This document discusses various forecasting models and techniques. It begins by describing qualitative models that incorporate subjective factors like the Delphi method, jury of executive opinion, sales force composite, and consumer market surveys. It then covers time-series models like moving averages, exponential smoothing, trend projections, and decomposition that predict the future based on past data. Specific techniques are defined, like simple and weighted moving averages, and exponential smoothing. Examples are provided to illustrate how to apply these techniques to forecast data. Measures of forecast accuracy like mean absolute deviation are also introduced.
The document discusses various forecasting techniques used to predict future values based on historical data patterns. It describes time series models like moving averages, exponential smoothing and trend projections that rely solely on past values to forecast. It also covers decomposition of time series data into trend, seasonality, cycles and random components. The document provides examples of scatter plots to visualize relationships in time series data and defines accuracy measures like MAD, MSE and MAPE to evaluate forecast errors. Overall it provides an overview of quantitative forecasting methods and how to implement them.
This document provides an overview of forecasting techniques. It begins with the objectives of the chapter, which are to understand various forecasting models and compare methods such as moving averages, exponential smoothing, and time-series models. It also covers qualitatively measuring forecast accuracy. The document then describes different forecasting techniques including qualitative models, time-series models, and causal models. It provides examples of moving averages, weighted moving averages, and exponential smoothing techniques. It concludes with examples of how to implement forecasting models in Excel.
This document discusses various quantitative forecasting techniques including time series models. It provides an overview of moving averages, exponential smoothing, trend projections, and decomposition models. Examples are given to illustrate computing forecasts using a three-month simple moving average and a three-month weighted moving average. Exponential smoothing is also introduced as a type of moving average that requires less data to compute forecasts.
This document outlines key concepts related to forecasting, including:
- The three time horizons for forecasting: short, medium, and long range.
- Qualitative and quantitative forecasting methods such as jury of executive opinion, Delphi method, moving averages, and exponential smoothing.
- Components of time series data including trend, seasonality, cyclicality, and randomness.
- Steps in a forecasting system and challenges with producing accurate forecasts.
- How Disney uses forecasting across its global operations to inform decisions.
This chapter introduces quantitative analysis and its applications. Quantitative analysis is a scientific approach to managerial decision making that processes raw data into meaningful information. The chapter outlines the quantitative analysis approach, which includes defining the problem, developing a model, acquiring data, developing a solution, testing the solution, analyzing results, and implementing. It also discusses using computers and spreadsheets to develop models and potential problems with the quantitative analysis approach.
The document summarizes various forecasting techniques used by operations managers, including those used by Unilever. It discusses demand patterns, designing forecast systems, qualitative judgment methods, quantitative causal and time series methods like linear regression, moving averages, and exponential smoothing. It provides examples of how to calculate forecasts using these various time series techniques and how to measure forecast accuracy.
This document discusses various forecasting models and techniques. It begins by describing qualitative models that incorporate subjective factors like the Delphi method, jury of executive opinion, sales force composite, and consumer market surveys. It then covers time-series models like moving averages, exponential smoothing, trend projections, and decomposition that predict the future based on past data. Specific techniques are defined, like simple and weighted moving averages, and exponential smoothing. Examples are provided to illustrate how to apply these techniques to forecast data. Measures of forecast accuracy like mean absolute deviation are also introduced.
The document discusses various forecasting techniques used to predict future values based on historical data patterns. It describes time series models like moving averages, exponential smoothing and trend projections that rely solely on past values to forecast. It also covers decomposition of time series data into trend, seasonality, cycles and random components. The document provides examples of scatter plots to visualize relationships in time series data and defines accuracy measures like MAD, MSE and MAPE to evaluate forecast errors. Overall it provides an overview of quantitative forecasting methods and how to implement them.
This document provides an overview of forecasting techniques. It begins with the objectives of the chapter, which are to understand various forecasting models and compare methods such as moving averages, exponential smoothing, and time-series models. It also covers qualitatively measuring forecast accuracy. The document then describes different forecasting techniques including qualitative models, time-series models, and causal models. It provides examples of moving averages, weighted moving averages, and exponential smoothing techniques. It concludes with examples of how to implement forecasting models in Excel.
This document discusses various quantitative forecasting techniques including time series models. It provides an overview of moving averages, exponential smoothing, trend projections, and decomposition models. Examples are given to illustrate computing forecasts using a three-month simple moving average and a three-month weighted moving average. Exponential smoothing is also introduced as a type of moving average that requires less data to compute forecasts.
This document outlines key concepts related to forecasting, including:
- The three time horizons for forecasting: short, medium, and long range.
- Qualitative and quantitative forecasting methods such as jury of executive opinion, Delphi method, moving averages, and exponential smoothing.
- Components of time series data including trend, seasonality, cyclicality, and randomness.
- Steps in a forecasting system and challenges with producing accurate forecasts.
- How Disney uses forecasting across its global operations to inform decisions.
This chapter introduces quantitative analysis and its applications. Quantitative analysis is a scientific approach to managerial decision making that processes raw data into meaningful information. The chapter outlines the quantitative analysis approach, which includes defining the problem, developing a model, acquiring data, developing a solution, testing the solution, analyzing results, and implementing. It also discusses using computers and spreadsheets to develop models and potential problems with the quantitative analysis approach.
The document summarizes various forecasting techniques used by operations managers, including those used by Unilever. It discusses demand patterns, designing forecast systems, qualitative judgment methods, quantitative causal and time series methods like linear regression, moving averages, and exponential smoothing. It provides examples of how to calculate forecasts using these various time series techniques and how to measure forecast accuracy.
Unilever uses a state-of-the-art customer demand planning system to forecast demand. It blends historical shipment data, promotional data, and current order data to generate statistical forecasts, which are then adjusted based on planned promotion predictions and point of sale data. This approach has helped Unilever reduce inventory levels and improve customer service. The document also discusses different forecasting techniques like time series analysis, causal methods, and judgmental forecasts, and how to measure forecast accuracy.
This document discusses various forecasting techniques used at Disney World for attendance forecasting. Disney generates daily, weekly, monthly, annual, and 5-year forecasts which are used for labor management, operations, and scheduling. Forecasting models take into account factors like economic conditions, airline prices, school schedules, and previous attendance data. Qualitative techniques like surveys and quantitative techniques like exponential smoothing and regression are used depending on the situation. Accuracy is important, so different forecasting constants and methods are evaluated based on error metrics.
This document discusses various forecasting techniques used at Disney World for attendance forecasting. Disney generates daily, weekly, monthly, annual, and 5-year forecasts which are used for labor management, operations, and scheduling. Forecasting models take into account factors like economic conditions, airline prices, school schedules, and previous attendance data. Qualitative methods include expert panels, while quantitative methods analyze historical data using techniques like moving averages, exponential smoothing, and regression analysis. Accuracy varies from 0-3% for annual forecasts to 5% for 5-year forecasts.
This document provides an outline for a PowerPoint presentation on forecasting. It covers topics such as forecasting time horizons, the influence of product life cycles on forecasting, different types of forecasts, qualitative and quantitative forecasting approaches, and specific forecasting techniques like jury of executive opinion, Delphi method, sales force composite, and time series forecasting. The outline contains over 15 sections that will each be presented in more detail in the PowerPoint.
The document discusses various quantitative forecasting techniques including time series methods like moving averages and exponential smoothing. It provides examples of how to calculate 3-period moving averages and exponential smoothing forecasts using sample sales data. Exponential smoothing places more weight on recent observations compared to moving averages. The smoothing constant determines how quickly older data is discounted.
This document discusses forecasting methods for predicting future demand. It covers qualitative methods like jury of executive opinion and quantitative methods like naive forecasting, moving averages, and exponential smoothing. Exponential smoothing assigns weights to past demand that decrease exponentially, with the most recent demand weighted most heavily. The smoothing constant determines how quickly the weights decrease. Forecasting allows for better planning of human resources, capacity, and supply chain management.
1. The document discusses operations management and productivity. It defines operations management as transforming inputs into outputs through production of goods and services.
2. Ten critical decisions for operations managers are outlined, including design of goods/services, quality management, process design, location strategy, and inventory management.
3. Improving productivity is a key goal, as measured by the ratio of outputs to inputs. Small changes to processes can significantly boost productivity over time, as seen with Starbucks.
"You can download this product from SlideTeam.net"
Grab the Recruitment Strategy PowerPoint Presentation Slides. This professionally designed PPT is a deck of 24 slides. This presentation is available in standard (4:3) and widescreen (16:9) display ratios. You can also view and save this PowerPoint template in PNG, PDF, and JPG file formats. Moreover, this PPT deck is compatible with Google Slides. You also have the choice to change backgrounds, text, patterns, and colors as all the slides are 100 percent editable. https://bit.ly/3uO9HHZ
1. The webinar discussed measuring return on investment (ROI) in training and how while it is difficult, it is possible to measure ROI through various evaluation methods.
2. Common methods for evaluating training discussed included Kirkpatrick's four levels of evaluation and tools like surveys, tests, and observation to measure reaction, learning, behavior change, and results.
3. Calculating ROI as a percentage comparing the monetary benefits of training to the costs was provided as an example of measuring the ultimate business impact.
Learning and Business Impact: Making the Case through Metrics and AnalyticsHuman Capital Media
Proving the impact of a single learning investment is relatively easy. Answering the broader question of “What impact is L&D having on the business?” is hard. In this Spotlight webinar, Ericsson’s global head of learning measurement and analytics will share how he’s guiding assessment, evaluation and measurement strategies that provide data to help executives understand the impact of employee learning on business performance.
During this session, attendees will:
Identify ways that analytics is shaping learning measurement.
Describe components of a measurement map.
Identify the level of measurement maturity in their organization.
Learning and Business Impact: Making the Case through Metrics and AnalyticsCornerstone OnDemand
Proving the impact of a single learning investment is relatively easy. Answering the broader question of "What impact is L&D having on the business?" is hard.
Operations management involves organizing a company's resources to transform inputs into outputs through production. The three main functions of any organization are marketing, production/operations, and finance/accounting. Operations managers are responsible for planning, organizing, staffing, leading, and controlling a company's productive activities. Their key decisions include designing products and processes, managing quality, determining capacity and location, and scheduling production. As the economy has shifted from manufacturing to services, operations management now applies to both tangible goods and intangible services. Improving productivity through more efficient use of resources is an ongoing challenge for operations managers.
This document contains a presentation from the Bomb Dot Com team for their MBA Strategic Management class business simulation. It includes sections on their strategic vision, company performance over decision rounds, strategy evolution, closest competitors, and potential new strategic decisions. It discusses trends in revenues, EPS, ROE, credit rating, stock price, image rating, unit sales, and market share. It also covers the company's production, workforce compensation, finance, and lessons learned.
Discussion 1 Analysis of Financial Statements.A. This discussi.docxfelipaser7p
Discussion 1: Analysis of Financial Statements
.
A. This discussion assignment will allow for the completion of a ratio analysis. It will also provide information that will be useful as you prepare the written report for Assignment 1: Financial Research Report, which is due at the end of Week 9.
Step 1
: Select a publicly-traded company that you will (or might) use for Assignment 1: Financial Research Report, which is due at the end of Week 9.
Step 2
: Locate financial ratio data from Mergent Online. Financial statements, ratios, and other useful information are available from the Mergent Online database that is available through the Strayer University Learning Resource Center (online). Please notice that financial ratios are grouped into appropriate categories (Profitability Ratios, Liquidity Ratios, Debt Management Ratios, and Asset Management Ratios), which makes it easy to set up the ratios and use them in the analysis.
Accessing the Mergent Online Database – Financial Statements for companies, financial ratios, and Form 10K annual reports can be obtained from the Strayer University Learning Resource Center, which is accessible from the Online Classroom (see tab at the top of the screen).
Select – Learning Resource Center
Select – Databases
Select Mergent Online
Then, in the block titled “Company Search – Enter Symbol or Company Name” enter the company’s name or its Stock Ticker Symbol (e.g., for McCormick & Company, enter MKC). Next, select the company from the drop-down menu.
For Financial Statements – Select “Company Financials” tab
For Financial Ratios – Select “Company Financials” tab and “Ratios” sub-tab
For Form 10K Annual Reports – Select “Filings” tab (and then select the most recent Annual Form 10K report)
Step 3
: Enter the financial ratio data into the Financial Ratio Analysis Model (the attached Excel spreadsheet). The data need to be entered into the yellow-coded cells (column is titled “Oldest Year”) progressing to the most recent year on the left (column is titled “Most Recent Year”).
The model presently contains financial information for McCormick & Company (Stock Ticker MKC).
You will note that the Excel spreadsheet model is programmed to identify if each ratio improved or deteriorated over the time period. And, the spreadsheet is programmed to calculate the percentage change in each of the ratios during the same period. This information should be helpful as you prepare your analysis.
(Note: This spreadsheet could be “imported” into the Assignment 1: Financial Research Report due at the end of Week 10.)
Step 4
: Prepare an analysis and discussion of the financial ratio data that are examined in the Financial Ratio Analysis Model. It is always appropriate to include the actual ratio data in the written analysis in addition to its presentation in a table, chart or graph.
(Note: In addition to Mergent, another good source of financial data and company information is:
http://www.advfn.com
.)
B. Fr.
The document discusses various forecasting techniques including qualitative and quantitative methods. It describes exponential smoothing, which weights recent data more heavily than older data. An example shows how to use exponential smoothing with a smoothing constant of 0.1 to forecast quarterly port cargo volumes over 8 quarters. The forecast for the 9th quarter is calculated as 178.02 based on the previous actual and forecast values.
Business Valuation Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Presenting this set of slides with name - Business Valuation Powerpoint Presentation Slides. The stages in this process are Business Valuation, Financial Analysis, Economic Valuation. https://bit.ly/3H7pGDR
This document discusses time-series forecasting and index numbers. It begins by outlining the chapter goals, which are to develop basic forecasting models, identify time-series components, use smoothing and trend-based forecasting models, forecast seasonal data, and compute index numbers. The document then explains key concepts like time-series plots and components, moving averages, exponential smoothing, trend-based forecasting using linear, quadratic and exponential models, and model selection criteria. Examples are provided throughout to illustrate time-series smoothing and forecasting techniques.
Business Valuation PowerPoint Presentation SlidesSlideTeam
Presenting this set of slides with name - Business Valuation PowerPoint Presentation Slides. The stages in this process are Business Valuation, Financial Analysis, Economic Valuation.
Strategic Value of Learning & DevelopmentDavid Vachell
The document discusses how to build a strategic business case for learning and development (L&D) investments in organizations. It suggests starting with the potential impact of L&D programs rather than just costs. It provides a framework to calculate return on investment and benefit-cost ratios for L&D programs to prioritize investments. The framework includes estimating fixed costs, per-participant costs and benefits, and number of participants to calculate total costs and benefits. It also discusses using participant feedback and estimates shortly after training to predict longer-term impacts and communicate performance against plans.
Chapter 8 - Children of alcoholics often display characteristic tr.docxrobertad6
Chapter 8 - Children of alcoholics often display characteristic traits: (1) the "hero" who attempts to replace the dysfunctional parent by overachieving, or (2) the "jester" who compensates for a lack of parental guidance by being mischievous and unruly. Which role did Beethoven play in his family? What is the evidence for your choice? 100+ words
Chapter 9 - Discuss the way travel might have affected composers (for example, Mendelssohn). If you have been outside the U.S., or even taveled far within the U.S., what effect did it have on you? 100+ words
.
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Unilever uses a state-of-the-art customer demand planning system to forecast demand. It blends historical shipment data, promotional data, and current order data to generate statistical forecasts, which are then adjusted based on planned promotion predictions and point of sale data. This approach has helped Unilever reduce inventory levels and improve customer service. The document also discusses different forecasting techniques like time series analysis, causal methods, and judgmental forecasts, and how to measure forecast accuracy.
This document discusses various forecasting techniques used at Disney World for attendance forecasting. Disney generates daily, weekly, monthly, annual, and 5-year forecasts which are used for labor management, operations, and scheduling. Forecasting models take into account factors like economic conditions, airline prices, school schedules, and previous attendance data. Qualitative techniques like surveys and quantitative techniques like exponential smoothing and regression are used depending on the situation. Accuracy is important, so different forecasting constants and methods are evaluated based on error metrics.
This document discusses various forecasting techniques used at Disney World for attendance forecasting. Disney generates daily, weekly, monthly, annual, and 5-year forecasts which are used for labor management, operations, and scheduling. Forecasting models take into account factors like economic conditions, airline prices, school schedules, and previous attendance data. Qualitative methods include expert panels, while quantitative methods analyze historical data using techniques like moving averages, exponential smoothing, and regression analysis. Accuracy varies from 0-3% for annual forecasts to 5% for 5-year forecasts.
This document provides an outline for a PowerPoint presentation on forecasting. It covers topics such as forecasting time horizons, the influence of product life cycles on forecasting, different types of forecasts, qualitative and quantitative forecasting approaches, and specific forecasting techniques like jury of executive opinion, Delphi method, sales force composite, and time series forecasting. The outline contains over 15 sections that will each be presented in more detail in the PowerPoint.
The document discusses various quantitative forecasting techniques including time series methods like moving averages and exponential smoothing. It provides examples of how to calculate 3-period moving averages and exponential smoothing forecasts using sample sales data. Exponential smoothing places more weight on recent observations compared to moving averages. The smoothing constant determines how quickly older data is discounted.
This document discusses forecasting methods for predicting future demand. It covers qualitative methods like jury of executive opinion and quantitative methods like naive forecasting, moving averages, and exponential smoothing. Exponential smoothing assigns weights to past demand that decrease exponentially, with the most recent demand weighted most heavily. The smoothing constant determines how quickly the weights decrease. Forecasting allows for better planning of human resources, capacity, and supply chain management.
1. The document discusses operations management and productivity. It defines operations management as transforming inputs into outputs through production of goods and services.
2. Ten critical decisions for operations managers are outlined, including design of goods/services, quality management, process design, location strategy, and inventory management.
3. Improving productivity is a key goal, as measured by the ratio of outputs to inputs. Small changes to processes can significantly boost productivity over time, as seen with Starbucks.
"You can download this product from SlideTeam.net"
Grab the Recruitment Strategy PowerPoint Presentation Slides. This professionally designed PPT is a deck of 24 slides. This presentation is available in standard (4:3) and widescreen (16:9) display ratios. You can also view and save this PowerPoint template in PNG, PDF, and JPG file formats. Moreover, this PPT deck is compatible with Google Slides. You also have the choice to change backgrounds, text, patterns, and colors as all the slides are 100 percent editable. https://bit.ly/3uO9HHZ
1. The webinar discussed measuring return on investment (ROI) in training and how while it is difficult, it is possible to measure ROI through various evaluation methods.
2. Common methods for evaluating training discussed included Kirkpatrick's four levels of evaluation and tools like surveys, tests, and observation to measure reaction, learning, behavior change, and results.
3. Calculating ROI as a percentage comparing the monetary benefits of training to the costs was provided as an example of measuring the ultimate business impact.
Learning and Business Impact: Making the Case through Metrics and AnalyticsHuman Capital Media
Proving the impact of a single learning investment is relatively easy. Answering the broader question of “What impact is L&D having on the business?” is hard. In this Spotlight webinar, Ericsson’s global head of learning measurement and analytics will share how he’s guiding assessment, evaluation and measurement strategies that provide data to help executives understand the impact of employee learning on business performance.
During this session, attendees will:
Identify ways that analytics is shaping learning measurement.
Describe components of a measurement map.
Identify the level of measurement maturity in their organization.
Learning and Business Impact: Making the Case through Metrics and AnalyticsCornerstone OnDemand
Proving the impact of a single learning investment is relatively easy. Answering the broader question of "What impact is L&D having on the business?" is hard.
Operations management involves organizing a company's resources to transform inputs into outputs through production. The three main functions of any organization are marketing, production/operations, and finance/accounting. Operations managers are responsible for planning, organizing, staffing, leading, and controlling a company's productive activities. Their key decisions include designing products and processes, managing quality, determining capacity and location, and scheduling production. As the economy has shifted from manufacturing to services, operations management now applies to both tangible goods and intangible services. Improving productivity through more efficient use of resources is an ongoing challenge for operations managers.
This document contains a presentation from the Bomb Dot Com team for their MBA Strategic Management class business simulation. It includes sections on their strategic vision, company performance over decision rounds, strategy evolution, closest competitors, and potential new strategic decisions. It discusses trends in revenues, EPS, ROE, credit rating, stock price, image rating, unit sales, and market share. It also covers the company's production, workforce compensation, finance, and lessons learned.
Discussion 1 Analysis of Financial Statements.A. This discussi.docxfelipaser7p
Discussion 1: Analysis of Financial Statements
.
A. This discussion assignment will allow for the completion of a ratio analysis. It will also provide information that will be useful as you prepare the written report for Assignment 1: Financial Research Report, which is due at the end of Week 9.
Step 1
: Select a publicly-traded company that you will (or might) use for Assignment 1: Financial Research Report, which is due at the end of Week 9.
Step 2
: Locate financial ratio data from Mergent Online. Financial statements, ratios, and other useful information are available from the Mergent Online database that is available through the Strayer University Learning Resource Center (online). Please notice that financial ratios are grouped into appropriate categories (Profitability Ratios, Liquidity Ratios, Debt Management Ratios, and Asset Management Ratios), which makes it easy to set up the ratios and use them in the analysis.
Accessing the Mergent Online Database – Financial Statements for companies, financial ratios, and Form 10K annual reports can be obtained from the Strayer University Learning Resource Center, which is accessible from the Online Classroom (see tab at the top of the screen).
Select – Learning Resource Center
Select – Databases
Select Mergent Online
Then, in the block titled “Company Search – Enter Symbol or Company Name” enter the company’s name or its Stock Ticker Symbol (e.g., for McCormick & Company, enter MKC). Next, select the company from the drop-down menu.
For Financial Statements – Select “Company Financials” tab
For Financial Ratios – Select “Company Financials” tab and “Ratios” sub-tab
For Form 10K Annual Reports – Select “Filings” tab (and then select the most recent Annual Form 10K report)
Step 3
: Enter the financial ratio data into the Financial Ratio Analysis Model (the attached Excel spreadsheet). The data need to be entered into the yellow-coded cells (column is titled “Oldest Year”) progressing to the most recent year on the left (column is titled “Most Recent Year”).
The model presently contains financial information for McCormick & Company (Stock Ticker MKC).
You will note that the Excel spreadsheet model is programmed to identify if each ratio improved or deteriorated over the time period. And, the spreadsheet is programmed to calculate the percentage change in each of the ratios during the same period. This information should be helpful as you prepare your analysis.
(Note: This spreadsheet could be “imported” into the Assignment 1: Financial Research Report due at the end of Week 10.)
Step 4
: Prepare an analysis and discussion of the financial ratio data that are examined in the Financial Ratio Analysis Model. It is always appropriate to include the actual ratio data in the written analysis in addition to its presentation in a table, chart or graph.
(Note: In addition to Mergent, another good source of financial data and company information is:
http://www.advfn.com
.)
B. Fr.
The document discusses various forecasting techniques including qualitative and quantitative methods. It describes exponential smoothing, which weights recent data more heavily than older data. An example shows how to use exponential smoothing with a smoothing constant of 0.1 to forecast quarterly port cargo volumes over 8 quarters. The forecast for the 9th quarter is calculated as 178.02 based on the previous actual and forecast values.
Business Valuation Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Presenting this set of slides with name - Business Valuation Powerpoint Presentation Slides. The stages in this process are Business Valuation, Financial Analysis, Economic Valuation. https://bit.ly/3H7pGDR
This document discusses time-series forecasting and index numbers. It begins by outlining the chapter goals, which are to develop basic forecasting models, identify time-series components, use smoothing and trend-based forecasting models, forecast seasonal data, and compute index numbers. The document then explains key concepts like time-series plots and components, moving averages, exponential smoothing, trend-based forecasting using linear, quadratic and exponential models, and model selection criteria. Examples are provided throughout to illustrate time-series smoothing and forecasting techniques.
Business Valuation PowerPoint Presentation SlidesSlideTeam
Presenting this set of slides with name - Business Valuation PowerPoint Presentation Slides. The stages in this process are Business Valuation, Financial Analysis, Economic Valuation.
Strategic Value of Learning & DevelopmentDavid Vachell
The document discusses how to build a strategic business case for learning and development (L&D) investments in organizations. It suggests starting with the potential impact of L&D programs rather than just costs. It provides a framework to calculate return on investment and benefit-cost ratios for L&D programs to prioritize investments. The framework includes estimating fixed costs, per-participant costs and benefits, and number of participants to calculate total costs and benefits. It also discusses using participant feedback and estimates shortly after training to predict longer-term impacts and communicate performance against plans.
Similar to Chapter 5To accompanyQuantitative Analysis for Manag.docx (20)
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Chapter 8 - Children of alcoholics often display characteristic traits: (1) the "hero" who attempts to replace the dysfunctional parent by overachieving, or (2) the "jester" who compensates for a lack of parental guidance by being mischievous and unruly. Which role did Beethoven play in his family? What is the evidence for your choice? 100+ words
Chapter 9 - Discuss the way travel might have affected composers (for example, Mendelssohn). If you have been outside the U.S., or even taveled far within the U.S., what effect did it have on you? 100+ words
.
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The above submission should be one-page in length and adhere to APA formatting standards.
.
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Chapter 7:
Victimology and Patterns of Victimization
The authors discuss the meaning of genocide, criminology’s aversion of the topic, and assertions of the United States’ own participation in it. Through reviewing a brief U.S. history, the authors argue that genocide stemming from the treatment of Native Americans throughout history should not be written off as radical conspiracy. Likening American Indian reservations to inner cities, a connection is made provoking questions between the historical treatment of African Americans and genocide.
Chapter 8: Lawmaking and the Administration of Criminal Law
This Chapter analyzes the impact that class, race, and gender have on shaping laws and the lawmaking process. Although criminal law is thought to be an objective measure of harm, it is instead the direct result of our political process headed by a powerful few, where money and privilege reign. The authors explain that the laws that shape our reality and perceptions of what is criminal serve the interests of the influential ruling class at the expense of the underclasses.
Discuss
one
of the following (Write Minimum of 250 words):
1. You learned in Chapter 7 that certain victims are valued above others. Why do you think that is? How do you think that impacts the U.S Criminal Justice System?
OR
2. According to Chapter 8, minorities are the labor pool that is regulated through punishment. How is this analysis relevant in criminal justice today?
.
Chapter 7Thinking and IntelligenceFigure 7.1 Thinking .docxrobertad6
Chapter 7
Thinking and Intelligence
Figure 7.1 Thinking is an important part of our human experience, and one that has captivated people for centuries.
Today, it is one area of psychological study. The 19th-century Girl with a Book by José Ferraz de Almeida Júnior, the
20th-century sculpture The Thinker by August Rodin, and Shi Ke’s 10th-century painting Huike Thinking all reflect the
fascination with the process of human thought. (credit “middle”: modification of work by Jason Rogers; credit “right”:
modification of work by Tang Zu-Ming)
Chapter Outline
7.1 What Is Cognition?
7.2 Language
7.3 Problem Solving
7.4 What Are Intelligence and Creativity?
7.5 Measures of Intelligence
7.6 The Source of Intelligence
Introduction
Why is it so difficult to break habits—like reaching for your ringing phone even when you shouldn’t, such
as when you’re driving? How does a person who has never seen or touched snow in real life develop an
understanding of the concept of snow? How do young children acquire the ability to learn language with
no formal instruction? Psychologists who study thinking explore questions like these.
Cognitive psychologists also study intelligence. What is intelligence, and how does it vary from person
to person? Are “street smarts” a kind of intelligence, and if so, how do they relate to other types of
intelligence? What does an IQ test really measure? These questions and more will be explored in this
chapter as you study thinking and intelligence.
In other chapters, we discussed the cognitive processes of perception, learning, and memory. In this
chapter, we will focus on high-level cognitive processes. As a part of this discussion, we will consider
thinking and briefly explore the development and use of language. We will also discuss problem solving
and creativity before ending with a discussion of how intelligence is measured and how our biology
and environments interact to affect intelligence. After finishing this chapter, you will have a greater
appreciation of the higher-level cognitive processes that contribute to our distinctiveness as a species.
Chapter 7 | Thinking and Intelligence 217
7.1 What Is Cognition?
Learning Objectives
By the end of this section, you will be able to:
• Describe cognition
• Distinguish concepts and prototypes
• Explain the difference between natural and artificial concepts
Imagine all of your thoughts as if they were physical entities, swirling rapidly inside your mind. How is it
possible that the brain is able to move from one thought to the next in an organized, orderly fashion? The
brain is endlessly perceiving, processing, planning, organizing, and remembering—it is always active. Yet,
you don’t notice most of your brain’s activity as you move throughout your daily routine. This is only one
facet of the complex processes involved in cognition. Simply put, cognition is thinking, and it encompasses
the processes associated with perception, knowledge, problem solving, judgment, langu.
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Chapter 7
2. How does a false positive alarm differ from a false negative alarm? From a security perspective, which is less desirable?
3.
How does a network-based IDPS differ from a host-based IDPS?
14.
What is an open port? Why is it important to limit the number of open ports to those that are absolutely essential?
Chapter 8
3.
What is a cryptographic key, and what is it used for? What is a more formal name for a cryptographic key?
4.
What are the three basic operations in cryptography?
9.
What are the components of PKI?
.
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Chapter 7 covers Corporate Information Security and Privacy Regulation. Specifically, the Sarbanes Oxley Act of 2002 was passed as a result of the Enron scandal. Give a short synopsis of the Enron scandal and then provide a short synopsis of SOX.
Answer the question with a short paragraph, between 250 and 350 words. Brevity is a virtue. That is why you are limited to 350 words. If you can't present your hypothesis in 350 words or less then it is too complicated.
Remember that when you state a fact if you don't provide a reference, it is not a fact but rather an opinion.
submit it by 2/16/2020 at 4:59 PM EST
.
Chapter 7The Problem of EvilOf all the objections to theism pr.docxrobertad6
Chapter 7
The Problem of Evil
Of all the objections to theism presented by atheists, the most celebrated and oft-rehearsed, by far, is the problem of evil and suffering. Debates about evolution and the like notwithstanding, most reflective theists would likely agree that objections to belief in God posed by the occurrence of evil and suffering present a far more serious challenge than do objections from science. (In fact, one of the most popular lines of objection to theistic evolution is really a version of the problem of evil; it asks, How could a perfectly loving God employ a means of creation that proceeds by way of the systematic destruction of the weakest and most vulnerable creatures?) A distinction must be drawn, however, between the problem of evil as a philosophical objection to religious belief and the problem as a concerned question.
Some philosophers have put forward arguments from evil which purport to show that God does not exist or that belief in God is unreasonable. To such philosophical attacks, philosophical responses are appropriate. However, many people—believers and nonbelievers alike—are bothered by evil. When they are faced with suffering, on their own part or on the part of others, they may pose an agonizing Why? A philosophical argument is often the last thing such a person wants to hear; such an argument may appear irritatingly superficial or even callous. The person wants compassion and empathy, and the proper response may simply be to listen and try to share the other’s grief and questions. At such times the problem of evil calls more for pastoral care than for philosophical debate.
The philosophical problem of evil, on the other hand, can be posed briefly and sharply. It appears to many people that a perfectly good, all-knowing and all-powerful being, were he to exist, would not allow the kinds or quantity of evil and suffering that exists in our world. The underlying assumption of this argument is the intuition—common to many atheists and theists alike—that a good being eliminates evil as far as it is able to. God, being omniscient, should be aware of every instance of evil and suffering; being perfectly good, he would presumably want to eliminate all evil; being omnipotent, he should be able to do just that. If there were a God, therefore, one would expect not to find any evil in the world. Since one does find evil—and quite a bit of it—God must not exist. In this way, the existence of evil and suffering is thought to undermine the rationality of belief in God.
Types of Evil, Versions of the Problem and Types of Responses
The evils in the world which this argument takes as its basis are usually divided into two types. Moral evil is all the evil which is due to the actions of free, morally responsible beings. Murders, rapes and the hunger caused by social injustice would be examples of moral evil. Natural evil (or nonmoral evil) is all the evil that is not (or at least does not appear to be) due to the actions.
CHAPTER 7The CPU and MemoryThe Architecture of Comp.docxrobertad6
CHAPTER 7:
The CPU and Memory
The Architecture of Computer Hardware, Systems Software & Networking:
An Information Technology Approach
5th Edition, Irv Englander
John Wiley and Sons 2013
PowerPoint slides authored by Angela Clark, University of South Alabama
PowerPoint slides for the 4th edition were authored by Wilson Wong, Bentley University
CPU and MemoryEvery instruction executed by the CPU requires memory accessPrimary memory holds program instructions and dataSecondary storage is used for long term storageData is moved from secondary storage to primary memory for CPU execution
Copyright 2013 John Wiley & Sons, Inc.
7-*
Copyright 2013 John Wiley & Sons, Inc.
CPU: Major ComponentsALU (arithmetic logic unit)Performs calculations and comparisonsCU (control unit)Performs fetch/execute cycle
Accesses program instructions and issues commands to the ALU
Moves data to and from CPU registers and other hardware componentsSubcomponents:
Memory management unit: supervises fetching instructions and data from memory
I/O Interface: sometimes combined with memory management unit as Bus Interface Unit
Copyright 2013 John Wiley & Sons, Inc.
7-*
Copyright 2013 John Wiley & Sons, Inc.
*
System Block Diagram
Copyright 2013 John Wiley & Sons, Inc.
7-*
Copyright 2013 John Wiley & Sons, Inc.
*
The Little Man Computer
Copyright 2013 John Wiley & Sons, Inc.
7-*
Copyright 2013 John Wiley & Sons, Inc.
*
Concept of RegistersSmall, permanent storage locations within the CPU used for a particular purposeManipulated directly by the Control UnitWired for specific functionSize in bits or bytes (not in MB like memory) Can hold data, an address, or an instructionHow many registers does the LMC have?What are the registers in the LMC?
Copyright 2013 John Wiley & Sons, Inc.
7-*
Copyright 2013 John Wiley & Sons, Inc.
*
RegistersUse of RegistersScratchpad for currently executing program
Holds data needed quickly or frequentlyStores information about status of CPU and currently executing program
Address of next program instruction
Signals from external devicesGeneral Purpose RegistersUser-visible or program-visible registersHold intermediate results or data values, e.g., loop countersEquivalent to LMC’s calculatorTypically several dozen in current CPUs
Copyright 2013 John Wiley & Sons, Inc.
7-*
Copyright 2013 John Wiley & Sons, Inc.
*
Special-Purpose RegistersProgram Counter Register (PC)Also called instruction pointer (IP)Instruction Register (IR)Stores instruction fetched from memoryMemory Address Register (MAR)Memory Data Register (MDR) Status RegistersStatus of CPU and currently executing programFlags (one bit Boolean variable) to track conditions like arithmetic carry and overflow, power failure, internal computer error
Copyright 2013 John Wiley & Sons, Inc.
7-*
Copyright 2013 John Wiley & Sons, Inc.
*
Register OperationsStores values from other locations (registers and memory)Addition and subtractionShift or rotate dataT.
Chapter 7QUESTION 1. Which of the following is defin.docxrobertad6
Chapter 7
QUESTION 1
.
Which of the following is defined as the persistnce of learning over time, through the encoding, storage and retrieval of memory?
.
memory
long-term memory
short-term memory
sensory memory
.
10 points
QUESTION 2
.
Which of the following refers to the processing of information outside of conscious awareness?
.
sensory memory
short-term memory
automatic processing
working memory
.
10 points
QUESTION 3
.
Behaviors such as texting and driving home would be considered...
.
explicit memories
automatic processing
implicit memories
working memory
.
10 points
QUESTION 4
.
Which of the following pieces of memory would you not process automatically?
.
Where your bed and dresser are in your room
A new acquaintances address
The location of your PSY110 classroom
How to spell your name
.
10 points
QUESTION 5
.
Cramming has actually been shown to be an effective method of learning new information.
.
True
.
False
.
10 points
QUESTION 6
.
Mood can be a retrieval cue.
.
True
.
False
.
10 points
QUESTION 7
.
Which of the following brain structures is responsible for temporarily holding memories until they can be moved to storage?
.
basal ganglia
frontal lobe
cerebellum
hippocampus
.
10 points
QUESTION 8
.
Which of the following brain structures is most involved with you learning motor movements such as how to ride a bike?
.
brain stem
basal ganglia
frontal lobe
hippocampus
.
10 points
QUESTION 9
.
If you have to take a foreign language at Valpo and you took a foreign language in high school, you would benefit from taking the same language at Valpo as you did in high school because you would benefit most from which of the following?
.
Recall
Relearning
Recognition
.
10 points
QUESTION 10
.
This very multiple choice question, which is asking you to identify previously learned material, requires you to make use of which of the following skills?
.
relearning
recall
recognition
.
Chapter 2
QUESTION 1
.
Neurons are...
.
basic building blocks of the nervous system
extensions of the cell body that receive messages
extensions of the cell body that send messages
a nerve impulse
.
10 points
QUESTION 2
.
Everything psychological is simultaneously biological
.
True
.
False
.
10 points
QUESTION 3
.
Brain plasticity allows us to adapt to new environments
.
True
.
False
.
10 points
QUESTION 4
.
The nervous system consists of...
.
the sympathetic and the parasympathetic nervous systems
the brain and spinal cord
the central nervous system and the peripheral nervous system
.
10 points
QUESTION 5
.
Neurotransmitters...
.
include serotonin and dopamine and affect behaviors and emotions
are electrical impulses in the brain
the form of communication between motor neurons and sensory neurons
are natural opiates released in response to pain
.
10 p.
Chapter 7One pageAPA stylePlease comment on the followin.docxrobertad6
Chapter 7
One page
APA style
Please comment on the following statement regarding our current educational system and examples of practices
:
"
It
is a cardinal precept of the newer school of education that the
beginning of instruction shall be made with the experience learners
already have; that this experience and the capacities that have been
developed during its course provide the starting point for all further
learning" (Dewey, 1938, p. 88
).
(
one page- deadline will be
Friday
.
CHAPTER 7
Managing Financial Operations
Revenue cycle (billing and collections)
Receivables management
Cash and marketable securities management
Inventory (supply chain) management
Operational monitoring and control
Copyright 2009 Health Administration Press
7 - ‹#›
Financial Operations
Financial operations involves the day-to-day oversight of such tasks as billing and collections (revenue cycle), cash management, and inventory management.
The specifics are highly dependent on the type of provider (e.g., hospital versus medical practice versus nursing home).
Thus, the focus here is on fundamental concepts as opposed to details.
Copyright 2009 Health Administration Press
7 - ‹#›
The Revenue Cycle
The revenue cycle is defined as all activities associated with billing and collecting for services.
In general, revenue cycle management should ensure that
patients are properly categorized by payer,
correct and timely billing takes place, and
correct and timely payment is received.
The revenue cycle includes the activities listed on the next slide.
Copyright 2009 Health Administration Press
7 - ‹#›
The Revenue Cycle (cont.)
Before-service activities:
Insurance verification
Certification of managed-care patients
Patient financial counseling
At-service activities:
Insurance status verification
Service documentation/claims production
After-service activities:
Claims submission
Third-party follow-up (if needed)
Denials management
Payment receipt and posting
Monitoring and reporting:
Monitoring
Review and improvement
Copyright 2009 Health Administration Press
7 - ‹#›
The Revenue Cycle (cont.)
In revenue cycle management, each of the identified activities is closely monitored to ensure that
the correct amount of reimbursement is collected on each patient,
reimbursements are collected as quickly as possible, and
the costs associated with the revenue cycle are minimized consistently with rapid and correct collections.
Two important keys to good revenue cycle management are information technology and electronic claims processing.
Copyright 2009 Health Administration Press
7 - ‹#›
Receivables Management
If a service is provided for cash, the revenue is immediately received.
If the service is provided on credit, the revenue is not received until the receivable is collected.
Receivables management, which falls under the general umbrella of the revenue cycle, is extremely important to healthcare providers.
Why?
Copyright 2009 Health Administration Press
7 - ‹#›
Accumulation of Receivables
Suppose Valley Clinic contracts with an insurer whose patients use $2,000 in services daily and who pays in 40 days.
The clinic will accumulate receivables at a rate of $2,000 per day.
However, after 40 days, the receivables balance will stabilize at $80,000:
Receivables = Daily sales × Average collection period
= $2,000
× 40
= $80,000
Copyright 2009 Health Administration Press
7 - ‹#›
Cost of Carrying Receiva.
CHAPTER 7Primate BehaviorWhat is Meant By Behavior.docxrobertad6
CHAPTER 7
Primate Behavior
What is Meant By Behavior?
• Anything organisms do that involves action in response to
internal or external stimuli.
• The response of an individual, group, or species to its
environment.
• Such responses may or may not be deliberate and they
aren't necessarily the results of conscious decision
making.
Ecological Perspective
• Pertains to relationships between organisms and
all aspects of their environment
• Temperature
• Predators
• Vegetation
• Availability of food and water
• Types of food
• Disease organisms
• Parasites
Behavioral Ecology
Focuses on the relationship between behaviors,
natural environment, and biological traits of the
species.
Based on the assumption that animals, plants, and
microorganisms evolved together.
Behaviors have evolved through the operation of
natural selection, or
Some behaviors are influenced by genes and are
subject to natural selection the same way physical
characteristics are.
The Evolution of Behavior
Behavior constitutes a phenotype
Individuals whose behavioral phenotypes increase
reproductive fitness pass on their genes at a faster
rate.
Genes do not code for specific behaviors, but they do
code for biological factors that impact behavior, i.e.
hormone levels, intelligence
Species vary in their limits and potentials for learning
and behavioral flexibility, set by genetic factors.
Natural selection acts on genetic factors shaped by
ecological, the same as it does physical
characteristics
Social Structure
• The composition, size, and sex ratio of a group of
animals.
• The social structure of a species is, in part, the
result of natural selection in a specific habitat, and
it guides individual interactions and social
relationships.
Why Are Primates Social?
• Group living exposes animals to competition with other group
members, so why not live alone?
• Costs of competition are offset by the benefits of predator
defense provided by associating with others.
• Group living evolved as an adaptive response to a number of
ecological variables.
Some Factors That Influence Social Structure
• Body Size
• Larger animals are better able to retain heat and their overall energy
requirements are less than for smaller animals
• This means they need fewer calories per unit of body weight.
Some Factors That Influence Social Structure
• Metabolism
• The chemical processes within cells that break down nutrients and release
energy for the body to use.
• Basal Metabolic Rate (BMR) and Diet
• Smaller animals generally have a higher BMR than larger ones.
• This means smaller primates require an energy-rich diet high in protein,
fats, and carbohydrates (fruit, and insects).
Some Factors That Influence Social Structure
• BMR and Diet
• Nutritional needs have evolved along with BMR and body size
• Benefits are considered in terms of energy (calories) obtained from food
.
Chapter 7Medical Care Production and Costs(c) 2012 Cengage.docxrobertad6
Chapter 7
Medical Care Production and Costs
(c) 2012 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use.
The Short-Run Production Function of the Representative Medical Firm
Assumptions of short-run production:
Medical firm produces a single output of medical services, q
Only two medical inputs exist: nurse-hours, n, and a composite capital good, k
Quantity of capital is fixed at some amount
(c) 2012 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use.
The Short-Run Production Function of the Representative Medical Firm
Medical firm faces an incentive to produce as efficiently as possible
Medical firm possesses perfect information regarding the demands for its product
(c) 2012 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use.
The Short-Run Production Function of the Representative Medical Firm
Production function:
Identifies different ways nurse-hours & capital can be combined
To produce various levels of medical services
(c) 2012 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use.
The Short-Run Production Function of the Representative Medical Firm
Each level of output produced by -
Several different combinations of the nurse and capital inputs
Each combination – assumed to be technically efficient – maximum amount of output that is feasible given the state of technology
(c) 2012 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classroom use.
The Short-Run Production Function of the Representative Medical Firm
Law of diminishing marginal productivity
At first, total output increases at an increasing rate
After some point, it increases at a decreasing rate
Total product curve, TP
Depicts total output produced by different levels of the variable input, holding all other inputs constant
(c) 2012 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license distributed with a certain product or service or otherwise on a password-protected website for classro.
CHAPTER 7FriendshipTHE NATURE OF FRIENDSHIPFRIENDSHIP ACROSS T.docxrobertad6
CHAPTER 7
Friendship
THE NATURE OF FRIENDSHIPFRIENDSHIP ACROSS THE LIFE CYCLEDIFFERENCES IN FRIENDSHIPFRIENDSHIP DIFFICULTIESFOR YOUR CONSIDERATIONCHAPTER SUMMARY
I get by with a little help from my friends. John Lennon
Take a moment and think about your two best friends. Why are they such close companions? Why do you think of them as friends? You probably like but don't love them. (Or, at least, you're not “in love” with them, or you'd probably think of them as more than just “friends.”) You've probably shared a lot of good times with them, and you feel comfortable around them; you know that they like you, too, and you feel that you can count on them to help you when you need it.
Indeed, the positive sentiments you feel toward your friends may actually be rather varied and complex. They annoy you sometimes, but you're fond of them, and because they're best friends, they know things about you that no one else may know. You like to do things with them, and you expect your relationship to continue indefinitely. In fact, if you look back at the features that define intimacy (way back on page 2), you may find that your connections to your best friends are quite intimate, indeed. You may have substantial knowledge of them, and you probably feel high levels of trust and commitment toward them; you may not experience as much caring, interdependence, responsiveness, and mutuality as you do with a romantic partner, but all three are present, nonetheless.
So, are friendships the same as but just less intimate than our romantic partnerships? Yes and no. Friendships are based on the same building blocks of intimacy as romances are, but the mix of components is usually different. Romances also have some ingredients that friendships typically lack, so their recipes do differ. But many of the elements of friendships and romances are quite similar, and this chapter will set the stage for our consideration of love (in chapter 8) by detailing what it means to like an intimate partner. Among other topics, I'll describe various features of friendship and question whether men and women can be “just friends.”
Page 214
THE NATURE OF FRIENDSHIP
Our friendships are indispensable sources of pleasure and support. One study of unmarried young adults found that over one-third of them (36 percent) considered a friendship to be their “closest, deepest, most involved, and most intimate” current relationship (Berscheid et al., 1989). A larger proportion (47 percent) identified a romantic relationship as their most important partnerships, but friendships were obviously significant connections to others. And they remain so, even after people marry. Another study that used an event-sampling procedure1 to track people's interactions found that they were generally having more fun when they were with friends than when they were alone or with family members, including their spouses. The best times occurred when both their spouses and their friends were present, but if it was one or.
Chapter 7
Food, Nutrition & Obesity Policy
Eyler, Chriqui, Moreland-Russell & Brownson, 2016
1
Identifying the Problem: Obesity & Its Consequences
Obesity = excessive body fat/bodyweight
BMI—a ratio of weight to height, calculated as kilograms divided by meters squared
Categorize an individual as obese = BMI ≥30
In children, obesity refers to a BMI greater than, or equal to, the 95th percentile
Obesity is a major risk factor for:
Type 2 diabetes, cardiovascular disease, and hypertension
Greater risk for additional comorbid health conditions, including stroke, arthritis, nonalcoholic fatty liver disease, kidney disease, and mental health problems related to social stigma
Eyler, Chriqui, Moreland-Russell & Brownson, 2016
2
Identifying the Problem: Obesity & Its Consequences
Disparities
Eyler, Chriqui, Moreland-Russell & Brownson, 2016
3
Identifying the Problem: Obesity & Its Consequences
Disparities: Children
Between 1980 and 2004, obesity prevalence tripled among children aged 2 to 19 years increasing from 6% to 19%
Overall prevalence has remained fairly stable since 2004
2011–2012 = 17% of children obese
Hispanic children have the highest obesity prevalence, followed by: non-Hispanic Black and non-Hispanic White children
Black children are more likely to be severely obese than are White children
Trends indicate the most pronounced increase of severe obesity in White female and Black male children
Eyler, Chriqui, Moreland-Russell & Brownson, 2016
4
Identifying the Problem: Obesity & Its Consequences
Disparities: Adults
More prevalent in non-Hispanic Blacks and Hispanics
Exists at the highest rate among all adults aged 40 to 59 years
Gender- and income-based obesity-related disparities exist among all racial and ethnic groups
Most pronounced among non-Hispanic Black women across all age categories
Higher income non- Hispanic Black and Mexican American men have slightly higher obesity prevalence rates than those with lower incomes
Adults in rural areas are significantly more likely to be obese than those in urban areas
WHY?
Eyler, Chriqui, Moreland-Russell & Brownson, 2016
5
Eyler, Chriqui, Moreland-Russell & Brownson, 2016
6
Identifying the Problem: Obesity & Its Consequences
The Costs of Obesity
$315.8 billion was spent on adult obesity-related direct healthcare costs in 2010
Majority of expenses resulting from the treatment of comorbid health conditions, particularly type 2 diabetes
Medicare and Medicaid spending would see decreases of 8.5% and 11.8% if obesity-related costs were removed from the analysis
Obesity-related absenteeism translates to an estimated cost of $8.65 billion per year in lost productivity
Eyler, Chriqui, Moreland-Russell & Brownson, 2016
7
Identifying the Problem: Obesity & Its Consequences
Obesogenic Environment
Eyler, Chriqui, Moreland-Russell & Brownson, 2016
8
https://youtu.be/5Rm7E2e1Su8
Identifying the Problem: Obesity & Its Consequences
Obesogenic Environment.
How Barcodes Can Be Leveraged Within Odoo 17Celine George
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Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
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Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
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إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
💀💀💀💀💀💀💀💀💀💀
تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
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Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
57. Thompson’s Decision Tree
Figure 3.2
Favorable Market
Unfavorable Market
Favorable Market
Unfavorable Market
Do Nothing
Construct Large Plant
1
Construct Small Plant
2
A Decision Node
A State-of-Nature Node
65. First Decision Point
Second Decision Point
Favorable Market (0.78)
Unfavorable Market (0.22)
Favorable Market (0.78)
Unfavorable Market (0.22)
Favorable Market (0.27)
Unfavorable Market (0.73)
Favorable Market (0.27)
Unfavorable Market (0.73)
Favorable Market (0.50)
Unfavorable Market (0.50)
66. Favorable Market (0.50)
Unfavorable Market (0.50)
Large Plant
Small Plant
No Plant
Large Plant
Small Plant
No Plant
Large Plant
Small Plant
No Plant