This document provides an overview of how to model and solve linear programming (LP) problems using spreadsheets. It discusses the steps to implement an LP model in a spreadsheet, including organizing the data, reserving cells for decision variables, and creating formulas for the objective function and constraints. The document then provides examples of modeling various LP problems, such as production planning, transportation, and blending, in spreadsheets. Guidelines for effective spreadsheet design to ensure communication, reliability, auditability and modifiability are also presented.
This document provides instructions on how to model and solve linear programming problems in a spreadsheet using Excel's Solver tool. It begins with an introduction to LP problems and why spreadsheets are useful when there are more than two decision variables. It then explains how to access and enable the Solver add-in. The document outlines the steps to implement an LP model in a spreadsheet, including organizing the data, designating cells for decision variables and objectives/constraints. Finally, it provides examples of modeling different classic LP problems like resource allocation, transportation, and investment planning.
The document describes an optimization model for a ski manufacturing company to determine the optimal daily production quantities of two ski models. The model seeks to maximize total profit by setting the decision variables of Jordanelle and Deercrest skis produced per day, subject to constraints on available labor hours in fabrication and finishing departments and a market mixture requirement. The summary provides the key steps to formulate the linear optimization model mathematically.
The document provides information about solving linear programming problems using Excel Solver. It begins with Excel terminology and functions used in linear programming like cells, references, and SUMPRODUCT. It then demonstrates how to activate and use Solver by entering data, recording parameters, and solving a sample production scheduling problem to maximize profit. The optimal solution and sensitivity analysis are examined to determine how changes affect the optimal solution.
The document introduces operations research and linear programming, which are used to optimize the allocation of limited resources. It provides examples of optimization problems that have decision variables, constraints, and objectives. It also explains how to formulate optimization problems mathematically as linear programs by defining the decision variables, objective function, and constraints.
The document provides an example of using linear programming to solve an optimization problem for a machine shop owner. It outlines the constraints on machine time, raw materials, and labor and calculates the contribution per unit for two products. It then formulates the problem as a linear programming model to determine the number of each product to maximize total contribution. The summary formulates the optimization problem to determine how many of each type of coffee table a furniture company should produce to maximize contribution subject to capacity constraints on cutting, assembly and finishing hours and minimum demand for small tables.
The document provides an example of using linear programming to solve an optimization problem for a machine shop owner. It outlines maximizing contributions by determining the optimal number of units to produce of two products (A and B) given constraints on machine time, raw materials, and labor available. It presents the linear programming formulation and solution showing the feasible region and optimal point that maximizes total contribution. The document also provides another example of using the simplex method to solve a multi-variable optimization problem for a furniture company to maximize total contribution under constraints.
The document provides an example of using linear programming to solve an optimization problem for a machine shop owner. It outlines maximizing contributions by determining the optimal number of units to produce of two products (A and B) given constraints on machine time, raw materials, and labor available. It presents the linear programming formulation and solution showing the feasible region and optimal point that maximizes total contribution. The document also provides another example of using the simplex method to solve a multi-variable optimization problem for a furniture company to maximize total contribution under constraints.
Can Machine Learning Models be Trusted? Explaining Decisions of ML ModelsDarek Smyk
The more we involve Artificial Intelligence/Machine Learning in our daily lives, the more we need to be able to trust the decisions that the AI/ML systems make. Providing explanations along with decisions may help establish that trust.
This document provides instructions on how to model and solve linear programming problems in a spreadsheet using Excel's Solver tool. It begins with an introduction to LP problems and why spreadsheets are useful when there are more than two decision variables. It then explains how to access and enable the Solver add-in. The document outlines the steps to implement an LP model in a spreadsheet, including organizing the data, designating cells for decision variables and objectives/constraints. Finally, it provides examples of modeling different classic LP problems like resource allocation, transportation, and investment planning.
The document describes an optimization model for a ski manufacturing company to determine the optimal daily production quantities of two ski models. The model seeks to maximize total profit by setting the decision variables of Jordanelle and Deercrest skis produced per day, subject to constraints on available labor hours in fabrication and finishing departments and a market mixture requirement. The summary provides the key steps to formulate the linear optimization model mathematically.
The document provides information about solving linear programming problems using Excel Solver. It begins with Excel terminology and functions used in linear programming like cells, references, and SUMPRODUCT. It then demonstrates how to activate and use Solver by entering data, recording parameters, and solving a sample production scheduling problem to maximize profit. The optimal solution and sensitivity analysis are examined to determine how changes affect the optimal solution.
The document introduces operations research and linear programming, which are used to optimize the allocation of limited resources. It provides examples of optimization problems that have decision variables, constraints, and objectives. It also explains how to formulate optimization problems mathematically as linear programs by defining the decision variables, objective function, and constraints.
The document provides an example of using linear programming to solve an optimization problem for a machine shop owner. It outlines the constraints on machine time, raw materials, and labor and calculates the contribution per unit for two products. It then formulates the problem as a linear programming model to determine the number of each product to maximize total contribution. The summary formulates the optimization problem to determine how many of each type of coffee table a furniture company should produce to maximize contribution subject to capacity constraints on cutting, assembly and finishing hours and minimum demand for small tables.
The document provides an example of using linear programming to solve an optimization problem for a machine shop owner. It outlines maximizing contributions by determining the optimal number of units to produce of two products (A and B) given constraints on machine time, raw materials, and labor available. It presents the linear programming formulation and solution showing the feasible region and optimal point that maximizes total contribution. The document also provides another example of using the simplex method to solve a multi-variable optimization problem for a furniture company to maximize total contribution under constraints.
The document provides an example of using linear programming to solve an optimization problem for a machine shop owner. It outlines maximizing contributions by determining the optimal number of units to produce of two products (A and B) given constraints on machine time, raw materials, and labor available. It presents the linear programming formulation and solution showing the feasible region and optimal point that maximizes total contribution. The document also provides another example of using the simplex method to solve a multi-variable optimization problem for a furniture company to maximize total contribution under constraints.
Can Machine Learning Models be Trusted? Explaining Decisions of ML ModelsDarek Smyk
The more we involve Artificial Intelligence/Machine Learning in our daily lives, the more we need to be able to trust the decisions that the AI/ML systems make. Providing explanations along with decisions may help establish that trust.
beyond linear programming: mathematical programming extensionsAngelica Angelo Ocon
This document discusses integer programming and binary integer programming. Integer programming involves decision variables that must take on integer values. Binary integer programming uses binary variables that can only be 0 or 1. Examples show how to formulate integer programming models using binary variables to represent yes/no decisions and constraints. The key aspects of integer programming are ensuring decision variables are integers and that the optimal solution is also integer.
1. Optimization methods are used widely in business, industry, government and engineering to solve problems involving optimal allocation of limited resources. Many optimization techniques originated during World War II to improve war efforts.
2. A linear programming problem aims to maximize or minimize a linear objective function subject to linear constraints. It has various applications including production scheduling, transportation routing, and cutting stock problems.
3. The document provides an example of using a linear programming model to maximize profits for a pottery company by determining the optimal product mix given constraints on available labor hours and clay materials. Decision variables, objective function, and constraints are defined to formulate the mathematical model.
The document discusses operations research (OR), including its origins in the 1800s and widespread use during World War II. It describes the characteristics and scope of OR, which involves using interdisciplinary teams and quantitative methods to improve decision-making. Examples of OR applications include production scheduling, resource allocation, transportation optimization, and more. The objectives and typical phases of an OR study are also outlined.
This document discusses goal programming and its formulation and graphical solution. It describes goal programming as a method to solve linear programs with multiple objectives, with each objective viewed as a goal. Deviation variables are used to represent how much a goal is overachieved or underachieved. The goals are added to the constraint set and solved in priority sequence to minimize deviations. The document provides an example of using goal programming to solve a multi-criteria production planning problem at a computer company. It also describes using a scoring model to help a student choose between job offers by assigning weights and ratings to different selection criteria.
The document provides information about solving a linear programming problem to maximize profits for a swimwear manufacturing company called Super Swim. The company makes two products - shorts and briefs - and wants to determine the optimal production quantities of each given material, labor, and other constraints. The summary is:
1. Super Swim manufactures shorts and briefs and wants to determine the optimal production quantities of each to maximize profits within material, labor, and other constraints.
2. The decision variables are the number of shorts (S) and briefs (B) to produce. The objective is to maximize total profit, which is a linear function of S and B.
3. The constraints include limits on available material
This document discusses several applications of linear programming (LP) models. It provides examples of how LP can be used to help with marketing applications like media mix optimization and marketing research sampling strategies. Manufacturing applications covered include production mix planning to maximize profit given material and demand constraints, and multi-period production scheduling to minimize total costs considering factors like inventory, labor hours, and warehouse space. The document provides detailed examples and mathematical formulations of LP models for a gambling club's advertising, a research firm's survey sample, and a manufacturer's product mix and production scheduling.
Linear programming is an optimization method that allocates scarce resources in the best way subject to constraints. It can be used to maximize profit, revenue, or minimize costs. A linear programming model specifies an objective function and constraints that are linear relationships. The objective is to find the optimal solution that satisfies all constraints. Graphical and algebraic solution methods can be used to solve linear programming problems. The graphical method plots the constraints and finds the optimal solution at an intersection point.
Biosight: Quantitative Methods for Policy Analysis - Introduction to GAMS, Li...IFPRI-EPTD
This document summarizes key topics covered on Day 1 of training, including an introduction to GAMS, linear programming, and positive mathematical programming (PMP). It provides examples of specifying linear programming problems for profit maximization and calculating dual values. It then discusses limitations of linear programming and introduces the PMP method to calibrate models to observed data through the introduction of nonlinear cost functions. The stages of PMP calibration are outlined using single-crop and two-crop examples.
Bba 3274 qm week 10 integer programmingStephen Ong
This document discusses integer programming and various types of integer programming problems that commonly arise in business. It provides an example of a pure integer programming problem involving production planning at a company that makes chandeliers and ceiling fans. The document also discusses mixed-integer programming problems and modeling problems using 0-1 variables, providing examples for capital budgeting and facility location problems. Various software packages are demonstrated for solving integer programming problems.
Uniformity in mechanical properties of the slab affects quality of subsequent rolling process. One of the most important factors deciding quality of the slab is fluctuation of the molten steel level in the mould. That is, smoothing pouring without fluctuating in the mould level means improvement in quality of the slab and protects break-out problem and allows high speed casting process. If molten steel surface fluctuates severely, the forming oscillation marks on the slab is unstable, solidification of molten steel is not uniform and there will be entrapment of mould powder in the solidified cast strand. It makes quality of the slab inferior and generates defects on the slab.
The document discusses linear programming problems and how to formulate them. It provides definitions of key terms like linear, programming, objective function, decision variables, and constraints. It then explains the steps to formulate a linear programming problem, including defining the objective, decision variables, mathematical objective function, and constraints. Several examples of formulated linear programming problems are provided to maximize profit or minimize costs subject to various constraints.
Model Presolve, Warmstart and Conflict Refining in CP OptimizerPhilippe Laborie
The IBM constraint programming optimization system CP Optimizer was designed to provide automatic search and a simple modeling of scheduling problems. It is used in industry for solving operational planning and scheduling problems. We present three features that we recently added to CP Optimizer to accelerate problem solving and make the solver more interactive. These are model presolve, warm-start and conflict refinement. The aim of model presolve is to reformulate and group constraints to obtain a stronger model that will be solved more rapidly. We give examples of some interesting model reformulations. Search warm-start starts search from a known - possibly incomplete - solution given by the user in order to further improve it or to help to guide the engine towards a first solution. Finally the conflict refiner helps to identify a reason for an inconsistency by providing a minimal subset of an infeasible model. All these features are illustrated on concrete examples.
The document provides examples and steps for solving linear programming problems. It explains that linear programming involves defining variables, writing constraints as inequalities, graphing the feasible region, finding the vertex coordinates, writing the objective function, substituting the vertices into the function, and determining the maximum or minimum value. Two examples are worked through showing how to maximize profit by determining the optimal number of acres to plant for different crops or units of steel products to produce.
The document discusses linear programming and solution techniques for linear programming problems. It provides an overview of linear programming, the components of a linear programming model, and the basic steps for developing a linear programming model. It then presents the Beaver Creek example to demonstrate solving a linear programming problem graphically. The graphical solution technique involves representing the problem constraints graphically and using isoprofit lines corresponding to the objective function to identify the optimal feasible solution.
The document discusses the process of linear programming which involves defining variables, writing constraints as inequalities, graphing the feasible region, finding the vertices, writing an objective function, substituting the vertices into the function, and determining the maximum or minimum value. It provides two examples of using linear programming to maximize profits by determining the optimal number of acres to plant different crops or units of steel to produce.
- Linear programming (LP) is a form of constrained optimization where the objective function and constraints are linear. It is widely used to model and solve problems in areas like transportation and production scheduling.
- The Acme Bicycle Company example problem involves determining production levels to maximize profit, given constraints like production capacity. It is formulated as an LP with variables for production rates, an objective to maximize profit, and constraints representing limits.
- Optimal solutions in LP problems will always occur at corner points of the feasible region. Checking all corner points is more efficient than randomly sampling interior points, and is the basis for the simplex method for solving LPs.
The document provides examples of linear programming problems and their formulations. It discusses the key components of a linear programming problem including decision variables, objective function, and constraints.
Example 1 describes a manufacturing problem with constraints on grinding and polishing hours. The objective is to maximize profit by determining the optimal production quantities of two models.
Example 2 formulates a production problem with constraints on raw materials and labor hours. The objective is to maximize profit by determining the optimal production quantities of two products.
Example 3 formulates a farming problem with constraints on fertilizer requirements. The objective is to minimize cost by determining the optimal quantities of two fertilizer mixtures to purchase.
The document provides an overview of management science/operations research including:
- A brief history noting early developments and contributors.
- Applications across various industries showing cost savings and increased revenues.
- Current professional organizations and typical jobs for graduates.
- How management science techniques can help with system design, operation, and decision making.
- The benefits and tradeoffs of different model types like iconic, analog, and mathematical models.
This document outlines the schedule and content for an advanced econometrics and Stata training course taking place from October 17-26, 2019 in Beijing, China. The course will cover topics including single and multi-regression, hypothesis testing, panel data models, time series models, stochastic frontier analysis, data envelopment analysis, and difference-in-differences. Data envelopment analysis will be the focus of sessions 13 and 14, covering concepts such as efficiency measurement, variable returns to scale, and incorporating environmental variables.
Linear programming is an optimization technique used to maximize or minimize a linear objective function subject to linear constraints. It involves defining variables, constraints, and an objective function in terms of those variables. The optimal solution is found by systematically considering all extreme points of the feasible region defined by the constraints. Linear programming has wide applications in fields like production, transportation, finance, and resource allocation.
Summarize the key ideas of each of these texts and explain how they .docxrafbolet0
Summarize the key ideas of each of these texts and explain how they shed light on our study of American religious diversity. Point out some key citations and explain the most important thing you learned from these readings and how these readings helped you achieve the educational goals of our course
US Bill of Rights, UN DECLARATION OF HUMAN RIGHTS, and UNESCO on Diversity and Tolerance; Dignitatis Humanae, and Nostra Aetate
Clash of civilizations, Civil Religion (Reader, pp288-289), and Dominus Iesus
Dynamics of Prejudice (Reader, pp.32-39; 111-114; 295-309)
“Die Judenfrage” (Reader, pp.178-209)
The Irish case (Reader, pp.169-177)
Idolatry (Cantwell Smith, Reader, pp.259-266) and Tolerant Gods ( by Wole Soyinka, text on moodle)
Sacred Texts, Christian and Islamic vision of Religious Tolerance (Reader, p.44, and moodle)
The Real Kant, Multiculturalism, Eurocentrism and the Columbus paradigm (Reader, pp.93-103; 352-358; and pp.282-289)
“Calore-Colore” Paradigm (Reader, pp. 323-346) and scholarship on ATR, and scientific theories or mythologies of otherness (pp, 111-128; 295-346)
AAR article on Egyptology and “Egypt and Israel”
Choose 3 questions from the list above :
the papers should be clear and professonal, answer questions and explain the points that you wants to explain with examples from SACRED TEXTS (BIBLE AND KORAN). I want the writer to do the papers professionally, and to be neutral and non-racist, I want him explain that the examples of the Koran show the positive side, which is commensurate with the topic you will write, And, if possible, that there is a positive similarity between the Koran and the Bible. I already provide additional file can help the writer and you can looking for Koran and Bible to use it
.
Submit, individually, different kinds of data breaches, the threats .docxrafbolet0
This document provides instructions for an assignment to submit a paper analyzing different types of data breaches, the threats that enable them, and their severity. The paper should be APA formatted with 1-inch margins, consistent font, and double spacing, include a 1-page title page, 2-3 pages of body text, and a 1-page references section.
More Related Content
Similar to Spreadsheet Modeling & Decision AnalysisA Practical .docx
beyond linear programming: mathematical programming extensionsAngelica Angelo Ocon
This document discusses integer programming and binary integer programming. Integer programming involves decision variables that must take on integer values. Binary integer programming uses binary variables that can only be 0 or 1. Examples show how to formulate integer programming models using binary variables to represent yes/no decisions and constraints. The key aspects of integer programming are ensuring decision variables are integers and that the optimal solution is also integer.
1. Optimization methods are used widely in business, industry, government and engineering to solve problems involving optimal allocation of limited resources. Many optimization techniques originated during World War II to improve war efforts.
2. A linear programming problem aims to maximize or minimize a linear objective function subject to linear constraints. It has various applications including production scheduling, transportation routing, and cutting stock problems.
3. The document provides an example of using a linear programming model to maximize profits for a pottery company by determining the optimal product mix given constraints on available labor hours and clay materials. Decision variables, objective function, and constraints are defined to formulate the mathematical model.
The document discusses operations research (OR), including its origins in the 1800s and widespread use during World War II. It describes the characteristics and scope of OR, which involves using interdisciplinary teams and quantitative methods to improve decision-making. Examples of OR applications include production scheduling, resource allocation, transportation optimization, and more. The objectives and typical phases of an OR study are also outlined.
This document discusses goal programming and its formulation and graphical solution. It describes goal programming as a method to solve linear programs with multiple objectives, with each objective viewed as a goal. Deviation variables are used to represent how much a goal is overachieved or underachieved. The goals are added to the constraint set and solved in priority sequence to minimize deviations. The document provides an example of using goal programming to solve a multi-criteria production planning problem at a computer company. It also describes using a scoring model to help a student choose between job offers by assigning weights and ratings to different selection criteria.
The document provides information about solving a linear programming problem to maximize profits for a swimwear manufacturing company called Super Swim. The company makes two products - shorts and briefs - and wants to determine the optimal production quantities of each given material, labor, and other constraints. The summary is:
1. Super Swim manufactures shorts and briefs and wants to determine the optimal production quantities of each to maximize profits within material, labor, and other constraints.
2. The decision variables are the number of shorts (S) and briefs (B) to produce. The objective is to maximize total profit, which is a linear function of S and B.
3. The constraints include limits on available material
This document discusses several applications of linear programming (LP) models. It provides examples of how LP can be used to help with marketing applications like media mix optimization and marketing research sampling strategies. Manufacturing applications covered include production mix planning to maximize profit given material and demand constraints, and multi-period production scheduling to minimize total costs considering factors like inventory, labor hours, and warehouse space. The document provides detailed examples and mathematical formulations of LP models for a gambling club's advertising, a research firm's survey sample, and a manufacturer's product mix and production scheduling.
Linear programming is an optimization method that allocates scarce resources in the best way subject to constraints. It can be used to maximize profit, revenue, or minimize costs. A linear programming model specifies an objective function and constraints that are linear relationships. The objective is to find the optimal solution that satisfies all constraints. Graphical and algebraic solution methods can be used to solve linear programming problems. The graphical method plots the constraints and finds the optimal solution at an intersection point.
Biosight: Quantitative Methods for Policy Analysis - Introduction to GAMS, Li...IFPRI-EPTD
This document summarizes key topics covered on Day 1 of training, including an introduction to GAMS, linear programming, and positive mathematical programming (PMP). It provides examples of specifying linear programming problems for profit maximization and calculating dual values. It then discusses limitations of linear programming and introduces the PMP method to calibrate models to observed data through the introduction of nonlinear cost functions. The stages of PMP calibration are outlined using single-crop and two-crop examples.
Bba 3274 qm week 10 integer programmingStephen Ong
This document discusses integer programming and various types of integer programming problems that commonly arise in business. It provides an example of a pure integer programming problem involving production planning at a company that makes chandeliers and ceiling fans. The document also discusses mixed-integer programming problems and modeling problems using 0-1 variables, providing examples for capital budgeting and facility location problems. Various software packages are demonstrated for solving integer programming problems.
Uniformity in mechanical properties of the slab affects quality of subsequent rolling process. One of the most important factors deciding quality of the slab is fluctuation of the molten steel level in the mould. That is, smoothing pouring without fluctuating in the mould level means improvement in quality of the slab and protects break-out problem and allows high speed casting process. If molten steel surface fluctuates severely, the forming oscillation marks on the slab is unstable, solidification of molten steel is not uniform and there will be entrapment of mould powder in the solidified cast strand. It makes quality of the slab inferior and generates defects on the slab.
The document discusses linear programming problems and how to formulate them. It provides definitions of key terms like linear, programming, objective function, decision variables, and constraints. It then explains the steps to formulate a linear programming problem, including defining the objective, decision variables, mathematical objective function, and constraints. Several examples of formulated linear programming problems are provided to maximize profit or minimize costs subject to various constraints.
Model Presolve, Warmstart and Conflict Refining in CP OptimizerPhilippe Laborie
The IBM constraint programming optimization system CP Optimizer was designed to provide automatic search and a simple modeling of scheduling problems. It is used in industry for solving operational planning and scheduling problems. We present three features that we recently added to CP Optimizer to accelerate problem solving and make the solver more interactive. These are model presolve, warm-start and conflict refinement. The aim of model presolve is to reformulate and group constraints to obtain a stronger model that will be solved more rapidly. We give examples of some interesting model reformulations. Search warm-start starts search from a known - possibly incomplete - solution given by the user in order to further improve it or to help to guide the engine towards a first solution. Finally the conflict refiner helps to identify a reason for an inconsistency by providing a minimal subset of an infeasible model. All these features are illustrated on concrete examples.
The document provides examples and steps for solving linear programming problems. It explains that linear programming involves defining variables, writing constraints as inequalities, graphing the feasible region, finding the vertex coordinates, writing the objective function, substituting the vertices into the function, and determining the maximum or minimum value. Two examples are worked through showing how to maximize profit by determining the optimal number of acres to plant for different crops or units of steel products to produce.
The document discusses linear programming and solution techniques for linear programming problems. It provides an overview of linear programming, the components of a linear programming model, and the basic steps for developing a linear programming model. It then presents the Beaver Creek example to demonstrate solving a linear programming problem graphically. The graphical solution technique involves representing the problem constraints graphically and using isoprofit lines corresponding to the objective function to identify the optimal feasible solution.
The document discusses the process of linear programming which involves defining variables, writing constraints as inequalities, graphing the feasible region, finding the vertices, writing an objective function, substituting the vertices into the function, and determining the maximum or minimum value. It provides two examples of using linear programming to maximize profits by determining the optimal number of acres to plant different crops or units of steel to produce.
- Linear programming (LP) is a form of constrained optimization where the objective function and constraints are linear. It is widely used to model and solve problems in areas like transportation and production scheduling.
- The Acme Bicycle Company example problem involves determining production levels to maximize profit, given constraints like production capacity. It is formulated as an LP with variables for production rates, an objective to maximize profit, and constraints representing limits.
- Optimal solutions in LP problems will always occur at corner points of the feasible region. Checking all corner points is more efficient than randomly sampling interior points, and is the basis for the simplex method for solving LPs.
The document provides examples of linear programming problems and their formulations. It discusses the key components of a linear programming problem including decision variables, objective function, and constraints.
Example 1 describes a manufacturing problem with constraints on grinding and polishing hours. The objective is to maximize profit by determining the optimal production quantities of two models.
Example 2 formulates a production problem with constraints on raw materials and labor hours. The objective is to maximize profit by determining the optimal production quantities of two products.
Example 3 formulates a farming problem with constraints on fertilizer requirements. The objective is to minimize cost by determining the optimal quantities of two fertilizer mixtures to purchase.
The document provides an overview of management science/operations research including:
- A brief history noting early developments and contributors.
- Applications across various industries showing cost savings and increased revenues.
- Current professional organizations and typical jobs for graduates.
- How management science techniques can help with system design, operation, and decision making.
- The benefits and tradeoffs of different model types like iconic, analog, and mathematical models.
This document outlines the schedule and content for an advanced econometrics and Stata training course taking place from October 17-26, 2019 in Beijing, China. The course will cover topics including single and multi-regression, hypothesis testing, panel data models, time series models, stochastic frontier analysis, data envelopment analysis, and difference-in-differences. Data envelopment analysis will be the focus of sessions 13 and 14, covering concepts such as efficiency measurement, variable returns to scale, and incorporating environmental variables.
Linear programming is an optimization technique used to maximize or minimize a linear objective function subject to linear constraints. It involves defining variables, constraints, and an objective function in terms of those variables. The optimal solution is found by systematically considering all extreme points of the feasible region defined by the constraints. Linear programming has wide applications in fields like production, transportation, finance, and resource allocation.
Similar to Spreadsheet Modeling & Decision AnalysisA Practical .docx (20)
Summarize the key ideas of each of these texts and explain how they .docxrafbolet0
Summarize the key ideas of each of these texts and explain how they shed light on our study of American religious diversity. Point out some key citations and explain the most important thing you learned from these readings and how these readings helped you achieve the educational goals of our course
US Bill of Rights, UN DECLARATION OF HUMAN RIGHTS, and UNESCO on Diversity and Tolerance; Dignitatis Humanae, and Nostra Aetate
Clash of civilizations, Civil Religion (Reader, pp288-289), and Dominus Iesus
Dynamics of Prejudice (Reader, pp.32-39; 111-114; 295-309)
“Die Judenfrage” (Reader, pp.178-209)
The Irish case (Reader, pp.169-177)
Idolatry (Cantwell Smith, Reader, pp.259-266) and Tolerant Gods ( by Wole Soyinka, text on moodle)
Sacred Texts, Christian and Islamic vision of Religious Tolerance (Reader, p.44, and moodle)
The Real Kant, Multiculturalism, Eurocentrism and the Columbus paradigm (Reader, pp.93-103; 352-358; and pp.282-289)
“Calore-Colore” Paradigm (Reader, pp. 323-346) and scholarship on ATR, and scientific theories or mythologies of otherness (pp, 111-128; 295-346)
AAR article on Egyptology and “Egypt and Israel”
Choose 3 questions from the list above :
the papers should be clear and professonal, answer questions and explain the points that you wants to explain with examples from SACRED TEXTS (BIBLE AND KORAN). I want the writer to do the papers professionally, and to be neutral and non-racist, I want him explain that the examples of the Koran show the positive side, which is commensurate with the topic you will write, And, if possible, that there is a positive similarity between the Koran and the Bible. I already provide additional file can help the writer and you can looking for Koran and Bible to use it
.
Submit, individually, different kinds of data breaches, the threats .docxrafbolet0
This document provides instructions for an assignment to submit a paper analyzing different types of data breaches, the threats that enable them, and their severity. The paper should be APA formatted with 1-inch margins, consistent font, and double spacing, include a 1-page title page, 2-3 pages of body text, and a 1-page references section.
Submit your personal crimes analysis using Microsoft® PowerPoi.docxrafbolet0
Submit
your personal crimes analysis using Microsoft
®
PowerPoint
®
or another pre-approved presentation tool.
Create
a 10- to 15-slide presentation that includes a reference slide with at least four references cited throughout the presentation. Include the following:
·
Differentiate between assault, battery, and mayhem.
·
Identify and explain kidnapping and false imprisonment.
·
Compare and contrast between rape and statutory rape.
·
Choose two states and compare the definitions and punishment for these crimes.
Include
appropriate photos, short videos, or headlines, as needed, to represent your analysis.
Format
your presentation consistent with APA guidelines.
.
Submit two pages (double spaced, 12 point font) describing a musical.docxrafbolet0
Submit two pages (double spaced, 12 point font) describing a musical concert of your choosing, suggested in the syllabus or approved by instructor. Describe as many factors as possible: who/what/where/ when, how many musicians performed, what instruments did they play, name several of the musical pieces, how did they sound (use some of the terms we learned in the course), what did the musicians wear, describe the audience, describe the music (how did it make you feel, etc.), what did you enjoy most about the event? Share your reflections.
.
Submit the rough draft of your geology project. Included in your rou.docxrafbolet0
Submit the rough draft of your geology project. Included in your rough draft should be the text as close as possible to the way you intend on submitting it as well as data tables and rough sketches of figures.
Proofread everything and check your work according to the
Evaluation
guidelines in the original assignment in Week 02.
Geology Project Requirements
**Please review your paper for all of the below before submitting your Week 8 Rough Draft or Week 10 Final Paper.**
-
Length
·
Paper is to be 7 pages, at a minimum, in length:
o
One Cover Page
o
One Reference page
o
5 pages of written text (which does not include space taken up by photos, illustrations or charts).
-
Formatting
·
All paragraphs need to be indented.
·
Font should be Times New Roman and size 12.
·
The line spacing should be double spaced.
·
Make sure there is an introduction paragraph, thebody paragraphs are well organized and a conclusion paragraph.
·
Stay away from many short sentences in a paragraph, as the paragraph needs to flow. (These can be fragment sentences and can make the paper confusing when reading.)
·
Also stay away from many short paragraphs in the body of the paper, if organized well, then there will be medium length paragraphs.
·
Paper should be aligned to the left margin – not center or wide across.
-
Writing
·
This is a science research paper about a geology topic and must be in third person, therefore words such as we, me, I you, our, or us are not allowed to be used. Make sure these are not in your paper.
o
This also pertains to let’s. (Let’s short for let us.)
·
Make sure that all of your sentences are strong and independent.
·
Paper needs to be written using proper mechanics (clear, concise, complete sentences and paragraphs), proper spelling, grammar and punctuation.
·
Do not start your introduction or paper off with ‘This paper will look at…’ or ‘This paper will cover…’ Your thesis should not contain these words and should be a stand alone sentence with a passive lead in.
·
Spell Check Spell Check Spell Check.
·
Any introduction of a new word or scientific word that your reader may not know the definition of, be sure to include the definition for better understanding.
·
Acronyms. The first time an acronym is used, be sure to define what it stands for – such as USGS (United States Geological Survey). Then each subsequent time this acronym is used in the paper, you can just write USGS since it has already been defined to the reader.
·
Make sure to capitalize proper nouns such as Earth.
·
Make sure paragraphs transition and flow well between each other. Read the paper out loud to yourself before final submission to make sure these transitions are in place.
·
Please do not be a casual writer in this paper. What I mean by that is do not write how you would talk in a casual conversation, text on your phone or email a friend. This is a research paper and therefore the presentation and writing style needs to be.
Submit your paper of Sections III and IV of the final project. Spe.docxrafbolet0
Submit your paper of Sections III and IV of the final project. Specifically, the following critical elements must be addressed:
III. Billing and Reimbursement
A. Analyze the collection of data by patient access personnel and its importance to the billing and collection process. Be sure to address the importance of exceptional customer service.
B. Analyze how third-party policies would be used when developing billing guidelines for patient financial services (PFS) personnel and administration when determining the payer mix for maximum reimbursement.
C. Organize the key areas of review in order of importance for timeliness and maximization of reimbursement from third-party payers. Explain your rationale on the order.
D. Describe a way to structure your follow-up staff in terms of effectiveness. How can you ensure that this structure will be effective?
E. Develop a plan for periodic review of procedures to ensure compliance. Include explicit steps for this plan and the feasibility of enacting this plan within this organization.
IV. Marketing and Reimbursement
A. Analyze the strategies used to negotiate new managed care contracts. Support your analysis with research.
B. Communicate the important role that each individual within this healthcare organization plays with regard to managed care contracts. Be sure to include the different individuals within the healthcare organization.
C. Explain how new managed care contracts impact reimbursement for the healthcare organization. Support your explanation with concrete evidence or research.
D. Discuss the resources needed to ensure billing and coding compliance with regulations and ethical standards. What would happen if these resources were not obtained? Describe the consequences of noncompliance with regulations and ethical standards.
.
Submit the finished product for your Geology Project. Please include.docxrafbolet0
Submit the finished product for your Geology Project. Please include all figures, data tables, and text in the same document.
Before you submit, please proofread once more as you check the
Evaluation
guidelines from the original assignment in Week 02.
I need the sources in-text citations please and sources throughout the paper with quotation marks!!! THIS IS NECESSARY. I have the rough draft I can send it.
Geology Project Requirements
**Please review your paper for all of the below before submitting your Week 10 Final Paper.**
-
Length
·
Paper is to be 7 pages, at a minimum, in length:
o
One Cover Page
o
One Reference page
o
5 pages of written text (which does not include space taken up by photos, illustrations or charts).
-
Formatting
·
All paragraphs need to be indented.
·
Font should be Times New Roman and size 12.
·
The line spacing should be double spaced.
·
Make sure there is an introduction paragraph, the body paragraphs are well organized and a conclusion paragraph.
·
Stay away from many short sentences in a paragraph, as the paragraph needs to flow. (These can be fragment sentences and can make the paper confusing when reading.)
·
Also stay away from many short paragraphs in the body of the paper, if organized well, then there will be medium length paragraphs.
·
Paper should be aligned to the left margin – not center or wide across.
-
Writing
·
This is a science research paper about a geology topic and must be in third person, therefore words such as we, me, I you, our, or us are not allowed to be used. Make sure these are not in your paper.
o
This also pertains to let’s. (Let’s short for let us.)
·
Make sure that all of your sentences are strong and independent.
·
Paper needs to be written using proper mechanics (clear, concise, complete sentences and paragraphs), proper spelling, grammar and punctuation.
·
Do not start your introduction or paper off with ‘This paper will look at…’ or ‘This paper will cover…’ Your thesis should not contain these words and should be a stand alone sentence with a passive lead in.
·
Spell Check Spell Check Spell Check.
·
Any introduction of a new word or scientific word that your reader may not know the definition of, be sure to include the definition for better understanding.
·
Acronyms. The first time an acronym is used, be sure to define what it stands for – such as USGS (United States Geological Survey). Then each subsequent time this acronym is used in the paper, you can just write USGS since it has already been defined to the reader.
·
Make sure to capitalize proper nouns such as Earth.
·
Make sure paragraphs transition and flow well between each other. Read the paper out loud to yourself before final submission to make sure these transitions are in place.
·
Please do not be a casual writer in this paper. What I mean by that is do not write how you would talk in a casual conversation, text on your phone or email a friend. This is a research paper.
Submit the Background Information portion of the final project, desc.docxrafbolet0
Submit the Background Information portion of the final project, describing the company and business product, service, or other idea from the business pla. In the description, make sure that you include the target stakeholders and their relationship to the mission, vision, and values of the company. Concisely describe the company and business product or service. Be sure to include the company’s publicly traded name and stock symbol if these exist.
2-3 pages. APA
.
Submit Files - Assignment 1 Role of Manager and Impact of Organizati.docxrafbolet0
Submit Files - Assignment 1 Role of Manager and Impact of Organizational Theories on Managers
Assignment 1 Role of Manager and Impact of Organizational Theories on Managers (Week 3)
Purpose:
In the first assignment, students are given a scenario in which the shipping manager who has worked for Galaxy Toys, Inc. since 1969. The scenario serves to set the stage for students to demonstrate how management theories have changed over time. For example, managing 30 years ago is different than managing in the 21
st
century.
Outcome Met by Completing This Assignment:
integrate management theories and principles into management practices
Instructions:
In Part One of this case study analysis, students are to use the facts from the case study to determine two different organization theories that are demonstrated. For Part Two, students will compare the 21
st
century manager to that of the main character in the case study and the implications of change in being a 21
st
century manager.
In selecting a school of thought and an organizational theory that best describes the current shipping manager, students will use the timeline to select a school of thought and a theory or theories of that time frame. Students will to use the course material to respond to most of the assignment requirements but will also need to research the theorist(s) and theories to complete the assignment. Students are expected to be thorough in responding.
In Part Two, students are going to take what they have learned and compare the management skills of the 21st century shipping manager to the skills of the current shipping manager.
Step 1:
Review “How to Analyze a Case Study” under Week 3 Content.
Step 2:
Create a Word or Rich Text Format (RTF) document that is double-spaced, 12-point font. The final product will be between 4-6 pages in length excluding the title page and reference page.
Step 3:
Review the grading rubric for the assignment.
Step 4:
In addition to providing an introduction, students will use headings following this format:
Title page with title, your name, the course, the instructor’s name;
Background;
Part One;
Part Two.
Step 5
: In writing a case study, the writing is in the third person. What this means is that there are no words such as “I, me, my, we, or us” (first person writing), nor is there use of “you or your” (second person writing). If uncertain how to write in the third person, view this link:
http://www.quickanddirtytips.com/education/grammar/first-second-and-third-person
. Also note that students are not to provide personal commentary.
Step 6:
In writing this assignment, students are expected to support the reasoning using in-text citations and a reference list. If any material is used from a source document, it must be cited and referenced. A reference within a reference list cannot exist without an associated in-text citation and vice versa. View the sample APA paper under Week 1 content.
Step 7:
In writing thi.
SS
C
ha
Simple RegressionSimple Regression
pter
Chapter ContentsChapter Contents
12
12.1 Visual Displays and Correlation Analysis12.1 Visual Displays and Correlation Analysisp y yp y y
12.2 Simple Regression12.2 Simple Regression
12 3 Regression Terminology12 3 Regression Terminology12.3 Regression Terminology12.3 Regression Terminology
12.4 Ordinary Least Squares Formulas12.4 Ordinary Least Squares Formulas
12 T f Si ifi12 T f Si ifi12.5 Tests for Significance12.5 Tests for Significance
12.6 Analysis of Variance: Overall Fit12.6 Analysis of Variance: Overall Fit
12.7 Confidence and Prediction Intervals for 12.7 Confidence and Prediction Intervals for YY
12-1
SS
C
ha
Simple RegressionSimple Regression
pter
Chapter ContentsChapter Contents
12
12 8 Residual Tests12 8 Residual Tests12.8 Residual Tests12.8 Residual Tests
12.9 Unusual Observations12.9 Unusual Observations
12 10 Oth R i P bl12 10 Oth R i P bl12.10 Other Regression Problems12.10 Other Regression Problems
12-2
C
ha
SS
pter 1
Simple RegressionSimple Regression
Chapter Learning Objectives (LO’s)Chapter Learning Objectives (LO’s)
12
Chapter Learning Objectives (LO s)Chapter Learning Objectives (LO s)
LO12LO12--1: 1: Calculate and test a correlation Calculate and test a correlation coefficient coefficient for for significancesignificance..
LO12LO12--2: 2: Interpret Interpret the slope and intercept of a regression equation.the slope and intercept of a regression equation.
LO12LO12--3: 3: Make Make a prediction for a given a prediction for a given x value using a x value using a regressionregression
equationequation..qq
LO12LO12--4: 4: Fit a simple regression on an Excel scatter plot.Fit a simple regression on an Excel scatter plot.
LO12LO12--5:5: Calculate and interpretCalculate and interpret confidenceconfidence intervals forintervals for regressionregressionLO12LO12 5: 5: Calculate and interpret Calculate and interpret confidence confidence intervals for intervals for regressionregression
coefficientscoefficients..
LO12LO12 6:6: Test hypotheses about the slope and intercept by usingTest hypotheses about the slope and intercept by using t testst tests
12-3
LO12LO12--6: 6: Test hypotheses about the slope and intercept by using Test hypotheses about the slope and intercept by using t tests.t tests.
C
ha
ff
pter
Analysis of VarianceAnalysis of Variance
Ch t L i Obj ti (LO’ )Ch t L i Obj ti (LO’ )
12
Chapter Learning Objectives (LO’s)Chapter Learning Objectives (LO’s)
LO12LO12--7:7: Perform regression with Excel or other software.Perform regression with Excel or other software.
LO12LO12--8:8: Interpret the standard errorInterpret the standard error RR22 ANOVA table and F testANOVA table and F testLO12LO12 8: 8: Interpret the standard error, Interpret the standard error, RR , ANOVA table, and F test., ANOVA table, and F test.
LO12LO12--9:9: Distinguish between confidence and prediction intervals.Distinguish between conf.
SRF Journal EntriesreferenceAccount TitlesDebitsCredits3-CType journal entries in the space provided. Link these to the T-accounts and link the T-account balancesto the financial statements provided on the tabs at the bottom of the page.4-C
&L&"Arial,Bold"&14City of Monroe- Street and Highway Fund Journal Entries
SRF T-accountsDUE FROMCASHINVESTMENTSSTATE GOV'Tbb6,500bb55,000bb200,0006,50055,000200,000BUDGETARY FUND BALANCEFUND BALANCEACCOUNTS PAYABLERESERVE FOR ENCUMBRANCESRESERVE FOR ENCUMBRANCES(beginning of year)6,300bb-bb255,200bb6,300-255,200REVENUESREVENUESEXPENDITURES - STREETINTERGOVERNMENTALINVESTMENT INTEREST& HIGHWAY MAINTENANCEENCUMBRANCES----BUDGETARY ACCOUNTSBUDGETARYESTIMATED REVENUESAPPROPRIATIONSFUND BALANCE---
&L&16City of Monroe&C&16
Street and Highway Fund - General Ledger
Closing EntriesBUDGETARYAccount TitleDebitsCreditsFUND BALANCE-Preclosingclosing entry-FUND BALANCE255,200Preclosingclosing entry255,200ending balanceComplete the following tableNon-spendableRestrictedCommittedAssignedUnassignedTotalFund Balance-Budgetary Fund Balance - Reserve for Encumbrances-Totals------
&L&14City of Monroe&C&14
STREET & HIGHWAY MAINTENANCE FUND - Closing Entries
Stmt of revenues & expendituresRevenuesIntergovernmental RevenuesInterest on InvestmentsTotal Revenues$ -ExpendituresCurrent:Street & Highway MaintenanceTotal Expenditures-Excess (Deficiency) of Revenues Over Expenditures-Fund Balance, January 1Fund Balance, December 31$ -
&L&"Times New Roman,Regular"&14City of Monroe
Statement of Revenues, Expenditures and Changes in Fund Balance
Street and Highway Maintenance Fund
For the year ended December 31, 2014
Balance SheetAssetsCashInvestmentsDue from State GovernmentTotal Assets$ -Liabilities and Fund EquityLiabilitiesAccounts PayableFund EquityFund Balance - Restricted forStreet and Highway MaintenanceTotal Liabilities and Fund Equity$ -
&L&"Times New Roman,Regular"&14City of Monroe
Street & Highway Maintenance Fund
Balance Sheet
As of December 31, 2014
Problem 1Problem 1Required: Identify the financial statement on which each of the following items appears by making an X in the appropriate column. The first one is done for you!(15 points total, 1 point each)IncomeBalanceStatement ofItemStatementSheetCash FlowsAccounts PayableXAccounts ReceivableAdvertising ExpenseCommon StockDividendsEquipmentFinancing ActivitiesInvesting ActivitiesLandOperating ActivitiesRent ExpenseRetained EarningsRevenueSalaries PayableUtility Expense
Problem 2Problem 2Required: Show the effects on the financial statements using a horizontal statement model as outlined below. The first one is done for you!(35 points total, 5 points each)1Sold $30,000 in merchandise for cash2Paid $5,000 for rent with cash3Paid $10,000 in salaries to employees with cash4Sold $25,000 in merchandise and customer paid on credit5Collected $10,000 cash for transaction #46Purchased a building for $100,000 and took out a loan for the money7Paid $1,200 for insuranceBala.
src/CommissionCalculation.javasrc/CommissionCalculation.javaimport java.util.Scanner;
import java.text.NumberFormat;
publicclassCommissionCalculation
{
publicstaticvoid main(String args[])
{
finaldouble salesTarget=600000;
//create an object of Scanner class to get the keyboard input
Scanner keyInput =newScanner(System.in);
//for currency format
NumberFormat numberFormat =NumberFormat.getCurrencyInstance();
//creating an object of SalesPerson class
SalesPerson salesPerson =newSalesPerson();
//prompt the user to enter the annual sales
System.out.print("Enter the annual sales : ");
double sale = keyInput.nextDouble();
//Calculate normal commission until sales target is reached
if(sale<=salesTarget)
{
//set the value of annual sale of sales person object
salesPerson.setAnnualSales(sale);
//displaying the report
System.out.println("The total annual compensation : "+numberFormat.format(salesPerson.getAnnualCompensation()));
}
//show compensation table with Accelerated factor when sales target exceeds
else
{
//method to show a compensation table if sales exceed 600000
salesPerson.getCompensationTable(sale);
}
}
}
src/SalesPerson.javasrc/SalesPerson.java
publicclassSalesPerson{
privatefinaldouble fixedSalary =120000.00;
privatefinaldouble commissionRate =1.2;
privatefinaldouble salesTarget=600000;
privatefinaldouble accelerationfactor=1.20;
privatedouble annualSales;
//default constructor
publicSalesPerson(){
annualSales =0.0;
}
//parameterized constructor
publicSalesPerson(double aSale){
annualSales = aSale;
}
//getter method for the annual sales
publicdouble getAnnualSales(){
return annualSales;
}
//method to set the value of annual sale
publicvoid setAnnualSales(double aSale){
annualSales = aSale;
}
//method to calculate and get commission
publicdouble getCommission()
{
if(annualSales<(0.80*salesTarget))
{
return0;
}
else
{
return annualSales *(commissionRate/100.0);
}
}
//method to calculate and calculate Compensation with Accelerated commission and display table
void getCompensationTable(double annualSales)
{
int count=0;
System.out.println("Annual Sales\t Total Compensation");
for(annualSales=salesTarget;annualSales<=((salesTarget)+(0.5*salesTarget));annualSales+=5000)
{
count=count+1;
double comm= annualSales *(commissionRate*Math.pow(1.2,count)/100.0);
System.out.println(annualSales+"\t"+(fixedSalary+comm));
}
}
//method to calculate and get annual compensation
publicdouble getAnnualCompensation(){
return fixedSalary + getCommission();
}
}
The development of any marketing mix depends on positioning, a process that influences potential customers' overall perception of a brand, product line, or organization in general. Position is the place a product, brand, or group of products occupies in consumers' minds relative to competing offering. Review positioning in your text. There are many examples to illustrate this concept. Then:
1. Describe the position .
SQLServerFiles/Cars.mdf
__MACOSX/SQLServerFiles/._Cars.mdf
SQLServerFiles/Contacts.mdf
__MACOSX/SQLServerFiles/._Contacts.mdf
SQLServerFiles/Cottages.mdf
__MACOSX/SQLServerFiles/._Cottages.mdf
SQLServerFiles/KataliClub.mdf
__MACOSX/SQLServerFiles/._KataliClub.mdf
SQLServerFiles/Northwind.mdf
__MACOSX/SQLServerFiles/._Northwind.mdf
SQLServerFiles/Northwind.sdf
__MACOSX/SQLServerFiles/._Northwind.sdf
SQLServerFiles/Pubs.mdf
__MACOSX/SQLServerFiles/._Pubs.mdf
SQLServerFiles/ReadMe.doc
SQL Server Files
Make sure to copy the SQL Server files to a read/write medium before attempting to use them in a program. The act of selecting a file for a connection creates an .ldf file, which fails on a read-only CD.
__MACOSX/SQLServerFiles/._ReadMe.doc
SQLServerFiles/RnrBooks.mdf
__MACOSX/SQLServerFiles/._RnrBooks.mdf
__MACOSX/._SQLServerFiles
“Subsea pipelines connectors”
Subsea pipeline are very popular around the world. Almost every water body has a pipeline, whether it is to transport distilled or spring water, or for gas, or for crude oil. Pipeline with great lengths are broken into segments, and has a connector between each segment; such a methodology are used to control damage and makes it easier for manufacturing and maintenance. However, theses devices are not perfect, and have different aspects that need to be considered when choosing one. Aspects are such as: pressure drop, installment, repair, and material used.
Different types of subsea pipeline connectors are being developed and used everyday in different parts of the world. Manufacturers are racing to be ahead of the technological advancement and rule the market. Starting with a fundamental article about the advancement and the market availability of subsea pipeline connectors back in 1976 to the current technology, this paper will review the literature materials of the present solutions of subsea pipeline connectors. Connectors technology in 1976
This fundamental article written by H. Mohr discusses the available subsea pipe connectors back in 1976[1]. The article offers solution that is applicable for a specific period of time, but when the technology of its time period is expired and new solutions are offered the article would hardly be discussed anymore, which actually made it impossible to find online or in nearby library. However, in general, the solutions offered and the way there were discussed are actually very relatable to this paper.
The paper lays on the three major methods of connections, then goes on to examine the current commercial product at that time. Three methods mentioned are the basic welding, elastomeric connectors, and advanced engineered horizontal systems. H. Mohr then moves to the market demand of the three methods, and two methods only were discussed, welding and mechanical connectors.
“Much emphasis had been placed on welded subsea connections in recent years, but properly designed and installed mechanical connections will always have an ap.
Square, Inc. is a financial services, merchant services aggregat.docxrafbolet0
Square, Inc. is a financial services, merchant services aggregator and mobile payment company based in San Francisco, California. The company markets several software and hardware payments products, including Square Register and Square Reader, and has expanded into small business services such as Square Capital, a financing program, and Square Payroll. The company was founded in 2009 by Jack Dorsey and Jim McKelvey and launched its first app and service in 2010.
• Square Register allows individuals and merchants in the United States, Canada, and Japan to accept offline debit and credit cards on their iOS or Android smartphone or tablet computer. The application software("app") supports manually entering the card details or swiping the card through the Square Reader, a small plastic device that plugs into the audio jack of a supported smartphone or tablet and reads the magnetic stripe. On the iPad version of the Square Register app, the interface resembles a traditional cash register.
Download and read the documents in Edgar.
– http://www.sec.gov/edgar.shtml
– And find the all files that are filed (especially S1)
• Find the information relevant to future sales.
• Construct the Pro‐forma income statement.
• Estimate future free cash flows for the next five years (account for investments, change in working capital, depreciation and taxes)
• Make a reasonable assumption about the growth rate of cash flows until infinity.
2013-10-22 22.19.51.jpg
2013-10-22 22.20.19.jpg
2013-10-22 22.21.54.jpg
Information and society
Since the advent of easy access to the internet and the World Wide Web, society has a different attitude towards information and access to information. The technology changes – from slow desk-tops with dial-up access to smartphones – have also changed our interaction with information.
This is also an area in which generational differences show up. Those of us born before the mid1980s or 1990s have followed all of these changes and have had to adapt to it. For those born in the 1990s (the millennials or digital natives), these methods of getting information have always existed. The millenials have seen some of the technology changes but don’t remember the “old” way. Keep this in mind as you read these notes.
An information society
At the beginning of the semester we talked about the many different ways we get information and the definitions of information. Now we’re going to look more at how information and information technologies have changed society.
Lester and Koehler talk about defining an information society in economic sense. While this is important, I don’t think we need to look at the percentage of our GNP to see that we do live in an information society. Think of all the companies that are based on information – computer technologies, web based businesses, cell phone and technologies, GPS, etc. There are also jobs that rely on information – customer service, stock markets, etc.
Our relationship with information .
SQL SQL 2) Add 25 CUSTOMERSs so that you now have 50 total..docxrafbolet0
The document contains SQL code that inserts 25 new customers and 25 new vehicles into database tables to increase the total numbers of customers and vehicles to 50 each. The code provides details of the customer and vehicle records being inserted such as names, addresses, vehicle details.
SPSS Input
Stephanie Crookston, Dominique Garrett-Smith, Latesha Simpson, Jannie Tollvier,
PSYCH/625
November 25, 2013
Mary Farmer
SPSS Input
After looking at the data and putting it through the ANOVA test; the conclusions are as follows:
There is a huge difference between the groups regarding degrees of freedom. And the use of ANOVA is essential because it is samples taken at different points and times of the same people. Probability is at zero percent because that means its directly at the mean and the f score is used to see if the null hypothesis can be rejected or fail to be rejected of its less than the critical value.
ANOVA
Score
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
609265.938
1
609265.938
2495.987
.000
Within Groups
53213.402
218
244.098
Total
662479.340
219
In a 1000-1250 word essay, explain the meaning of one visual symbol in American Beauty and the relation of that symbol to the message of the film as a whole. Since context forms meaning, you should analyze several instances in which the symbol appears in the film, explaining the meaning of the symbol in each appearance and showing how each instance contributes to the meaning of the symbol in the film as a whole. Since film is a visual medium, I have intentionally asked you to analyze a visual element for this assignment. Therefore, while you certainly should utilize dialogue or other elements of the film’s narrative, please do not neglect to interpret the specifically filmic aspects of this text, such as (but not limited to) camera work (framing, shot length, etc.), editing (“cutting” or “splicing”), sound effects, wardrobe, and lighting.
Here are some visual symbols from which you may choose, but please don’t feel limited to these:
· Plastic bags
· Roses
· Cameras
· Windows or Mirrors
· Guns
· Extreme darkness or bright light
· Specific colors or color combinations
Please note that the task here is twofold: you should present an interpretation of the particular symbol you choose and show how that symbol helps construct the overall message of the film as you see it. A successful thesis statement will present a clear articulation of the meaning of your chosen symbol, a succinct statement as to the overall message of the film, and an explanation of the relationship between these two. As with the other essays for this class, please avoid rendering value judgments. You should not present an evaluation of whether or not you like the film (or whether it’s “good” or “bad”).
Since a successful analysis will require more viewing of the film than what we have time for in class, you may find it advantageous to rent/purchase/download a copy for yourself. For those who would rather not attain their own copy, I have also put a copy of the film on reserve in the library.
Due Dates:
Four copies of your rough draft due: Tuesday 3 December
Workshop: Thursday 5 December
Final draft due: Thursday 12/12 (the day of th.
Spring
2015
–
MAT
137
–Luedeker
Name:
________________________________
Quiz
#1
–
Introduction
to
Sigma
Notation
Directions:
Please
print
out
this
assignment
or
rewrite
the
problems
on
another
sheet
of
paper.
Write
the
final
answer
as
an
integer
or
an
improper
fraction.
You
must
show
all
work
to
receive
credit.
This
assignment
is
due
Wednesday
January
14
at
the
start
of
class.
The
notation
𝑓(𝑛)
!
!!!
is
called
Sigma
Notation.
The
symbol
Σ
means
sum
a
sequence
of
numbers.
The
first
number
in
the
sequence
is
𝑓 𝑎 ,
the
second
number
in
the
sequence
is
𝑓 𝑎 + 1 ,
the
third
number
in
the
sequence
is 𝑓 𝑎 + 2
etc.
,
and
the
last
number
in
the
sequence
is
𝑓(𝑚).
Here
are
two
examples:
𝑛 = 2 + 3 + 4 + 5 + 6 + 7 = 27
!
!!!
𝑛! + 1 =
!
!!!
3! + 1 + 4! + 1 + 5! + 1 + 6! + 1 = 10 + 17 + 26 + 37 = 90
Problems:
Simplify.
Write
your
answer
as
an
integer
or
improper
fraction.
Show
all
work.
1. 𝑛
!"
!!!
2.
1
2!
!
!!!
3.
1
𝑛
!
!!!
4. (−1)!
!
!!!
1
𝑛
5.
1
𝑛!
!
!!!
Spring
2015
–
MAT
137
–Luedeker
Name:
________________________________
Quiz
#2
–
Numerical
Integration
Directions:
Please
print
out
this
assignment
or
rewrite
the
problems
on
another
sheet
of
paper.
Write
the
final
answer
as
a
decimal
rounded
to
three
decimal
places.
You
must
show
all
work
to
receive
credit.
This
assignment
is
due
Friday
January
16
at
the
start
of
class.
Consider
the
definite
integral
𝑒!
!
𝑑𝑥!! .
Use
n
=
4
and
the
following
methods
to
estimate
the
value
of
the
definite
integral.
1. Left
Rule
2. Right
Rule
3. Midpoint
Rule
4. Trapezoid
Rule
5. Simpson’s
Rule
Spring
2015
–
MAT
137
–Luedeker
Name:
________________________________
Quiz
#3
Directions:
Please
print
out
this
assignment
or
rewrite
the
problems
on
another
sheet
of
paper.
You
must
show
all
work
to
receive
credit.
This
assignment
Springdale Shopping SurveyThe major shopping areas in the com.docxrafbolet0
Springdale Shopping Survey*
The major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents. The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey were as follows:
A. How Often Respondent Shops at Each Area (Variables 1–3)
1. Springdale Mall
2. Downtown
3. West Mall
6 or more times/wk.
(1)
(1)
(1)
4–5 times/wk.
(2)
(2)
(2)
2–3 times/wk.
(3)
(3)
(3)
1 time/wk.
(4)
(4)
(4)
2–4 times/mo.
(5)
(5)
(5)
0–1 times/mo.
(6)
(6)
(6)
B. How Much the Respondent Spends during a Trip to Each Area (Variables 4–6)
4. Springdale Mall
5. Downtown
6. West Mall
$200 or more
(1)
(1)
(1)
$150–under $200
(2)
(2)
(2)
$100–under $150
(3)
(3)
(3)
$ 50–under $100
(4)
(4)
(4)
$ 25–under $50
(5)
(5)
(5)
$ 15–under $25
(6)
(6)
(6)
less than $15
(7)
(7)
(7)
C. General Attitude toward Each Shopping Area (Variables 7–9)
7. Springdale Mall
8. Downtown
9. West Mall
Like very much
(5)
(5)
(5)
Like
(4)
(4)
(4)
Neutral
(3)
(3)
(3)
Dislike
(2)
(2)
(2)
Dislike very much
(1)
(1)
(1)
D. Which Shopping Area Best Fits Each Description (Variables 10–17)
Springdale
Mall
Downtown
West
Mall
No
Opinion
10. Easy to return/exchange goods
(1)
(2)
(3)
(4)
11. High quality of goods
(1)
(2)
(3)
(4)
12. Low prices
(1)
(2)
(3)
(4)
13. Good variety of sizes/styles
(1)
(2)
(3)
(4)
14. Sales staff helpful/friendly
(1)
(2)
(3)
(4)
15. Convenient shopping hours
(1)
(2)
(3)
(4)
16. Clean stores and surroundings
(1)
(2)
(3)
(4)
17. A lot of bargain sales
(1)
(2)
(3)
(4)
E. Importance of Each Item in Respondent’s Choice of a Shopping Area (Variables 18–25)
Not Very
Important Important
F. Information about the Respondent (Variables 26–30)
(
18.
Easy
to
return/exchange
goods
(1)
(2)
(3)
(4)
(5)
(6)
(7)
19.
High
quality
of
goods
(1)
(2)
(3)
(4)
(5)
(6)
(7)
20.
Low
prices
(1)
(2)
(3)
(4)
(5)
(6)
(7)
21.
Good
variety
of
sizes/styles
(1)
(2)
(3)
(4)
(5)
(6)
(7)
22.
Sales
staff
helpful/friendly
(1)
(2)
(3)
(4)
(5)
(6)
(7)
23.
Convenient
shopping
hours
(1)
(2)
(3)
(4)
(5)
(6)
(7)
24.
Clean
stores
and
surroundings
(1)
(2)
(3)
(4)
(5)
(6)
(7)
25.
A
lot
of
bargain
sales
(1)
(2)
(3)
(4)
(5)
(6)
(7)
t
)26. Gender: (1) = Male (2) = Female
27. Number of years of school completed:
(1) = less than 8 years (3) = 12–under 16 years
(2) = 8–under 12 years (4) = 16 years or more
28. Marital status: (1) = Married (2) = Single or other
29. Number of people in household: pe.
Springfield assignment InstructionFrom the given information, yo.docxrafbolet0
Springfield assignment Instruction
From the given information, you are required to make a functional network. In Springfield we have a router and four switches connected as daisy chain topology. Then we have output of show commands. It is obvious that it is a non-functional network and you have to implement a solution to make functional.
Task in Springfield assignment
· From the show output commands, you can identify the problems and then provide solution.
· Configure all the tasks as in Springfield assignment as per instructions
· Create Server VLAN, Instructional VLAN, and Administrative VLAN
· Configure Access method of VLANs
· Configure Switch 1 as root bridge
· Configure trunking on all switches
· Configure default gateway
· Create and configure interface VLAN1
First of all, allow me to thank you for your email of offer dated September 2, 2015. I am writing to inform you of my acceptance to your kind offer and in my class CMIT 350/6380. This class has one technical writing assignment broken into three parts: Draft1, Draft2, and Draft3. I do not have any sample assignment, however I am reviewing student’s draft version and providing feedback. To help you in this regard I am submitting you below outline pf paper.
In the beginning please give brief descriptions of the project, such as why are you doing, what are the problems, and possible solutions.
Background information:
Springfield site network is assigned to me to investigate the problems and find the solutions to fix the problem. From the site topology and sh output commands I determined that spanning-tree protocol is misconfigured and it is blocking few ports. And these are the reasons that network is a non-functional.
Implementing
Solution
:
The following are required information for configuring the network
IP address range 10.30.x.x/16
Device to be configured
Configuring commands
Device Names
Configuration Required
Configuring command
Switch#1
All devices
Host name
Hostname Switch_Springfield1
Switch#2
Host name
Hostname Switch_Springfield2
Switch1
All devices
Create console password
Create vty password
Only on Switch1
Create VLANs
Access vlan
Interface fa0/0
Switchport mode adccess
Switchport access vlan 11
Switch1
All Switches
Create trunk connections between switches
Int gi0/0
Switchport mode trunk
Switchport trunk encapsulation dot1q
Switchport trunk allowed native vlan 1
Router
Configure ip address
Int fa0/0
Ip address 10.30.1.1 255.255.255.0
Switch1
Configure default gateway
Ip default-gateway 10.30.1.1 255.255.255.0
Switches
Configure spanning-tree protocol
Spanning-tree RPVST
Switch1
Make Swich 1 as root bridge of network
Configurations
Rough Draft
This paper will focus on the four main theoretical perspectives within sociology which include conflict, functionalism, utilitarianism and symbolic interactionism with the attempt to explain why groups of people choose to perform certain actions and how societies function or change in a certain way.
Socio.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
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Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
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