An actuary uses data and statistics to evaluate future risks and events, predict outcomes, and calculate insurance premiums and rates. Actuaries play a key role in the insurance industry by managing risk, which is at the core of insurance. They turn meaningless data into meaningful information to forecast events, unlike fortune tellers who use crystal balls.
An actuary uses data and statistics to evaluate future risks and events, predict outcomes, and calculate insurance rates and premiums. Actuaries make sense of numbers and past events to forecast the future, playing a key role in the insurance industry by managing risk and being central to calculating premium costs. Their work is in high demand within the insurance sector.
Top Five Ideas -- Statistics for Project ManagementJohn Goodpasture
The document discusses five key ideas from statistics that help project management: 1) most outcomes follow a bell curve distribution, 2) expected value is the best single number to represent average outcomes, 3) all estimates have uncertainty and can be expressed as distributions, 4) Monte Carlo simulation is an effective way to model distributions and outcomes, and 5) dependencies between tasks can increase uncertainty and extend schedules.
This document discusses effect size, which is a measure used to quantify the size of the difference between two groups. It is calculated by taking the difference between the means of two groups and dividing by the standard deviation. Effect sizes of 0.2, 0.5, and 0.8 are considered small, medium, and large, respectively. Meta-analyses often use effect sizes to combine results from different studies by standardizing outcomes. Visible Learning, a meta-analysis of 800 other meta-analyses, found that most educational interventions have a small positive effect size of around 0.4, which corresponds to a two year increase in achievement. Effect sizes are useful for comparing impacts across different studies and determining what types of teaching practices have
The document describes using various statistical analyses to compare environmental quality scores between two locations, Quinton and Ladywood. Central tendency measures including mean and median showed Quinton's average scores were positive while Ladywood's were negative. The inter-quartile range analysis revealed Ladywood's upper quartile was below Quinton's lower quartile, indicating a significant difference. A Mann-Whitney U test confirmed with over 99.9% confidence that Quinton's environmental quality scores were significantly higher than Ladywood's.
Strategies for Healthy, Data-driven BuildingsSarah Howard
Everyone defines health differently; in this presentation, we work to understand what good health means in the context of data-driven and energy-efficient buildings.
We'll explore simple, yet effective, strategies anyone can start using now to improve their buildings' indoor environment, promote sustainable practices, and reduce costs.
Topics of Discussion:
1. Why Healthy, Data-driven Buildings Matter - why and how to assess the health of your building based on industry benchmarks.
2. Create a Building Wellness Plan - get strategies on how to improve the health and efficiency of your current portfolio of buildings.
3. Success Stories from Real Organizations - see how other organizations have successfully implemented these strategies.
Custom event prospecting: Winning with Targeting in the Data Gold RushGabe Kwakyi
This document discusses using event prospecting to better target users. It begins with introducing the speaker and their background. It then discusses the goal of studying events to influence desired user behaviors. It provides examples of how Facebook has used event prospecting. The document outlines methods for event prospecting including defining user segments, gathering data, and correlation, inflection point, and decision tree analysis. It discusses applications like targeting quality users, activating power users, retaining users, making more money, and preventing undesirable behaviors. It also covers challenges and lessons learned from applying event prospecting via user acquisition.
El documento habla sobre Manolito, un niño con síndrome de Down que vive su vida con entusiasmo y alegría. Su familia le apoya para que pueda desarrollar todas sus capacidades. El objetivo es una sociedad que ofrezca las mismas oportunidades a Manolito para que pueda vivir de forma independiente.
An actuary uses data and statistics to evaluate future risks and events, predict outcomes, and calculate insurance premiums and rates. Actuaries play a key role in the insurance industry by managing risk, which is at the core of insurance. They turn meaningless data into meaningful information to forecast events, unlike fortune tellers who use crystal balls.
An actuary uses data and statistics to evaluate future risks and events, predict outcomes, and calculate insurance rates and premiums. Actuaries make sense of numbers and past events to forecast the future, playing a key role in the insurance industry by managing risk and being central to calculating premium costs. Their work is in high demand within the insurance sector.
Top Five Ideas -- Statistics for Project ManagementJohn Goodpasture
The document discusses five key ideas from statistics that help project management: 1) most outcomes follow a bell curve distribution, 2) expected value is the best single number to represent average outcomes, 3) all estimates have uncertainty and can be expressed as distributions, 4) Monte Carlo simulation is an effective way to model distributions and outcomes, and 5) dependencies between tasks can increase uncertainty and extend schedules.
This document discusses effect size, which is a measure used to quantify the size of the difference between two groups. It is calculated by taking the difference between the means of two groups and dividing by the standard deviation. Effect sizes of 0.2, 0.5, and 0.8 are considered small, medium, and large, respectively. Meta-analyses often use effect sizes to combine results from different studies by standardizing outcomes. Visible Learning, a meta-analysis of 800 other meta-analyses, found that most educational interventions have a small positive effect size of around 0.4, which corresponds to a two year increase in achievement. Effect sizes are useful for comparing impacts across different studies and determining what types of teaching practices have
The document describes using various statistical analyses to compare environmental quality scores between two locations, Quinton and Ladywood. Central tendency measures including mean and median showed Quinton's average scores were positive while Ladywood's were negative. The inter-quartile range analysis revealed Ladywood's upper quartile was below Quinton's lower quartile, indicating a significant difference. A Mann-Whitney U test confirmed with over 99.9% confidence that Quinton's environmental quality scores were significantly higher than Ladywood's.
Strategies for Healthy, Data-driven BuildingsSarah Howard
Everyone defines health differently; in this presentation, we work to understand what good health means in the context of data-driven and energy-efficient buildings.
We'll explore simple, yet effective, strategies anyone can start using now to improve their buildings' indoor environment, promote sustainable practices, and reduce costs.
Topics of Discussion:
1. Why Healthy, Data-driven Buildings Matter - why and how to assess the health of your building based on industry benchmarks.
2. Create a Building Wellness Plan - get strategies on how to improve the health and efficiency of your current portfolio of buildings.
3. Success Stories from Real Organizations - see how other organizations have successfully implemented these strategies.
Custom event prospecting: Winning with Targeting in the Data Gold RushGabe Kwakyi
This document discusses using event prospecting to better target users. It begins with introducing the speaker and their background. It then discusses the goal of studying events to influence desired user behaviors. It provides examples of how Facebook has used event prospecting. The document outlines methods for event prospecting including defining user segments, gathering data, and correlation, inflection point, and decision tree analysis. It discusses applications like targeting quality users, activating power users, retaining users, making more money, and preventing undesirable behaviors. It also covers challenges and lessons learned from applying event prospecting via user acquisition.
El documento habla sobre Manolito, un niño con síndrome de Down que vive su vida con entusiasmo y alegría. Su familia le apoya para que pueda desarrollar todas sus capacidades. El objetivo es una sociedad que ofrezca las mismas oportunidades a Manolito para que pueda vivir de forma independiente.
Oct 2017 Measurement Hour: Highlights from the Summit on the Future of Measur...Paine Publishing
The document summarizes Katie Paine's presentation on measurement and the future of communications at the Summit on the Future of Communications. The presentation discussed various topics including how to understand an uncertain future through scenarios, dealing with risk and uncertainty, and the importance of understanding risk. It also provided case studies on how Southwest Airlines and Cisco use data and analytics in communications measurement. Key themes from research on measurement standards and examples from Exeter Health Resources were also summarized.
This document discusses the rise of predictive analytics and its value in enterprise decision making. It begins by explaining how predictive analytics has expanded from niche uses to a widely adopted competitive technique, fueled by big data, improved analytics tools, and demonstrated successes. A classic example given is credit scoring, which uses predictive models to assess credit risk. The document then provides examples of other areas where predictive models generate value, such as marketing, customer retention, pricing, and fraud prevention. It discusses how effective predictive models are built by using statistical techniques on data that describes predictive factors and outcomes. The document argues that predictive models provide the most value when applied to processes involving large volumes of similar decisions that have significant financial or other impacts, and where relevant electronic
Cutting Edge Economic Techniques for Assessing Regional InnovationsPenn State University
The document discusses three cutting edge economic techniques for assessing regional innovations: input-output analysis, counterfactual analysis, and records linkages. Input-output analysis uses tables to organize data on production and consumption across industries and calculate economic multipliers. Counterfactual analysis uses models to examine hypothetical scenarios and their implications. Records linkages match youth and unemployment data to study employment outcomes over time while preserving confidentiality.
SMB owners are feeling very optimistic about business prospects in 2017 based on a recent survey. Growth industries like healthcare, accommodations, and professional services are driving growth among SMBs. However, issues like rising healthcare costs, cybersecurity threats, and adapting to Millennial workers' needs may challenge SMBs in the coming year. Over 550,000 SMBs could fail in 2017 due to cybersecurity breaches if trends continue. The Latino-owned business sector is a major driver of jobs and economic growth with revenues projected to reach $640 billion in 2017.
This document presents a market research report analyzing the relationship between advertising spending and product sales using regression analysis. The report analyzes data on sales and advertising budgets for TV, radio, and newspaper across 200 markets. Scatter plots show a linear relationship between sales and TV/radio spending. Regression results indicate TV and radio spending have a significant positive correlation with sales, while newspaper spending does not. This implies companies should focus TV and radio advertising over newspaper. Assumptions of the linear model are also checked. Further research using non-linear models or including social media data is recommended.
The document contains confidential information about AAUM. Disclosing this information could damage AAUM. AAUM owns all confidential information in any media.
Market Research using SPSS _ Edu4Sure Sept 2023.pptEdu4Sure
SPSS Training Related Content. There is practical training on the tool. The PPT is for reference purpose.
For any training need, kindly connect us at partner@edu4sure.com or call us at +91-9555115533.
For more courses at our LMS, you can also refer www.testformula.com
#Edu4Sure #SPSS #Training #Certificate
This document provides information about obtaining fully solved assignments from an assignment help service. It lists contact details including a phone number and email address to call or send details of semester and specialization to get help with MBA assignments. It then provides details of an MBA statistics assignment for semester 1 on the topic of statistics for management, including 6 questions to answer with evaluation criteria for each.
Big data refers to large volumes of structured and unstructured data that businesses receive daily. While the amount of data is large, it is what organizations do with the data that matters, as big data can be analyzed for insights to make better decisions and strategic moves. The potential of big data has received significant attention, but predictive analytics using big data may only provide marginal improvements over previous methods. Examples show that big data has helped Netflix improve movie recommendations and helped companies better target web advertising, though predictions are still often incorrect or ignored. For managers, while big data may improve predictions, its biggest impact will be enabling new areas through artificial intelligence.
The Impact of the Current Economy on Compensation ManagementPayScale, Inc.
Join James Redfern, Chief Financial Officer and Becky Wood, Sr. Applied Analytics Adviser, as they dive into wages pre, during, and post pandemic – and what this means for economic recovery.
Blake Bartlett - Partner / OpenView
Kyle Poyar - Sr. Director, Market Strategy / OpenView
Pricing and packaging is one of the most powerful, yet overlooked levers to drive growth in a SaaS business. In this session, you'll find out how to price and package your product from MVP to IPO.
Using Analytics To Make Smart HR DecisionsBambooHR
The document discusses emerging capabilities for HR leaders, including data- and analytics-based decision making. It notes that while many companies see people analytics as important, few have strong capabilities in this area. Several barriers to effective use of people analytics are identified, including outdated technologies, lack of data consolidation, and not knowing what or how to measure. The document provides examples of people analytics measures that can be used to assess compensation plans, recruitment, retention, engagement, and budget impact. It emphasizes starting small with people analytics and focusing on return on investment.
Dive deep into the world of insurance churn prediction with this captivating data analysis project presented by Boston Institute of Analytics. Our talented students embark on a journey to unravel the mysteries behind customer churn in the insurance industry, leveraging advanced data analysis techniques to forecast and anticipate customer behavior. From analyzing historical data and customer demographics to identifying predictive indicators and developing churn prediction models, this project offers a comprehensive exploration of the factors influencing insurance churn dynamics. Gain valuable insights and actionable recommendations derived from rigorous data analysis, presented in an engaging and informative format. Don't miss this opportunity to delve into the fascinating realm of data analysis and unlock new perspectives on insurance churn prediction. Explore the project now and embark on a journey of discovery with Boston Institute of Analytics. To learn more about our data science and artificial intelligence programs, visit https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/.
If you\'re preparing to take in investment then what are the things you\'re going to need to consider re the financial plans, the market context and your place in the good the bad and the ugly for your sector.
The document discusses financial management benchmarks and metrics that can help businesses improve. It introduces MyCake, a service that provides individualized benchmarks and comparisons on key financial indicators such as costs, profits, and expenditures. Businesses that sign up for MyCake get insights into how their performance compares to industry averages and top performers. This helps companies identify goals and areas for improvement. MyCake ensures user data is kept private and secure.
Assisted LA City Controller to identify patterns of behavior and practices from workers' compensation claimants and providers which result in increased and inflated costs to the program
Used advanced data analysis techniques and analyzed more than 35 datasets.
What is the most important thing that changes during times of recession? Customer behavior. Building a good customer experience through experimentation can help retain existing customers, strengthen brand loyalty, and gain valuable insights.
The document discusses a model being developed to project DC plan cash flows based on evolving generational demographics. It analyzes how contributions and distributions may be impacted out to 2045. Several scenarios are explored to test how incremental savings increases from Millennials and Gen Xers could offset expected distributions from retiring Baby Boomers. Key insights include that contributions may not outweigh distributions until the late 2020s or early 2030s without changes to savings rates among younger cohorts. Plan design features and targeted campaigns may be needed to increase savings 1-2% from Millennials and Gen Xers to accelerate the timeline.
The document discusses how economic change is continuous and revolutionary technological changes are common throughout history. It uses the example of the transition from silent films to "talkies" in the 1920s-1930s in the US to illustrate how new technologies can create new jobs and destroy old ones. Specifically, the advent of talkies created jobs for technicians but displaced many musicians who provided music for silent films. While change often faces resistance, attempts to restrict new technologies have failed because businesses need to satisfy customers and improve efficiency. The document argues that current technological changes through artificial intelligence and other technologies may have a similar impact of changing and eliminating many jobs, but will also create new jobs. Overall, the lesson from history is that workers should expect changes,
This document discusses research design and data analysis. It explains that a research design establishes methods for collecting, organizing, and analyzing variables to minimize threats to the validity of conclusions. It also defines key terms like observations, treatments, and random assignment of experimental units to conditions. Charts are included showing examples of research designs with different arrangements of observations and treatments over time.
Oct 2017 Measurement Hour: Highlights from the Summit on the Future of Measur...Paine Publishing
The document summarizes Katie Paine's presentation on measurement and the future of communications at the Summit on the Future of Communications. The presentation discussed various topics including how to understand an uncertain future through scenarios, dealing with risk and uncertainty, and the importance of understanding risk. It also provided case studies on how Southwest Airlines and Cisco use data and analytics in communications measurement. Key themes from research on measurement standards and examples from Exeter Health Resources were also summarized.
This document discusses the rise of predictive analytics and its value in enterprise decision making. It begins by explaining how predictive analytics has expanded from niche uses to a widely adopted competitive technique, fueled by big data, improved analytics tools, and demonstrated successes. A classic example given is credit scoring, which uses predictive models to assess credit risk. The document then provides examples of other areas where predictive models generate value, such as marketing, customer retention, pricing, and fraud prevention. It discusses how effective predictive models are built by using statistical techniques on data that describes predictive factors and outcomes. The document argues that predictive models provide the most value when applied to processes involving large volumes of similar decisions that have significant financial or other impacts, and where relevant electronic
Cutting Edge Economic Techniques for Assessing Regional InnovationsPenn State University
The document discusses three cutting edge economic techniques for assessing regional innovations: input-output analysis, counterfactual analysis, and records linkages. Input-output analysis uses tables to organize data on production and consumption across industries and calculate economic multipliers. Counterfactual analysis uses models to examine hypothetical scenarios and their implications. Records linkages match youth and unemployment data to study employment outcomes over time while preserving confidentiality.
SMB owners are feeling very optimistic about business prospects in 2017 based on a recent survey. Growth industries like healthcare, accommodations, and professional services are driving growth among SMBs. However, issues like rising healthcare costs, cybersecurity threats, and adapting to Millennial workers' needs may challenge SMBs in the coming year. Over 550,000 SMBs could fail in 2017 due to cybersecurity breaches if trends continue. The Latino-owned business sector is a major driver of jobs and economic growth with revenues projected to reach $640 billion in 2017.
This document presents a market research report analyzing the relationship between advertising spending and product sales using regression analysis. The report analyzes data on sales and advertising budgets for TV, radio, and newspaper across 200 markets. Scatter plots show a linear relationship between sales and TV/radio spending. Regression results indicate TV and radio spending have a significant positive correlation with sales, while newspaper spending does not. This implies companies should focus TV and radio advertising over newspaper. Assumptions of the linear model are also checked. Further research using non-linear models or including social media data is recommended.
The document contains confidential information about AAUM. Disclosing this information could damage AAUM. AAUM owns all confidential information in any media.
Market Research using SPSS _ Edu4Sure Sept 2023.pptEdu4Sure
SPSS Training Related Content. There is practical training on the tool. The PPT is for reference purpose.
For any training need, kindly connect us at partner@edu4sure.com or call us at +91-9555115533.
For more courses at our LMS, you can also refer www.testformula.com
#Edu4Sure #SPSS #Training #Certificate
This document provides information about obtaining fully solved assignments from an assignment help service. It lists contact details including a phone number and email address to call or send details of semester and specialization to get help with MBA assignments. It then provides details of an MBA statistics assignment for semester 1 on the topic of statistics for management, including 6 questions to answer with evaluation criteria for each.
Big data refers to large volumes of structured and unstructured data that businesses receive daily. While the amount of data is large, it is what organizations do with the data that matters, as big data can be analyzed for insights to make better decisions and strategic moves. The potential of big data has received significant attention, but predictive analytics using big data may only provide marginal improvements over previous methods. Examples show that big data has helped Netflix improve movie recommendations and helped companies better target web advertising, though predictions are still often incorrect or ignored. For managers, while big data may improve predictions, its biggest impact will be enabling new areas through artificial intelligence.
The Impact of the Current Economy on Compensation ManagementPayScale, Inc.
Join James Redfern, Chief Financial Officer and Becky Wood, Sr. Applied Analytics Adviser, as they dive into wages pre, during, and post pandemic – and what this means for economic recovery.
Blake Bartlett - Partner / OpenView
Kyle Poyar - Sr. Director, Market Strategy / OpenView
Pricing and packaging is one of the most powerful, yet overlooked levers to drive growth in a SaaS business. In this session, you'll find out how to price and package your product from MVP to IPO.
Using Analytics To Make Smart HR DecisionsBambooHR
The document discusses emerging capabilities for HR leaders, including data- and analytics-based decision making. It notes that while many companies see people analytics as important, few have strong capabilities in this area. Several barriers to effective use of people analytics are identified, including outdated technologies, lack of data consolidation, and not knowing what or how to measure. The document provides examples of people analytics measures that can be used to assess compensation plans, recruitment, retention, engagement, and budget impact. It emphasizes starting small with people analytics and focusing on return on investment.
Dive deep into the world of insurance churn prediction with this captivating data analysis project presented by Boston Institute of Analytics. Our talented students embark on a journey to unravel the mysteries behind customer churn in the insurance industry, leveraging advanced data analysis techniques to forecast and anticipate customer behavior. From analyzing historical data and customer demographics to identifying predictive indicators and developing churn prediction models, this project offers a comprehensive exploration of the factors influencing insurance churn dynamics. Gain valuable insights and actionable recommendations derived from rigorous data analysis, presented in an engaging and informative format. Don't miss this opportunity to delve into the fascinating realm of data analysis and unlock new perspectives on insurance churn prediction. Explore the project now and embark on a journey of discovery with Boston Institute of Analytics. To learn more about our data science and artificial intelligence programs, visit https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/.
If you\'re preparing to take in investment then what are the things you\'re going to need to consider re the financial plans, the market context and your place in the good the bad and the ugly for your sector.
The document discusses financial management benchmarks and metrics that can help businesses improve. It introduces MyCake, a service that provides individualized benchmarks and comparisons on key financial indicators such as costs, profits, and expenditures. Businesses that sign up for MyCake get insights into how their performance compares to industry averages and top performers. This helps companies identify goals and areas for improvement. MyCake ensures user data is kept private and secure.
Assisted LA City Controller to identify patterns of behavior and practices from workers' compensation claimants and providers which result in increased and inflated costs to the program
Used advanced data analysis techniques and analyzed more than 35 datasets.
What is the most important thing that changes during times of recession? Customer behavior. Building a good customer experience through experimentation can help retain existing customers, strengthen brand loyalty, and gain valuable insights.
The document discusses a model being developed to project DC plan cash flows based on evolving generational demographics. It analyzes how contributions and distributions may be impacted out to 2045. Several scenarios are explored to test how incremental savings increases from Millennials and Gen Xers could offset expected distributions from retiring Baby Boomers. Key insights include that contributions may not outweigh distributions until the late 2020s or early 2030s without changes to savings rates among younger cohorts. Plan design features and targeted campaigns may be needed to increase savings 1-2% from Millennials and Gen Xers to accelerate the timeline.
The document discusses how economic change is continuous and revolutionary technological changes are common throughout history. It uses the example of the transition from silent films to "talkies" in the 1920s-1930s in the US to illustrate how new technologies can create new jobs and destroy old ones. Specifically, the advent of talkies created jobs for technicians but displaced many musicians who provided music for silent films. While change often faces resistance, attempts to restrict new technologies have failed because businesses need to satisfy customers and improve efficiency. The document argues that current technological changes through artificial intelligence and other technologies may have a similar impact of changing and eliminating many jobs, but will also create new jobs. Overall, the lesson from history is that workers should expect changes,
This document discusses research design and data analysis. It explains that a research design establishes methods for collecting, organizing, and analyzing variables to minimize threats to the validity of conclusions. It also defines key terms like observations, treatments, and random assignment of experimental units to conditions. Charts are included showing examples of research designs with different arrangements of observations and treatments over time.
Validity of conclusions, internal validity, and external validity; research d...Penn State University
A research design outlines the methods used to collect, organize, and analyze variables in a study. It aims to minimize threats to the validity of conclusions by specifying experimental conditions and random assignment of subjects. Observations of experimental units are made both before and after treatments or activities to measure their effects over time.
The document discusses the purpose and process of data analysis. It aims to systematically collect, organize, and analyze data to answer research questions without ambiguity. The analysis involves description, exploration, and explanation of data to construct and test theories, and investigate prediction, correlation, and causation. While research design is the overall plan, methods are the specific strategies used to implement the design.
This document discusses key concepts related to data analysis and hypothesis testing. It explains that theories are composed of testable propositions and hypotheses. Hypotheses are evaluated through empirical research designed to test specific predictions. Researchers specify a null hypothesis and alternate hypothesis, collect data, and use statistical tests to either reject or fail to reject the null hypothesis. The goal is to minimize type 1 and type 2 errors by selecting an appropriate significance level and sample size. Traditional hypothesis testing uses an alpha level of 0.05. The document provides examples of how to state hypotheses, select a significance level, calculate test statistics, and make conclusions based on comparing p-values to the alpha level.
This document discusses statistical concepts and measurement, types of variables, and key terms for data analysis. It addresses:
- How variables are measured and the levels of measurement (nominal, ordinal, interval, ratio).
- The difference between discrete and continuous variables.
- Key terms like population, sample, parameter, and statistic and how inferences are made about populations based on statistics from samples.
- The components of theories, including propositions, nomological networks, and hypotheses testing.
- Important sources for PhD students, including familiarity with key concepts and links to additional documents.
Sharing Science: Tools for Improving our Research, Teaching, and ImpactPenn State University
Presented by Ryan Watkins, Professor, George Washington University, rwatkins@gwu.edu
Presented at The University Council for Workforce and Human Resource Education Fall 2018 Webinar
This document provides an analysis of labor force data from the Bureau of Labor Statistics and Census Bureau, including definitions of key terms like the unemployment rate, labor force participation rate, and employment population ratio. Formulas are given for calculating these rates based on data for the civilian working age population, those in the labor force, employed, unemployed, and out of the labor force by gender.
This document discusses data visualization and the ggplot2 package in R. It explains that ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics, which breaks graphs down into semantic components like scales and layers. It also notes that ggplot2 must be installed and loaded to be used, and should not be reinstalled if it is already present. Finally, it outlines that ggplot2 graphs have three main components: the data, the geometry defining the graph type, and the aesthetics specifying which variables are plotted.
This document summarizes key concepts in data analysis including:
1) Types of variables including nominal, ordinal, interval, and ratio levels of measurement.
2) Types of data including discrete and continuous variables.
3) Descriptions of datasets, data frames, frequency tables, and joint distributions.
4) Components of frequency tables including frequency, relative frequency, cumulative frequency, and relative cumulative frequency.
This document discusses tidy data principles for data analysis:
1. Each variable must have its own column.
2. Each observation must have its own row.
3. Each value must have its own cell.
It also discusses different measurement levels for variables including nominal, ordinal, interval, and ratio scales and provides examples of each.
This document provides instructions for reading different file types into R for data analysis. It explains how to use the read.table and read.csv functions to import text and CSV files located either locally or online. For text files, the functions read the file and assign it to an object name. It also recommends using the Import Dataset tab for ease of loading files.
The document summarizes the first class meeting of a data analysis course. It outlines the course goals of learning R and RStudio, expectations including weekly quizzes and assignments, and how students can succeed through preparation, practice, and participating in discussions. Remote participation and attendance policies are also addressed.
Sasha and Rose discussed handing off hosting duties for an upcoming Zoom meeting on April 5th where general advice would be provided to participants who would practice sharing their screens and using audio while giving presentations. The meeting URL would remain open for the next week so attendees could practice beforehand, and a link to a presentation and instructional video about successful Zoom presenting would be shared after the session. All were asked to assemble on the Zoom call by 3:45pm Eastern on April 5th.
Structural Model of Topics in Academy of Human Resource Development Journals,...Penn State University
< demonstrate text mining procedures for modeling topics evident in the universe of 1,905 peer-reviewed articles published between 1990 and 2015 in AHRD’s four refereed journals >
SATTA MATKA SATTA FAST RESULT KALYAN TOP MATKA RESULT KALYAN SATTA MATKA FAST RESULT MILAN RATAN RAJDHANI MAIN BAZAR MATKA FAST TIPS RESULT MATKA CHART JODI CHART PANEL CHART FREE FIX GAME SATTAMATKA ! MATKA MOBI SATTA 143 spboss.in TOP NO1 RESULT FULL RATE MATKA ONLINE GAME PLAY BY APP SPBOSS
How to Implement a Strategy: Transform Your Strategy with BSC Designer's Comp...Aleksey Savkin
The Strategy Implementation System offers a structured approach to translating stakeholder needs into actionable strategies using high-level and low-level scorecards. It involves stakeholder analysis, strategy decomposition, adoption of strategic frameworks like Balanced Scorecard or OKR, and alignment of goals, initiatives, and KPIs.
Key Components:
- Stakeholder Analysis
- Strategy Decomposition
- Adoption of Business Frameworks
- Goal Setting
- Initiatives and Action Plans
- KPIs and Performance Metrics
- Learning and Adaptation
- Alignment and Cascading of Scorecards
Benefits:
- Systematic strategy formulation and execution.
- Framework flexibility and automation.
- Enhanced alignment and strategic focus across the organization.
HOW TO START UP A COMPANY A STEP-BY-STEP GUIDE.pdf46adnanshahzad
How to Start Up a Company: A Step-by-Step Guide Starting a company is an exciting adventure that combines creativity, strategy, and hard work. It can seem overwhelming at first, but with the right guidance, anyone can transform a great idea into a successful business. Let's dive into how to start up a company, from the initial spark of an idea to securing funding and launching your startup.
Introduction
Have you ever dreamed of turning your innovative idea into a thriving business? Starting a company involves numerous steps and decisions, but don't worry—we're here to help. Whether you're exploring how to start a startup company or wondering how to start up a small business, this guide will walk you through the process, step by step.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This PowerPoint compilation offers a comprehensive overview of 20 leading innovation management frameworks and methodologies, selected for their broad applicability across various industries and organizational contexts. These frameworks are valuable resources for a wide range of users, including business professionals, educators, and consultants.
Each framework is presented with visually engaging diagrams and templates, ensuring the content is both informative and appealing. While this compilation is thorough, please note that the slides are intended as supplementary resources and may not be sufficient for standalone instructional purposes.
This compilation is ideal for anyone looking to enhance their understanding of innovation management and drive meaningful change within their organization. Whether you aim to improve product development processes, enhance customer experiences, or drive digital transformation, these frameworks offer valuable insights and tools to help you achieve your goals.
INCLUDED FRAMEWORKS/MODELS:
1. Stanford’s Design Thinking
2. IDEO’s Human-Centered Design
3. Strategyzer’s Business Model Innovation
4. Lean Startup Methodology
5. Agile Innovation Framework
6. Doblin’s Ten Types of Innovation
7. McKinsey’s Three Horizons of Growth
8. Customer Journey Map
9. Christensen’s Disruptive Innovation Theory
10. Blue Ocean Strategy
11. Strategyn’s Jobs-To-Be-Done (JTBD) Framework with Job Map
12. Design Sprint Framework
13. The Double Diamond
14. Lean Six Sigma DMAIC
15. TRIZ Problem-Solving Framework
16. Edward de Bono’s Six Thinking Hats
17. Stage-Gate Model
18. Toyota’s Six Steps of Kaizen
19. Microsoft’s Digital Transformation Framework
20. Design for Six Sigma (DFSS)
To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
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Brian Fitzsimmons on the Business Strategy and Content Flywheel of Barstool S...Neil Horowitz
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Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
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The Radar reflects input from APCO’s teams located around the world. It distils a host of interconnected events and trends into insights to inform operational and strategic decisions. Issues covered in this edition include:
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4. When you stand in front of the client before you cash the check…. The client doesn’t want to know about model specification, error of measurement and estimation, or MAPE, MAD, or MSE The client needs to trust your numbers
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6. Recap findings on impact of elimination of electricity rate caps in PA…
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10. How can we tell if we forecasted a null impact?