. - Statistical Modeling: Concepts and Procedures: Develop effective statistical models. - Causal Inference: Techniques and Challenges: Understand causality in statistics. - Big Data in Statistics: Opportunities and Pitfalls: Navigate the complexities of large datasets. With 35 Key Statistics Concepts Explained in 7 Minutes Each, you'll build a strong foundation in statistics that will empower you to analyze, interpret, and leverage data in your personal and professional life. Perfect for quick study sessions or as a reference guide, this book is your gateway to statistical literacy.

Fundamental Concepts For New Clinical Trialists

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Author : Scott Evans
language : en
Publisher: CRC Press
Release Date : 2015-11-04

Fundamental Concepts For New Clinical Trialists written by Scott Evans and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-04 with Mathematics categories.

Fundamental Concepts for New Clinical Trialists describes the core scientific concepts of designing, data monitoring, analyzing, and reporting clinical trials as well as the practical aspects of trials not typically discussed in statistical methodology textbooks. The first section of the book provides background information about clinical trials. I