-
1
A student's guide to data and error analysis /
Table of Contents: “…Combining uncertainties -- Systematic deviations due to random errors -- Characteristic function -- From binomial to normal distributions -- Central limit theorem -- Estimation of th varience -- Standard deviation of the mean -- Weight factors when variances are not equal -- Least squares fitting -- Python codes -- Scientific data.…”
Get full text
Online Book -
2
-
3
Budget Optimization and Allocation.
Table of Contents: “…TEST CASE 3: MEAN AND STANDARD DEVIATION TECHNIQUE.…”
Get full text
Online Book -
4
-
5
A Monograph of the Genus Microtoena (Lamiaceae)
Table of Contents: “…INDEX TO BOTANICAL NAMES AND SYNONYMS -- DATA OF STANDARD DEVIATION ANALYSIS…”
Get full text
Online Book -
6
R data science essentials : learn the essence of data science and visualization using R in no time at all /
Table of Contents: “…Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with R; Reading data from different sources; Reading data from a database; Data types in R; Variable data types; Data preprocessing techniques; Performing data operations; Arithmetic operations on the data; String operations on the data; Aggregation operations on the data; Mean; Median; Sum; Maximum and minimum; Standard deviation; Control structures in R; Control structures -- if and else; Control structures -- for; Control structures -- while…”
Get full text
Online Book -
7
Hands-on exploratory data analysis with Python : perform EDA techniques to understand, summarize, and investigate your data /
Table of Contents: “…Computing indicators/dummy variables -- String manipulation -- Benefits of data transformation -- Challenges -- Summary -- Further reading -- Section 2: Descriptive Statistics -- Chapter 05: Descriptive Statistics -- Technical requirements -- Understanding statistics -- Distribution function -- Uniform distribution -- Normal distribution -- Exponential distribution -- Binomial distribution -- Cumulative distribution function -- Descriptive statistics -- Measures of central tendency -- Mean/average -- Median -- Mode -- Measures of dispersion -- Standard deviation -- Variance -- Skewness…”
Get full text
Online Book -
8
Principles of programming & coding /
Table of Contents: “…3D printing -- Algorithms -- American Standard Code for Information -- Interchange (ASCII) -- Android OS -- Application -- Autonomic computing -- Avatars and simulation -- Binary hexadecimal representations -- Boolean operators -- Branching logic -- Characters and strings -- Cloud computing -- Coding and encryption -- Color coding -- Combinatorics -- Comment programming -- Comparison operators -- Computer animation -- Computer memory -- Computer modeling -- Computer security -- Computer-aided design (CAD) -- Computer-aided design and computer-aided manufacturing software (CAD/CAM) -- Computer-assisted instruction (CAI) -- Conditional operators -- Constraint programming -- Control systems -- Cowboy coding -- CPU design -- Crowdfunding -- Crowdsourcing -- Cryptography -- Data mining -- Data warehouse -- Database design -- Database structuring conventions -- Debugging -- Device drivers -- Diffusion of innovations -- Digital divide -- Digital forensics -- Digital libraries -- Digital native -- Digital photography -- Digital signal processors (DSP) -- Digital watermarking -- Disk operating system (DOS) -- Drone warfare -- Drones -- E-banking -- E-learning -- Electronic circuits -- Electronic communication software -- Encryption -- Error handling -- Event-driven marketing (EDM) -- Expectancy theory -- Experimenter's bias -- Extreme programming -- Firewalls -- Firmware -- Functional electrical stimulation (FES) -- Game programming -- Gamification -- Graphical user interface (GUI) -- Graphics formats -- Guard clause -- HTTP cookie -- Imagined communities -- Incremental development -- Informational technology (IT) -- Information visualization -- Internet Protocol (IP) -- Inversion of control (Hollywood Principle) -- iOS -- Iterative constructs -- Java programming language -- JavaScript -- Knowledge worker -- Levels of processing theory -- Logic synthesis -- Logistics -- Machine learning -- Malware -- Massive open online course (MOOC) -- Meta-analysis -- Metacomputing -- Metadata -- Microprocessors -- Mixed methods research (MMR) -- Mobile apps -- Mobile technology -- Motherboards -- Multiprocessing operating systems (OS) -- Multi-user operating system (OS) -- Naming conventions -- Net neutrality -- Network security -- Neuro-linguistic programming (NLP) -- Neuromarketing -- Neuromorphic chips -- Objectivity -- Object-oriented design (OOD) -- Object-oriented programming (OOP) -- Privacy rights -- Programming languages -- Prototyping -- Quantum computing -- Random access memory (RAM) -- Rapid application development (RAD) -- Rational choice theory -- Search engine optimization (SEO) -- Semantic memory -- Semantics -- Signal processing -- Source code comments -- Spiral development -- Standard deviation -- Standpoint theory -- Statistical inference -- String-oriented symbolic languages (SNOBOL) -- Structural equation modeling (SEM) -- Technology in education -- Test doubles -- Theory of multiple intelligences -- Theory X and Theory Y -- Transformation priority premise (TPP) -- Tree structures -- Turing test -- Uncertainty reduction theory (URT) -- Unicode -- UNIX -- Variables and values -- Waterfall development -- Web design -- Web graphic design -- Working memory -- Worse-is-better -- Time Line of Inventions and Advancements in Programming and Coding.…”
Get full text
Online Book -
9
Advances in environmental research.
Table of Contents: “…Statistical Analysis; 2.7.1. Mean; 2.7.2. Standard Deviation…”
Get full text
Online Book -
10
Data Reduction and Analysis
Table of Contents: “…3.5 Estimates Of Location3.6 Mean; 3.7 Median And Robust Estimates; 3.8 Estimates Of Variability; 3.9 Standard Deviation And Related Estimates; 3.10 Conclusions; Chapter 4 Data Science With Python And R; 4.1 Dataframe; 4.2 Reading The Files; 4.3 Indexing And Slicing; 4.4 Data Selection; 4.5 Function Mapping And Grouping; 4.6 Aggregate; 4.7 Conclusions; Chapter 5 Error Analysis; 5.1 Uncertainties In Data; 5.2 Propagation of Errors; 5.3 Conclusions; Chapter 6 Principal Component Analysis; 6.1 Preparing Our TB Data; 6.2 Using R For PCA; 6.3 Exploring Data Structure With K-Means Clustering…”
Get full text
Online Book -
11
Mathematical understanding for secondary teaching : a framework and classroom-based situations /
Table of Contents: “…Kathleen Heid, Laura Singletary, and Sarah Donaldson -- Representing Standard Deviation: Situation 39 From the MACMTL-CPTM Situations Project / Rose Mary Zbiek, M. …”
Get full text
Online Book -
12
-
13
-
14