The document discusses key concepts in educational statistics used in development research. It defines educational statistics, describes common statistical methods like descriptive statistics, and explains why educational data is important for measuring progress, evaluating policies, and informing development strategies. The document also discusses factors that can influence educational statistics, such as socioeconomic conditions, access to education, and teacher quality.
Distance Learning, Online Teaching [19+ Years]
• Possess substantial strengths in distance learning, adult education, teaching with technology, student and faculty relations, higher education, and curriculum development.
• Significant experience as an adjunct online faculty member, Core Faculty, Dissertation Chair, Committee Member, Curriculum Developer/Author, and Faculty Development Manager.
• Create a safe, respectful, and welcoming learning environment.
• Specialize in working with new students, first generation students, and academically under-prepared students.
• Developed an exceptional record of academic excellence, end-of-course evaluations, collaboration, communication, mentoring, coaching, and professionalism.
• Computer proficient with online classroom platforms that include WebCT, eCollege, Canvas, Sakai, Moodle, Educator, Desire2Learn, Blackboard, Brightspace and others.
Dissertation Chair and Mentor [Remote, 11+ years]
• Provide high quality instruction, direction and mentorship for assigned students throughout all phases of the dissertation process.
• Provide timely and supportive mentoring throughout the student’s process of developing, researching, writing, and revising the dissertation.
• Participate in the Defense process of a student’s Prospectus and final Dissertation.
• Facilitate the successful completion of all IRB protocols.
Faculty Development [Remote, 10+ years]
• Served as a Trainer and Mentor for New Faculty Members.
• Performed faculty peer reviews and assessed classes based upon best practices and adult learning theories.
• Inspired faculty to improve their facilitation practice by leading online faculty workshops.
Curriculum Development [Remote, 12+ years]
• Authored hundreds of courses as a SME for multiple schools, including undergraduate and graduate courses.
• Strong knowledge and application of adult cognitive learning theories and instructional design methodologies.
• Develop content and assessments that met learning objectives, including discussions and assignments.
Background Includes: Various Online Schools (08/05 – Present)
Online Instructor, Doctoral Committee Member, Dissertation Chair, Faculty Development, Curriculum Development.
A Problem Based Learning Model For IT CoursesJeff Nelson
1) The document describes a study that aimed to determine effective factors that influence IT students' perceptions of problem-based learning (PBL) practices.
2) The study involved three phases: an initial study to identify PBL implementation factors, modeling to construct a PBL model based on identified factors and formulate hypotheses, and validation involving data analysis.
3) The results showed that PBL characteristics and course assessment factors significantly influence PBL practices and indirectly influence students' perceptions of PBL implementation for IT courses.
Research Paradigms.htmlThe term ‘research’ is commonly underst.docxaudeleypearl
Research Paradigms.html
The term ‘research’ is commonly understood to denote a systematic process of discovering more about a topic, using methods that are transparent and publicly defensible. Within this broad definition lie different strands of activity. A key distinction in education and development is between scholarly research and research conducted for consultancy or monitoring and evaluation purposes. Monitoring and evaluation (sometimes referred to as ‘M & E’) is chiefly used in relation to specific projects and usually focuses on the effectiveness of the project in relation to specified (and often narrow) goals. It is unlikely to be asking deeper questions or engaging with the debates in academic literature that scholarly research tends to be concerned with.
Measurement and indicators 1
TEGINT Project
The TEGINT project (Transforming Education for Girls in Nigeria and Tanzania) sought to address gender inequalities in schools and communities through three interventions: the establishment of ‘girls’ clubs’ in schools, of school committees and of participatory, gender-sensitive teaching methodologies. The monitoring and evaluation process, run at regular points during the programme, sought to discover the impact on particular outcomes such as girls’ enrolment and progression. Data collected annually for M & E included gender-disaggregated figures for enrolment by class, exam entry, exam passes, drop-outs, attendance, numbers of teachers and numbers on the school management committees. However, broader research conducted at the start and the end of the project, in conjunction with university partners, attempted to address more complex issues such as the relationships between girls’ club membership, community attitudes and girls’ empowerment (ActionAid 2012).
Epistemological and political positions; decolonizing methodologies; different research traditions
As a researcher, it is always important to consider which assumptions and political positions underpin one’s work. No research (and no researcher) is completely objective and without a position, no matter how unbiased they believe themselves to be. These are particularly important considerations when working on education and development. If the researcher is from a different educational background to that which is being researched, it may lead to some comparative bias, particularly if the context being researched is a developing country. Researchers may become overwhelmed with the deficiencies of the research context and be blind to positive aspects that may have been undervalued or lacking in their own education. It is also important to note that some methodological approaches explicitly and intentionally contain political positions and aims (e.g. feminist research).
A number of theoretical and methodological developments since the 1970s have aimed to reveal and break down hidden assumptions in research. Postcolonial perspectives seek to question the extent to which certain educationa ...
- Educational research aims to systematically investigate educational problems to improve teaching and learning. It uses both qualitative and quantitative scientific methods to define, analyze, and suggest solutions to educational issues.
- Educational research is conducted to improve educational practice, add to knowledge, address gaps in knowledge, and expand and replicate existing knowledge. It seeks to understand student, teacher, and community behaviors and perspectives to improve educational outcomes.
- Educational research faces some limitations, as results can sometimes be contradictory or vague. Observational studies are common but subject to biases, and experimental studies are difficult to implement at a large scale in education. This can lead to conflicting interpretations among scholars.
This document discusses the usefulness of official crime statistics to sociologists. Official crime statistics are collected by the police and provide secondary data for sociologists to analyze. However, they are limited in that not all crimes are reported to the police. Victimization surveys and self-report studies aim to uncover the true amount of crime, but they also have limitations such as recall bias. While official statistics provide easily accessible standardized data, sociologists must approach them critically due to their inherent limitations in only representing reported crimes.
This document discusses the role and importance of statistics in analyzing assessment data. It explains that statistics is used to collect, analyze, organize, and interpret numerical data. It is important for drawing conclusions and inferences from facts. In education, statistics helps with constructing and standardizing tests, understanding individual student differences, comparing evaluation methods, and making predictions about student progress. The document also defines key differences between populations and samples, noting that a population includes all data elements while a sample is a subset, and their means and standard deviations are calculated differently.
This document discusses the role and importance of statistics in analyzing assessment data. It explains that statistics is used to collect, analyze, organize, and interpret numerical data. It is important for drawing conclusions and inferences from facts. In education, statistics helps with constructing and standardizing tests, understanding individual student differences, comparing evaluation methods, and making predictions about student progress. The document also defines key differences between populations and samples, noting that a population includes all data elements while a sample is a subset, and their means and standard deviations are calculated differently.
Educational research is a type of systematic investigation that applies empirical methods to solving challenges in
education. It adopts rigorous and well-defined scientific processes to gather and analyze data for problem-solving
and knowledge advancement.
Why educational research is conducted?
The purpose of educational research is to develop new knowledge about the teaching-learning situation to
improve educational practice. Research in education has enabled significant progress to be made in curriculum
development and reform, educating learners with difficulties, understanding the individual differences and
preferences and in adapting methods of instruction to the needs of individual learners.
According to “Assistant Professor of Project Management, Harrisburg University of Science
and Technology Wisdom is knowledge rightly applied. Conducting research is all about gaining
wisdom. It can be an exciting part of a college student’s educational journey — be it a simple
research paper, thesis, or dissertation”
07 18-13 webinar - sharnell jackson - using data to personalize learningDreamBox Learning
Learning and competency data can be useful tools in assessing a student’s individual learning needs. In this month’s Blended Learning webinar, presenters Sharnell Jackson and Tim Hudson shared best practices for organizing and using student data in order to better meet student needs. They also discussed processes for using and analyzing data at the student, classroom, and district levels.
Statistics is a branch of mathematical study in universities. Statistics courses are not too tricky to master for students in Mathematics education. In contrast, non-mathematics students, such as students of English education, own the paradigm that statistics is a complex subject since they have to apply formulas and substitute those formulas with numbers as a basic knowledge of general statistics course. There are a lot of studies on the statistical thinking skills of a pre-service teacher. However, statistical thinking skills influenced by the adversity quotient factor have not been widely studied. This study aimed to identify and examine the statistical thinking skills of pre-service English teachers based on the dimensions of adversity quotient and statistical thinking ability. This is a quantitative study with a sample of 314 students of English pre-service teachers who took statistics courses for language education and were selected by cluster random sampling technique at a university in Cimahi, West Java, Indonesia. The results showed that based on control, origin, ownership, and endurance positively influenced students’ thinking abilities. However, there is no positive effect between the latent variable of the reach dimension on the students’ statistical thinking ability. The students’ thinking skills tend to be classified at the quantitative level.
This document discusses existing measures of information literacy (IL) as psychometric tests. It reviews IL tests in terms of their context dependency, domain specificity, and representation of the IL construct. The author finds that current tests often focus on specific educational contexts and skills rather than broadly measuring IL. Two main recommendations are made: 1) Developing IL measures for other contexts beyond education to show IL is measurable more widely. 2) Creating a general IL measure that is not context-dependent and tests all aspects of IL to establish it as a construct across populations. This would allow more comprehensive research on IL.
Mary Loftus #ILTAEdTech - Ways of Seeing Learning - 2017 v0.6Mary Loftus
The document discusses learning analytics and ways it can benefit students. It defines learning analytics as using data about learners and contexts to understand and optimize learning. While most work focuses on predicting outcomes, this research prioritizes the student perspective. It aims to use machine learning models and an interactive interface to help students visualize and reflect on their learning process and goals. The methodology involves gathering student activity data, qualitative interviews, and developing models for students to engage with their data and improve metacognition.
Heliyon MBA Statistic Article for student who conduct Statisticacctgamp
The entire review should be 800 - 1000 words, excluding the questions.
1. Can you summarize the article and highlight its main points?
2. What is the context of the article?
3. What major issues did the article present?
4. Do you agree with the conclusion? Why or why not?
5. What are the future directions of this research based on your observations?
6. What is your overall impression of this paper? Does it contribute to the field of Master in Business Administration?
The document outlines the Philippines Department of Education's (DepEd) Basic Education Research Agenda. It establishes priority research areas to guide DepEd and stakeholders in conducting research to inform education policy and programs. The agenda was developed through a consultation process and identifies research questions within key themes. Priority research themes were chosen based on DepEd's vision and mission, and focus on improving student learning outcomes, teacher quality, and other issues. The research agenda will be reviewed annually and guide DepEd researchers over six years on evidence-based studies of the education system.
Research is fundamental in Curriculum and Instruction. It helps us develop, improve, and evaluate educational programs and practices. This process is often called Research and Development (R&D). It involves several steps: analyzing the context, designing new curricula, putting these new ideas into practice, and checking how well they work. This cyclical approach ensures that educational programs make sense in theory and work well in practice, helping students and teachers alike (Wongyai & Patphol, n.d.). When we apply these research methods to the role of an Instructor in the Finance sector, we can create relevant, practical, and tailored educational programs that align with industry standards that FINRA and the SEC require us to follow.
This document outlines a presentation on research in curriculum design. It begins with defining key terms like research, research model, curriculum, and curriculum design. It then discusses the purpose of research in curriculum design and different research methods. The document presents a 5-step research model for curriculum design that includes gathering data, analysis, planning, implementation, and evaluation. It also covers the impacts of research on curriculum design and constraints that can hinder the research process.
Big Data Analysis on Student Learning & Course Evaluation in Waseda Universit...CHES_waseda_univ
This document summarizes a presentation about big data analysis on student learning and course evaluation at Waseda University in Japan. It discusses how accountability in higher education has increased in Japan due to globalization and demographic changes. Waseda University established the Center for Higher Education Studies to strengthen institutional research functions and use data analytics to support decision making. As a case study, the presentation analyzes data from an integrated data warehouse on student time spent studying and course grades. It argues this type of analysis can open a dialogue about benchmarks for student learning and theories of education within higher education.
Big Data and Advanced Analytics For Improving Teaching Practices In 2023 | Fu...Future Education Magazine
Here are 7 ways of big data and advanced analytics to improve teaching practices: 1. Data Sources in Education 2. The Role of Big Data in Education 3. Advanced Analytics in Education 4. Assessing Teaching Practices with Data 5. Enhancing Teaching Practices with Data
Quantitative Literacy: Don't be afraid of data (in the classroom)!ICPSR
This presentation was conducted at the International Conference on College Teaching and Learning, April 11, 2012. It contains several links to interesting data and statistics, not too complex, that can easily be introduced for discussion in the classroom.
This document summarizes a research study that explored how different types of online assessments influence students' learning strategies and achievement of learning goals. The study tested 351 students across two courses. It hypothesized that multiple-choice assessments would stimulate surface learning strategies and lower-level goal achievement, while essay assessments would stimulate deep learning strategies and higher-level goal achievement. Students completed questionnaires measuring their learning strategies after different assessment types. Results indicated that assessment type can influence learning strategies in the short-term and that steering students toward deep learning strategies positively impacts success in achieving learning goals. The findings could help develop an adaptive online assessment system.
Evolution of educational research topics a bibliometric analysis-based compre...Tutors India
Education research is often interdisciplinary and multidisciplinary in nature. According to Google Scholar, 9 fields are closely connected to education among the 51 disciplines classified as social sciences.
For More Detailed Information Check out Work (Source):
https://www.tutorsindia.com/blog/educational-research-topics-a-bibliometric-analysis/
The document outlines 7 key characteristics of statistics:
1. Statistics are aggregates of facts that can be studied in relation to each other.
2. Statistics are affected by multiple causes rather than single causes due to their focus on social sciences.
3. Statistics are numerically expressed to allow for quantification and comparison.
4. Statistics are enumerated or estimated according to reasonable accuracy standards that may vary depending on the inquiry.
5. Statistics are collected systematically to ensure accurate conclusions can be drawn from the data.
An introduction to Research Approaches in Higher Education for new or existing university teachers or academics interested in using research to inform their teaching.
This document discusses different types of educational research classified by purpose and method. It describes four main types: historical research, descriptive research, quasi-experimental research, and qualitative research. Historical research uses historical sources and techniques to understand present problems in light of past experiences. Descriptive research describes present conditions through surveys to identify issues and trends. Quasi-experimental research tests educational aims and policies under controlled conditions. Qualitative research focuses on understanding human behaviors and experiences through methods like interviews.
Lecture 1 Introduction history and institutes of entomology_1.pptxArshad Shaikh
*Entomology* is the scientific study of insects, including their behavior, ecology, evolution, classification, and management.
Entomology continues to evolve, incorporating new technologies and approaches to understand and manage insect populations.
Educational research is a type of systematic investigation that applies empirical methods to solving challenges in
education. It adopts rigorous and well-defined scientific processes to gather and analyze data for problem-solving
and knowledge advancement.
Why educational research is conducted?
The purpose of educational research is to develop new knowledge about the teaching-learning situation to
improve educational practice. Research in education has enabled significant progress to be made in curriculum
development and reform, educating learners with difficulties, understanding the individual differences and
preferences and in adapting methods of instruction to the needs of individual learners.
According to “Assistant Professor of Project Management, Harrisburg University of Science
and Technology Wisdom is knowledge rightly applied. Conducting research is all about gaining
wisdom. It can be an exciting part of a college student’s educational journey — be it a simple
research paper, thesis, or dissertation”
07 18-13 webinar - sharnell jackson - using data to personalize learningDreamBox Learning
Learning and competency data can be useful tools in assessing a student’s individual learning needs. In this month’s Blended Learning webinar, presenters Sharnell Jackson and Tim Hudson shared best practices for organizing and using student data in order to better meet student needs. They also discussed processes for using and analyzing data at the student, classroom, and district levels.
Statistics is a branch of mathematical study in universities. Statistics courses are not too tricky to master for students in Mathematics education. In contrast, non-mathematics students, such as students of English education, own the paradigm that statistics is a complex subject since they have to apply formulas and substitute those formulas with numbers as a basic knowledge of general statistics course. There are a lot of studies on the statistical thinking skills of a pre-service teacher. However, statistical thinking skills influenced by the adversity quotient factor have not been widely studied. This study aimed to identify and examine the statistical thinking skills of pre-service English teachers based on the dimensions of adversity quotient and statistical thinking ability. This is a quantitative study with a sample of 314 students of English pre-service teachers who took statistics courses for language education and were selected by cluster random sampling technique at a university in Cimahi, West Java, Indonesia. The results showed that based on control, origin, ownership, and endurance positively influenced students’ thinking abilities. However, there is no positive effect between the latent variable of the reach dimension on the students’ statistical thinking ability. The students’ thinking skills tend to be classified at the quantitative level.
This document discusses existing measures of information literacy (IL) as psychometric tests. It reviews IL tests in terms of their context dependency, domain specificity, and representation of the IL construct. The author finds that current tests often focus on specific educational contexts and skills rather than broadly measuring IL. Two main recommendations are made: 1) Developing IL measures for other contexts beyond education to show IL is measurable more widely. 2) Creating a general IL measure that is not context-dependent and tests all aspects of IL to establish it as a construct across populations. This would allow more comprehensive research on IL.
Mary Loftus #ILTAEdTech - Ways of Seeing Learning - 2017 v0.6Mary Loftus
The document discusses learning analytics and ways it can benefit students. It defines learning analytics as using data about learners and contexts to understand and optimize learning. While most work focuses on predicting outcomes, this research prioritizes the student perspective. It aims to use machine learning models and an interactive interface to help students visualize and reflect on their learning process and goals. The methodology involves gathering student activity data, qualitative interviews, and developing models for students to engage with their data and improve metacognition.
Heliyon MBA Statistic Article for student who conduct Statisticacctgamp
The entire review should be 800 - 1000 words, excluding the questions.
1. Can you summarize the article and highlight its main points?
2. What is the context of the article?
3. What major issues did the article present?
4. Do you agree with the conclusion? Why or why not?
5. What are the future directions of this research based on your observations?
6. What is your overall impression of this paper? Does it contribute to the field of Master in Business Administration?
The document outlines the Philippines Department of Education's (DepEd) Basic Education Research Agenda. It establishes priority research areas to guide DepEd and stakeholders in conducting research to inform education policy and programs. The agenda was developed through a consultation process and identifies research questions within key themes. Priority research themes were chosen based on DepEd's vision and mission, and focus on improving student learning outcomes, teacher quality, and other issues. The research agenda will be reviewed annually and guide DepEd researchers over six years on evidence-based studies of the education system.
Research is fundamental in Curriculum and Instruction. It helps us develop, improve, and evaluate educational programs and practices. This process is often called Research and Development (R&D). It involves several steps: analyzing the context, designing new curricula, putting these new ideas into practice, and checking how well they work. This cyclical approach ensures that educational programs make sense in theory and work well in practice, helping students and teachers alike (Wongyai & Patphol, n.d.). When we apply these research methods to the role of an Instructor in the Finance sector, we can create relevant, practical, and tailored educational programs that align with industry standards that FINRA and the SEC require us to follow.
This document outlines a presentation on research in curriculum design. It begins with defining key terms like research, research model, curriculum, and curriculum design. It then discusses the purpose of research in curriculum design and different research methods. The document presents a 5-step research model for curriculum design that includes gathering data, analysis, planning, implementation, and evaluation. It also covers the impacts of research on curriculum design and constraints that can hinder the research process.
Big Data Analysis on Student Learning & Course Evaluation in Waseda Universit...CHES_waseda_univ
This document summarizes a presentation about big data analysis on student learning and course evaluation at Waseda University in Japan. It discusses how accountability in higher education has increased in Japan due to globalization and demographic changes. Waseda University established the Center for Higher Education Studies to strengthen institutional research functions and use data analytics to support decision making. As a case study, the presentation analyzes data from an integrated data warehouse on student time spent studying and course grades. It argues this type of analysis can open a dialogue about benchmarks for student learning and theories of education within higher education.
Big Data and Advanced Analytics For Improving Teaching Practices In 2023 | Fu...Future Education Magazine
Here are 7 ways of big data and advanced analytics to improve teaching practices: 1. Data Sources in Education 2. The Role of Big Data in Education 3. Advanced Analytics in Education 4. Assessing Teaching Practices with Data 5. Enhancing Teaching Practices with Data
Quantitative Literacy: Don't be afraid of data (in the classroom)!ICPSR
This presentation was conducted at the International Conference on College Teaching and Learning, April 11, 2012. It contains several links to interesting data and statistics, not too complex, that can easily be introduced for discussion in the classroom.
This document summarizes a research study that explored how different types of online assessments influence students' learning strategies and achievement of learning goals. The study tested 351 students across two courses. It hypothesized that multiple-choice assessments would stimulate surface learning strategies and lower-level goal achievement, while essay assessments would stimulate deep learning strategies and higher-level goal achievement. Students completed questionnaires measuring their learning strategies after different assessment types. Results indicated that assessment type can influence learning strategies in the short-term and that steering students toward deep learning strategies positively impacts success in achieving learning goals. The findings could help develop an adaptive online assessment system.
Evolution of educational research topics a bibliometric analysis-based compre...Tutors India
Education research is often interdisciplinary and multidisciplinary in nature. According to Google Scholar, 9 fields are closely connected to education among the 51 disciplines classified as social sciences.
For More Detailed Information Check out Work (Source):
https://www.tutorsindia.com/blog/educational-research-topics-a-bibliometric-analysis/
The document outlines 7 key characteristics of statistics:
1. Statistics are aggregates of facts that can be studied in relation to each other.
2. Statistics are affected by multiple causes rather than single causes due to their focus on social sciences.
3. Statistics are numerically expressed to allow for quantification and comparison.
4. Statistics are enumerated or estimated according to reasonable accuracy standards that may vary depending on the inquiry.
5. Statistics are collected systematically to ensure accurate conclusions can be drawn from the data.
An introduction to Research Approaches in Higher Education for new or existing university teachers or academics interested in using research to inform their teaching.
This document discusses different types of educational research classified by purpose and method. It describes four main types: historical research, descriptive research, quasi-experimental research, and qualitative research. Historical research uses historical sources and techniques to understand present problems in light of past experiences. Descriptive research describes present conditions through surveys to identify issues and trends. Quasi-experimental research tests educational aims and policies under controlled conditions. Qualitative research focuses on understanding human behaviors and experiences through methods like interviews.
Lecture 1 Introduction history and institutes of entomology_1.pptxArshad Shaikh
*Entomology* is the scientific study of insects, including their behavior, ecology, evolution, classification, and management.
Entomology continues to evolve, incorporating new technologies and approaches to understand and manage insect populations.
How to Configure Scheduled Actions in odoo 18Celine George
Scheduled actions in Odoo 18 automate tasks by running specific operations at set intervals. These background processes help streamline workflows, such as updating data, sending reminders, or performing routine tasks, ensuring smooth and efficient system operations.
Learn about the APGAR SCORE , a simple yet effective method to evaluate a newborn's physical condition immediately after birth ....this presentation covers .....
what is apgar score ?
Components of apgar score.
Scoring system
Indications of apgar score........
Link your Lead Opportunities into Spreadsheet using odoo CRMCeline George
In Odoo 17 CRM, linking leads and opportunities to a spreadsheet can be done by exporting data or using Odoo’s built-in spreadsheet integration. To export, navigate to the CRM app, filter and select the relevant records, and then export the data in formats like CSV or XLSX, which can be opened in external spreadsheet tools such as Excel or Google Sheets.
How to Create A Todo List In Todo of Odoo 18Celine George
In this slide, we’ll discuss on how to create a Todo List In Todo of Odoo 18. Odoo 18’s Todo module provides a simple yet powerful way to create and manage your to-do lists, ensuring that no task is overlooked.
Computer crime and Legal issues Computer crime and Legal issuesAbhijit Bodhe
• Computer crime and Legal issues: Intellectual property.
• privacy issues.
• Criminal Justice system for forensic.
• audit/investigative.
• situations and digital crime procedure/standards for extraction,
preservation, and deposition of legal evidence in a court of law.
Redesigning Education as a Cognitive Ecosystem: Practical Insights into Emerg...Leonel Morgado
Slides used at the Invited Talk at the Harvard - Education University of Hong Kong - Stanford Joint Symposium, "Emerging Technologies and Future Talents", 2025-05-10, Hong Kong, China.
A measles outbreak originating in West Texas has been linked to confirmed cases in New Mexico, with additional cases reported in Oklahoma and Kansas. The current case count is 817 from Texas, New Mexico, Oklahoma, and Kansas. 97 individuals have required hospitalization, and 3 deaths, 2 children in Texas and one adult in New Mexico. These fatalities mark the first measles-related deaths in the United States since 2015 and the first pediatric measles death since 2003.
The YSPH Virtual Medical Operations Center Briefs (VMOC) were created as a service-learning project by faculty and graduate students at the Yale School of Public Health in response to the 2010 Haiti Earthquake. Each year, the VMOC Briefs are produced by students enrolled in Environmental Health Science Course 581 - Public Health Emergencies: Disaster Planning and Response. These briefs compile diverse information sources – including status reports, maps, news articles, and web content– into a single, easily digestible document that can be widely shared and used interactively. Key features of this report include:
- Comprehensive Overview: Provides situation updates, maps, relevant news, and web resources.
- Accessibility: Designed for easy reading, wide distribution, and interactive use.
- Collaboration: The “unlocked" format enables other responders to share, copy, and adapt seamlessly. The students learn by doing, quickly discovering how and where to find critical information and presenting it in an easily understood manner.
CURRENT CASE COUNT: 817 (As of 05/3/2025)
• Texas: 688 (+20)(62% of these cases are in Gaines County).
• New Mexico: 67 (+1 )(92.4% of the cases are from Eddy County)
• Oklahoma: 16 (+1)
• Kansas: 46 (32% of the cases are from Gray County)
HOSPITALIZATIONS: 97 (+2)
• Texas: 89 (+2) - This is 13.02% of all TX cases.
• New Mexico: 7 - This is 10.6% of all NM cases.
• Kansas: 1 - This is 2.7% of all KS cases.
DEATHS: 3
• Texas: 2 – This is 0.31% of all cases
• New Mexico: 1 – This is 1.54% of all cases
US NATIONAL CASE COUNT: 967 (Confirmed and suspected):
INTERNATIONAL SPREAD (As of 4/2/2025)
• Mexico – 865 (+58)
‒Chihuahua, Mexico: 844 (+58) cases, 3 hospitalizations, 1 fatality
• Canada: 1531 (+270) (This reflects Ontario's Outbreak, which began 11/24)
‒Ontario, Canada – 1243 (+223) cases, 84 hospitalizations.
• Europe: 6,814
Ancient Stone Sculptures of India: As a Source of Indian HistoryVirag Sontakke
This Presentation is prepared for Graduate Students. A presentation that provides basic information about the topic. Students should seek further information from the recommended books and articles. This presentation is only for students and purely for academic purposes. I took/copied the pictures/maps included in the presentation are from the internet. The presenter is thankful to them and herewith courtesy is given to all. This presentation is only for academic purposes.
How to Configure Public Holidays & Mandatory Days in Odoo 18Celine George
In this slide, we’ll explore the steps to set up and manage Public Holidays and Mandatory Days in Odoo 18 effectively. Managing Public Holidays and Mandatory Days is essential for maintaining an organized and compliant work schedule in any organization.
The insect cuticle is a tough, external exoskeleton composed of chitin and proteins, providing protection and support. However, as insects grow, they need to shed this cuticle periodically through a process called moulting. During moulting, a new cuticle is prepared underneath, and the old one is shed, allowing the insect to grow, repair damaged cuticle, and change form. This process is crucial for insect development and growth, enabling them to transition from one stage to another, such as from larva to pupa or adult.
pulse ppt.pptx Types of pulse , characteristics of pulse , Alteration of pulsesushreesangita003
what is pulse ?
Purpose
physiology and Regulation of pulse
Characteristics of pulse
factors affecting pulse
Sites of pulse
Alteration of pulse
for BSC Nursing 1st semester
for Gnm Nursing 1st year
Students .
vitalsign
Form View Attributes in Odoo 18 - Odoo SlidesCeline George
Odoo is a versatile and powerful open-source business management software, allows users to customize their interfaces for an enhanced user experience. A key element of this customization is the utilization of Form View attributes.
What is the Philosophy of Statistics? (and how I was drawn to it)jemille6
What is the Philosophy of Statistics? (and how I was drawn to it)
Deborah G Mayo
At Dept of Philosophy, Virginia Tech
April 30, 2025
ABSTRACT: I give an introductory discussion of two key philosophical controversies in statistics in relation to today’s "replication crisis" in science: the role of probability, and the nature of evidence, in error-prone inference. I begin with a simple principle: We don’t have evidence for a claim C if little, if anything, has been done that would have found C false (or specifically flawed), even if it is. Along the way, I’ll sprinkle in some autobiographical reflections.
How to Add Customer Note in Odoo 18 POS - Odoo SlidesCeline George
In this slide, we’ll discuss on how to add customer note in Odoo 18 POS module. Customer Notes in Odoo 18 POS allow you to add specific instructions or information related to individual order lines or the entire order.
How to Add Customer Note in Odoo 18 POS - Odoo SlidesCeline George
Ad
The Statistics in Education Research.pptx
1. MUSLIM YOUTH UNIVERSITY
EDU-703 – Statistics in Education
Presentation
Submitted to;
Ziarab Mehmood
Submitted by;
Rabeea Zeeshan
M Phil Education
Semester: 1st
Date: 26 April, 2024
2. Definitions
"Statistics may be defined as the collection, presentation, analysis and interpretation of
numerical data."
“Statistics comprises the collection, tabulation, presentation and analysis of an aggregate of the
facts, collected in methodical manner, without bias and related to predetermined purpose.”
Sutcliffe
According to Prof. A.L. Bowley: “Statistics may be called the science of counting.”
According to Boddington: “Statistics is the science of estimates and probabilities.”
According to Lovitt: “Statistics is the science which deals with the collection, classification
and tabulation of numerical facts as the basis for explanation, description and comparison of
phenomena.”
3. Need, Importance and Uses of Statistics:
1. Group Comparison: A class's achievements are not uniform across subjects. It has
been discovered that one class is progressing quicker in one subject while another is
progressing in another. Even different portions of the same class do not progress in the
same manner.
2. Individual Comparison: Statistics aids in the individual comparison of students of
varying ages, talents, and IQ levels. Statistics explain why students who are similar in
every other way do not attain the same level of success in one topic.
3. Educational and Vocational Guidance: Every student differs from others in terms
of intellectual capacity, interests, attitude, and mental abilities. Students are offered
educational and vocational counseling in order to make the most use of their qualities,
and the process of guidance is based only on statistics.
4. Educational Experiments and Research: The goals, curricula, and methods of
teaching change as the location, line, and conditions change. Without the use of
statistics, research and experimentation cannot become accurate and valid.
5. Essential for Professional Efficiency: The responsibility of the teacher does not
cease when he teaches a certain subject in the classroom. His responsibilities include
instructing the students, acquiring the appropriate level of knowledge for himself, and
analyzing the achievement of behavior modification.
4. Characteristics of Statistics
The important characteristics of Statistics are as follows:
• Statistics are numerically expressed.
• It has an aggregate of facts
• Data are collected in systematic order
• It should be comparable to each other
• Data are collected for a planned purpose
Purposes: One can identify four purposes for which educational statistics are important:
(a) for making sound policies and effective plans,
(b) for efficient administration and management,
(c) for research,
(d) for information, and dissemination of information.
For the purposes of proper policymaking, planning, and management and for research, very
reliable and elaborate statistical base is critical. The various purposes for which education
statistics are required by the planners, policymakers and researchers can be grouped into two
broad categories, as shown in Figure 1.
6. The Importance of Statistics in Education (With Examples)
The field of statistics is concerned with collecting, analyzing, interpreting, and
presenting data. In an education setting, statistics is important for the following
reasons:
Reason 1: Statistics allows educators to understand student performance using
descriptive statistics.
Reason 2: Statistics allows educators to spot trends in student performance using data
visualizations.
Reason 3: Statistics allows educators to compare different teaching methods using
hypothesis tests.