CHAPTER 1. EXPERIMENTAL BACKGROUND AND BASIC CONCEPTS

1981 ◽  
pp. 1-32
Keyword(s):  
Basic Concepts ◽  
Experimental Background

1. Introduction

2021 ◽  
pp. 1-26
Author(s):  
Andrew L-T Choo
Keyword(s):  
Human Rights ◽  
Direct Evidence ◽  
Circumstantial Evidence ◽  
Law Reform ◽  
Human Rights Act ◽  
Human Rights Act 1998 ◽  
Basic Concepts ◽  
The Law ◽  
Law Of Evidence

Chapter 1 examines a number of basic concepts and distinctions in the law of evidence. It covers facts in issue and collateral facts; relevance, admissibility, and weight; direct evidence and circumstantial evidence; testimonial evidence and real evidence; the allocation of responsibility; exclusionary rules and exclusionary discretions; free(r) proof; issues in criminal evidence; civil evidence and criminal evidence; the implications of trial by jury; summary trials; law reform; and the implications of the Human Rights Act 1998. This chapter also presents an overview of the subsequent chapters.

1. Introduction

Evidence ◽  
2018 ◽  
Author(s):  
Andrew L-T Choo
Keyword(s):  
Human Rights ◽  
Direct Evidence ◽  
Circumstantial Evidence ◽  
Law Reform ◽  
Human Rights Act ◽  
Human Rights Act 1998 ◽  
Basic Concepts ◽  
The Law ◽  
Law Of Evidence

Chapter 1 examines a number of basic concepts and distinctions in the law of evidence. It covers facts in issue and collateral facts; relevance, admissibility, and weight; direct evidence and circumstantial evidence; testimonial evidence and real evidence; the allocation of responsibility; exclusionary rules and exclusionary discretions; free(r) proof; issues in criminal evidence; civil evidence and criminal evidence; the implications of trial by jury; summary trials; law reform; and the implications of the Human Rights Act 1998. This chapter also presents an overview of the subsequent chapters.

Biostatistics 1: Basic Concepts

2010 ◽  
pp. 3-11
Author(s):  
M. Hassan Murad ◽  
Qian Shi
Keyword(s):  
Odds Ratio ◽  
Sampling Error ◽  
Interval Estimation ◽  
Point Estimation ◽  
Descriptive Data ◽  
Sample Size Calculations ◽  
Measures Of Dispersion ◽  
Basic Concepts ◽  
Error Bias

Chapter 1 reviews basic concepts of biostatistics. Topics include descriptive data, probability and odds, estimation and sampling error, hypothesis testing, and power and sample size calculations. The discussion of descriptive data includes types of data (discrete vs continuous and nominal vs ordinal), central tendency (mean, median, and mode), skewed distributions, and measures of dispersion (range, variance, standard deviation). Probability and odds are broken down into laws of probability, odds, odds ratio, relative risk, and probability distribution. The examination of estimation and sampling error covers concepts such as random error, bias, standard error, point estimation, and interval estimation.

Introduction for Instructors

2021 ◽  
pp. 3-6
Author(s):  
Rhoda Olkin
Keyword(s):  
Basic Concepts ◽  
Visible Disabilities

Chapter 1 seeks to empower instructors who may not have taught about disability previously. This book is for instructors of various types of undergraduate and graduate classes. The chapter addresses the rationale and goals for this book. It gives an outline of the book, describes the overall goals of the activities, and the audience for the book. This chapter covers basic concepts like language, intersectionality, and hidden and visible disabilities and gives the rationale for doing the activities in this book. It can be tempting to simply state directions, give handouts, and let students do the activities. However, as with most homework, clear guidance increases the value.

scholarly journals Systemic Approach to Decision Making

2017 ◽  
pp. 1-16
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Qualitative Evaluation ◽  
Systemic Approach ◽  
Multicriteria Decision ◽  
Decision Making Problem ◽  
Method Of Solution ◽  
Basic Concepts

Chapter 1 describes the basic concepts and definitions of the theory of decision-making. A general formulation of the problem of decision-making is given. Contents of the problem and multicriteria decision-making problem have been considered. Statement of the problem is formulated. The method of solution is proposed. Qualitative evaluation of alternatives method is reviewed. Illustrative example is given.

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