1) The document summarizes key concepts from Chapter 3 of an introduction to business statistics textbook, including measures of central tendency (mean, median, mode), dispersion (range, variance, standard deviation), and relative position (quartiles).
2) It provides examples of how to calculate and interpret these statistical measures using sample business data on truck shipments.
3) The chapter objectives are to describe and analyze data using these measures, visually represent data, and use correlation to measure relationships between variables.
Central tendency and how to measure the dispersions.
Explaining the working of the most common central methods like mean, median, mode and how it can help in dealing with our data.
here we are going to talk about different types of central tendency.Then different types of dispersions
Exploring Measures of Central Tendency
In this presentation, we delve into the fundamental concept of Measures of Central Tendency. These statistical tools - Mean, Median, and Mode - are at the heart of data analysis, guiding us to understand where the center of our data lies.
We explore each measure's definition and its unique role in analyzing data. Learn when to wisely apply mean, median, or mode based on your data's distribution. Discover the real-life applications that make these concepts crucial in various industries.
By grasping the significance of central tendency, you'll be better equipped to make informed decisions and draw meaningful conclusions from your data. Join the discussion and deepen your understanding of these fundamental statistical tools.
Central tendency and how to measure the dispersions.
Explaining the working of the most common central methods like mean, median, mode and how it can help in dealing with our data.
here we are going to talk about different types of central tendency.Then different types of dispersions
Exploring Measures of Central Tendency
In this presentation, we delve into the fundamental concept of Measures of Central Tendency. These statistical tools - Mean, Median, and Mode - are at the heart of data analysis, guiding us to understand where the center of our data lies.
We explore each measure's definition and its unique role in analyzing data. Learn when to wisely apply mean, median, or mode based on your data's distribution. Discover the real-life applications that make these concepts crucial in various industries.
By grasping the significance of central tendency, you'll be better equipped to make informed decisions and draw meaningful conclusions from your data. Join the discussion and deepen your understanding of these fundamental statistical tools.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
2. Introduction
• Covers numerical measures used as
descriptive statistics
• Box plots (a.k.a. box-and-whisker plots)
are introduced (separate vignette)
• Not all topics in the text will be covered
in this vignette
4. Shape – Center - Spread
• When we gather data, we want to uncover the
“information” in it. One easy way to do that is to
think of: “Shape –Center- Spread”
• Shape – What is the shape of the histogram?
• Center – What is the mean or median?
• Spread – What is the range or standard
deviation?
• Chapter 2 was the graphical approach
• Chapter 3 uses numerical measures
13. Shape: The “shape” of the data is
called its “distribution”?
• If mean = median = mode, the shape of the
distribution is symmetric.
• If mode < median < mean, the shape of the
distribution trails to the right, is positively skewed.
• If mean < median < mode, the shape of the
distribution trails to the left, is negatively skewed.
• Distributions of various “shapes” have different
properties and names such as the “normal”
distribution, which is also known as the “bell
curve” (among mathematicians it is called the
Gaussian Distribution).