This worksheet gives you a framework to analyse the qualities of a good personal statement, and consider what skills and interests you already have.
Complete the worksheet and refer back to it when writing your personal statement for UCAS.
The document discusses qualitative analysis and the process of interpreting qualitative data to answer a research question. It provides an example of a research question looking at whether IL-6 is increased in people with COPD. It then shares quotes from interviews with COPD patients describing how their symptoms impact their daily lives, such as having reduced mobility, function, and ability to participate in social activities. It outlines the procedure for qualitative analysis, including immersion in the data, coding, choosing codes inductively or based on existing theory, and interpreting themes that emerge from the codes.
The document provides instructions for an icebreaker activity involving age guessing. Students are split into groups and each group is given 10 pictures of individuals. They must guess the age of each person and record their guesses. The actual ages will then be revealed so groups can calculate their error for each guess. The group with the lowest total error will win. Statistical concepts like bias, variance, and averages are introduced through this activity.
This document is an image/video consent form for Fastbleep Ltd. It requests information about the subject, material, and originator. It details that the material may be published on Fastbleep's website and other publications for educational purposes. It also specifies that the subject's consent can be revoked before publication but not after. The subject must sign to consent to their images being published.
A student named Elspeth Hill published a case study in the Student BMJ about a man with a lump in his breast. The document discusses Hill's experience publishing this case study as a student, including receiving feedback from reviewers that pointed out several issues that needed to be addressed before recommending publication. It provides advice for students looking to publish, such as starting with a supportive publication, writing with purpose, and being informed to maximize chances of success.
The document discusses factors to consider when choosing a medical school, focusing on Manchester. It outlines the practicalities of attending Manchester such as transportation, urban location, extracurricular opportunities through various medical clubs and 46 sports clubs. Socially, Manchester offers various art/music venues and "amazing bars." Manchester also provides opportunities for languages, creative writing, and research.
The document provides guidance on publishing research, including why researchers should publish, possible publication venues and types, tips for quality publications, and how to set about the publishing process. It discusses framing research topics, conducting literature reviews, stating study aims and objectives, describing methods, presenting results, and structuring discussions. Formatting and style guidelines are also covered.
This document provides information and guidance about medical conferences, including how to find relevant conferences, write an abstract, prepare for a conference, and funding options. It discusses pros and cons of student conferences, how to target your energy, the abstract writing process in four sections, and shortlisting tips. Information is also given on estimating conference costs, potential sources of funding, and networking strategies.
The document discusses various statistical tests that can be used to analyze different types of data, including:
- The t-test and z-test for comparing means of normally distributed continuous data between two groups.
- The chi-squared test and Fisher's exact test for comparing categorical data between groups.
- The Mann-Whitney U test for comparing non-normally distributed or ordinal data between two independent groups.
- ANOVA for comparing means between three or more groups, followed by post-hoc tests for individual group comparisons.
Examples are provided to demonstrate how to select the appropriate test based on the data type and study design.
The document discusses qualitative analysis and the process of interpreting qualitative data to answer a research question. It provides an example of a research question looking at whether IL-6 is increased in people with COPD. It then shares quotes from interviews with COPD patients describing how their symptoms impact their daily lives, such as having reduced mobility, function, and ability to participate in social activities. It outlines the procedure for qualitative analysis, including immersion in the data, coding, choosing codes inductively or based on existing theory, and interpreting themes that emerge from the codes.
The document provides instructions for an icebreaker activity involving age guessing. Students are split into groups and each group is given 10 pictures of individuals. They must guess the age of each person and record their guesses. The actual ages will then be revealed so groups can calculate their error for each guess. The group with the lowest total error will win. Statistical concepts like bias, variance, and averages are introduced through this activity.
This document is an image/video consent form for Fastbleep Ltd. It requests information about the subject, material, and originator. It details that the material may be published on Fastbleep's website and other publications for educational purposes. It also specifies that the subject's consent can be revoked before publication but not after. The subject must sign to consent to their images being published.
A student named Elspeth Hill published a case study in the Student BMJ about a man with a lump in his breast. The document discusses Hill's experience publishing this case study as a student, including receiving feedback from reviewers that pointed out several issues that needed to be addressed before recommending publication. It provides advice for students looking to publish, such as starting with a supportive publication, writing with purpose, and being informed to maximize chances of success.
The document discusses factors to consider when choosing a medical school, focusing on Manchester. It outlines the practicalities of attending Manchester such as transportation, urban location, extracurricular opportunities through various medical clubs and 46 sports clubs. Socially, Manchester offers various art/music venues and "amazing bars." Manchester also provides opportunities for languages, creative writing, and research.
The document provides guidance on publishing research, including why researchers should publish, possible publication venues and types, tips for quality publications, and how to set about the publishing process. It discusses framing research topics, conducting literature reviews, stating study aims and objectives, describing methods, presenting results, and structuring discussions. Formatting and style guidelines are also covered.
This document provides information and guidance about medical conferences, including how to find relevant conferences, write an abstract, prepare for a conference, and funding options. It discusses pros and cons of student conferences, how to target your energy, the abstract writing process in four sections, and shortlisting tips. Information is also given on estimating conference costs, potential sources of funding, and networking strategies.
The document discusses various statistical tests that can be used to analyze different types of data, including:
- The t-test and z-test for comparing means of normally distributed continuous data between two groups.
- The chi-squared test and Fisher's exact test for comparing categorical data between groups.
- The Mann-Whitney U test for comparing non-normally distributed or ordinal data between two independent groups.
- ANOVA for comparing means between three or more groups, followed by post-hoc tests for individual group comparisons.
Examples are provided to demonstrate how to select the appropriate test based on the data type and study design.
New slideshare for online classes - CanvasJason Edington
This document provides information about how online math classes work at Mendocino College. It explains that classes are organized into chapters and sections that include online lectures, homework assignments, quizzes and discussions. Students can access course materials and complete assignments through the MyMathLab online platform. The document provides guidance on obtaining access to MyMathLab, technical requirements, where to get help and key steps to follow at the start of the course.
The document discusses making and presenting posters at medical conferences. It provides advice on design options, critical appraisal of examples, production process, and timeline. Key points covered include what to include on a poster such as title, authors, background, aims, method, results, and conclusion. Tips are given for setting up the poster, equipment needed, and presenting effectively at the conference.
How To Read A Medical Paper: Part 1, Is This a Good Paper?DrLukeKane
The document provides an overview on how to read and evaluate academic papers. It discusses the typical structure of papers, known as IMRAD (Introduction, Methods, Results, Discussion). It outlines factors to consider in determining if a paper is worth reading such as the study design presented in the methods section. The document describes how to critically appraise papers by considering why the study was done, what type of study design was used, and if the design was appropriate. It also reviews hierarchies of evidence, common terms, the peer review process, and reasons why papers may be rejected.
The document outlines an agenda for a critical appraisal master class that will cover evidence-based medicine principles, critical appraisal of different study types including clinical studies, lab research, and qualitative work. It provides an introduction to the presenters and an outline of topics to be discussed including evidence-based medicine, critical appraisal keys of validity, applicability and impact. Case studies will also be used to demonstrate how to approach appraising a research paper.
How To Read A Medical Paper: Part 2, Assessing the Methodological QualityDrLukeKane
This document outlines five essential questions to ask when assessing the methodological quality of papers: 1) Was the study original? 2) Whom is the study about? 3) Was the design of the study sensible? 4) Was systematic bias avoided or minimized? 5) Was the study large enough and long enough to make the results credible? It discusses factors to consider for each question when evaluating a study's methods section such as sample size, duration of follow up, and completeness of follow up.
This document provides guidance on how to read, analyze, and critique a scientific study. It discusses key concepts like the null hypothesis, statistical significance, and types of data and appropriate statistical tests. It also outlines important steps to follow when reviewing a study, including understanding the study design, evaluating the data collection and analysis, interpreting graphs and statistics, and carefully considering the discussion and conclusions. Finally, it identifies several common pitfalls to watch out for related to statistical analysis and presentation of results.
Statistics for the Health Scientist: Basic Statistics IIIDrLukeKane
This document discusses study design and data collection in medical research. It covers topics like populations, sampling methods, types of studies including observational and experimental designs, confounding variables, matching, randomization, placebos, and definitions of key terms. The goal is to explain how researchers collect representative data and design reliable studies to answer questions about health outcomes and treatments.
Vasectomy and Risk of Aggressive Prostate CancerDrLukeKane
Presentation and critique of July 2014 paper on whether there is a link between vasectomy and prostate cancer.
Presented to urology departmental meeting in London teaching hospital
10 everyday reasons why statistics are importantJason Edington
Statistics is used in many fields to analyze data and make predictions. It helps separate signals from noise. Examples given where statistics is used include stock markets, quality assurance, retail, insurance, political campaigns, genetic engineering, medical studies, weather forecasting, and emergency preparedness. The document emphasizes that an important reason to study statistics is to be better consumers of information and understand when data may be manipulated.
Statistics for the Health Scientist: Basic Statistics IIDrLukeKane
This document provides an overview of descriptive statistics concepts including measures of central tendency (mode, median, mean), measures of spread (range, interquartile range, standard deviation), transformation of data to normal distributions, and definitions of prevalence and incidence. It discusses choosing the appropriate statistical measure based on the type of variable and provides examples to illustrate prevalence, incidence, and how to calculate them from population data.
Statistics for the Health Scientist: Basic Statistics IDrLukeKane
This document provides an introduction to statistics. It defines key statistical concepts like variables, data, and different types of variables. Descriptive statistics are used to summarize raw data through tables and charts. Different types of charts are described that are suitable for categorical or quantitative variables. The goals are to classify variables, choose appropriate charts and tables, and understand how to describe and communicate data.
The document provides an overview of quantitative data analysis and various statistical concepts including the normal distribution, z-tests, confidence intervals, and t-tests. It discusses how the normal distribution was developed by de Moivre and Gauss. It then explains the key properties of the normal distribution and how it can be used to describe many natural phenomena. Examples are provided to illustrate how to calculate and interpret confidence intervals and choose the appropriate statistical test.
The document provides an overview of quantitative data analysis and statistics. It discusses different types of data, ways to visualize data through various plots and charts, key statistical concepts like the mean, median, mode, variance and standard deviation. It also covers important contributors to the field like John Tukey who introduced the box plot, and Karl Pearson who coined the term "standard deviation". Sample questions are included about calculating statistics from data sets.
New slideshare for online classes - CanvasJason Edington
This document provides information about how online math classes work at Mendocino College. It explains that classes are organized into chapters and sections that include online lectures, homework assignments, quizzes and discussions. Students can access course materials and complete assignments through the MyMathLab online platform. The document provides guidance on obtaining access to MyMathLab, technical requirements, where to get help and key steps to follow at the start of the course.
The document discusses making and presenting posters at medical conferences. It provides advice on design options, critical appraisal of examples, production process, and timeline. Key points covered include what to include on a poster such as title, authors, background, aims, method, results, and conclusion. Tips are given for setting up the poster, equipment needed, and presenting effectively at the conference.
How To Read A Medical Paper: Part 1, Is This a Good Paper?DrLukeKane
The document provides an overview on how to read and evaluate academic papers. It discusses the typical structure of papers, known as IMRAD (Introduction, Methods, Results, Discussion). It outlines factors to consider in determining if a paper is worth reading such as the study design presented in the methods section. The document describes how to critically appraise papers by considering why the study was done, what type of study design was used, and if the design was appropriate. It also reviews hierarchies of evidence, common terms, the peer review process, and reasons why papers may be rejected.
The document outlines an agenda for a critical appraisal master class that will cover evidence-based medicine principles, critical appraisal of different study types including clinical studies, lab research, and qualitative work. It provides an introduction to the presenters and an outline of topics to be discussed including evidence-based medicine, critical appraisal keys of validity, applicability and impact. Case studies will also be used to demonstrate how to approach appraising a research paper.
How To Read A Medical Paper: Part 2, Assessing the Methodological QualityDrLukeKane
This document outlines five essential questions to ask when assessing the methodological quality of papers: 1) Was the study original? 2) Whom is the study about? 3) Was the design of the study sensible? 4) Was systematic bias avoided or minimized? 5) Was the study large enough and long enough to make the results credible? It discusses factors to consider for each question when evaluating a study's methods section such as sample size, duration of follow up, and completeness of follow up.
This document provides guidance on how to read, analyze, and critique a scientific study. It discusses key concepts like the null hypothesis, statistical significance, and types of data and appropriate statistical tests. It also outlines important steps to follow when reviewing a study, including understanding the study design, evaluating the data collection and analysis, interpreting graphs and statistics, and carefully considering the discussion and conclusions. Finally, it identifies several common pitfalls to watch out for related to statistical analysis and presentation of results.
Statistics for the Health Scientist: Basic Statistics IIIDrLukeKane
This document discusses study design and data collection in medical research. It covers topics like populations, sampling methods, types of studies including observational and experimental designs, confounding variables, matching, randomization, placebos, and definitions of key terms. The goal is to explain how researchers collect representative data and design reliable studies to answer questions about health outcomes and treatments.
Vasectomy and Risk of Aggressive Prostate CancerDrLukeKane
Presentation and critique of July 2014 paper on whether there is a link between vasectomy and prostate cancer.
Presented to urology departmental meeting in London teaching hospital
10 everyday reasons why statistics are importantJason Edington
Statistics is used in many fields to analyze data and make predictions. It helps separate signals from noise. Examples given where statistics is used include stock markets, quality assurance, retail, insurance, political campaigns, genetic engineering, medical studies, weather forecasting, and emergency preparedness. The document emphasizes that an important reason to study statistics is to be better consumers of information and understand when data may be manipulated.
Statistics for the Health Scientist: Basic Statistics IIDrLukeKane
This document provides an overview of descriptive statistics concepts including measures of central tendency (mode, median, mean), measures of spread (range, interquartile range, standard deviation), transformation of data to normal distributions, and definitions of prevalence and incidence. It discusses choosing the appropriate statistical measure based on the type of variable and provides examples to illustrate prevalence, incidence, and how to calculate them from population data.
Statistics for the Health Scientist: Basic Statistics IDrLukeKane
This document provides an introduction to statistics. It defines key statistical concepts like variables, data, and different types of variables. Descriptive statistics are used to summarize raw data through tables and charts. Different types of charts are described that are suitable for categorical or quantitative variables. The goals are to classify variables, choose appropriate charts and tables, and understand how to describe and communicate data.
The document provides an overview of quantitative data analysis and various statistical concepts including the normal distribution, z-tests, confidence intervals, and t-tests. It discusses how the normal distribution was developed by de Moivre and Gauss. It then explains the key properties of the normal distribution and how it can be used to describe many natural phenomena. Examples are provided to illustrate how to calculate and interpret confidence intervals and choose the appropriate statistical test.
The document provides an overview of quantitative data analysis and statistics. It discusses different types of data, ways to visualize data through various plots and charts, key statistical concepts like the mean, median, mode, variance and standard deviation. It also covers important contributors to the field like John Tukey who introduced the box plot, and Karl Pearson who coined the term "standard deviation". Sample questions are included about calculating statistics from data sets.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
1. Personal Statement Worksheet
What makes a good personal statement?
What are your hobbies/interests? What work experience have you done and
what have you learnt?
What skills are important and how can you demonstrate these?
Action plan – what can you do now? What opportunities are available?