NOMOGRAM FOR THE QUICK GRAPHIC ESTIMATION OF FATNESS

Size: px
Start display at page:

Download "NOMOGRAM FOR THE QUICK GRAPHIC ESTIMATION OF FATNESS"

Transcription

1 NOMOGRAM FOR THE QUICK GRAPHIC ESTIMATION OF FATNESS LIVIU DRAGOMIRESCU Abstract The paper presents a nomogram built for the quick determination of a subject s class of fatness. There are used here only the height and the weight of the subject. The classes of fatness are the ones defined by the World Health Organisation (WHO) using Body Mass Index (BMI). This nomogram can be also used for the quick estimation of the weight limits for normality or any other class of fatness. The information, friendly graphically-presented in only one page is equivalent to the one from the numeric table of almost 3 pages in the annex A of the work (1). The nomogram has been made with a computer program specially conceived by the author. A colour version can be found on the INTERNET at the addresses: Introduction Working at the volume (2), it became important to present the data necessary for fatness diagnosis in a both concise and suggestive manner. The WHO methodology in this matter recommends the use of BMI (Body Mass Index) and six levels for its values (1). These levels establish seven classes of fatness. The same methodology provides a table containing for each height, measured in an integer number of centimetres from 140 to 190 six levels of weight. In the case of normality, two more levels are indicated. Therefore, the table contains, besides the column for height, eight columns with value levels for weight. In all, that means 408 (=51 8) numbers and it takes almost three pages, grouped in the table A Consulting the table is relatively simple: Step 1. Fix the line were the subject s height is located. Step 2. On the fixed line, search the two weight values between the subject s weight is included. If the subject s weight is outside these values, the subject belongs to the respective extreme class. The general class of fatness for this weight can be read in the table heading. Then, consulting the end of the table, we can obtain the detail subclass. 1

2 Step2. In order to find the normality limits, read, on the same line, the values which, on columns, correspond to normality. For other classes, the procedure is analogous. The first two steps establish the class of fatness for a subject and the steps 1 and 2 determine the normality limits or, if needed, the limits for any other class of fatness for the subject. Although the utilisation of this table is not difficult, we believe that a graphic presentation of the same information is equally easy to use, but more attractive for most people. Material and method The material consists in the standard weight values according to the height, for the eight levels mentioned above. These values result from the levels established statistically for BMI and from the formula of this index. The BMI levels and the WHO classes for them are (1): Table 1. Levels for BMI and classes from (1). Body Mass Index underweight normality overweight , Table 2. Levels for BMI and subclasses from (1). BMI < 16 indicates very severe underweight 16 BMI < 17 indicates severe underweight 17 BMI < 18,5 indicates medium underweight 18,5 BMI < 25 corresponds to normality 25 BMI < 30 indicates medium overweight 30 BMI < 40 indicates severe overweight BMI > 40 indicates very severe overweight. We consider that the levels 20 and 22 determine the following subclasses of normality: 18,5 BMI < 20 normality tending towards underweight 20 BMI < 22 proper normality 22 BMI < 25 normality tending towards overweight. The formula for BMI is wt / ht 2. Wt is the measured weight in kilograms and ht is the measured height in metres. The method consists in the graphic synthesis in a nomogram of the table described in the introduction. For this, we plotted the height on the horizontal axis, the weight on the vertical axis, and within the graph we drew eight curves. Each curve represents pairs of values (height, weight) with the same BMI. For instance, the curve with the lowest location in Fig. 1 represents BMI = 16, the next, BMI = 17 and so on. The 9 zones delimited in plane by the 8 curves indicates the 9 classes of fatness. 2

3 Figure 1. Nomogram for the quick graphic estimation of fatness. Author: L. Dragomirescu. 3

4 Results The nomogram can be also used in the two problems for which the table A3. 10 from (1) was built: the determination of a subject s class of fatness and the indication of normality limits or of any other class, for that subject. In both matters, we begin with: Step 1. The identification of the vertical line showing the subject s height (in the example from Fig. 1, 168 cm). Then, in order to establish the class of fatness for a subject: Step 2. We determine the horizontal line corresponding to the value of the subject s weight (in example from Fig. 1, 75 Kg). We read the name of the zone where the two lines crossed - see the small square in the Fig. 1. To specify the normality limits, it follows: Step 2. The determination of the crossing points between the vertical line drawn at step 1 and the curves which bound the normality. Horizontal lines are drawn through these points, and the two values are read on the weight axis (indicated by arrows in Fig. 1: 52 Kg, respectively 71 Kg). We observe that in the table A from (1) there are given the values 52,2 Kg and 70,6 Kg. That means the graphic representation contains the information with an approximation of ± 0,5 Kg. Conclusions Generally, the weight of an adult subject is measured with a error higher than ± 0,5 Kg. Even if the subject is measured in standard conditions in the morning, on an empty stomach, nude or wearing bathing-costume - the presence or absence of bathing suit or the amount of water retained by the tissues according to the metabolism and the recent diet of the subject, as well as the error of the scales or of the operator lead to a error of the measurement higher than ± 0,5 Kg. Therefore, the approximation given by the nomogram is completely satisfying. The nomogram is much more suggestive, friendlier than the numeric table, the same as a classical clock with indicating hands is much easier to read than a modern one with digital display. This nomogram replaces in one page, three pages of digits. At the same time, it is also recommended instead of the nomogram proposed at the end of the work (1), which indicates graphically the BMI value. Then, the user has to consult the scale from the final of the annex A3. 10 in the same work that is the Table 2 above which is very complicated. Moreover, on that nomogram the normality limits (or the limits of any other class) can be read with much more difficulty, less intuitively and less precisely. In the end, we would like to inform you that a colour version of the nomogram hereproposed is available on the INTERNET at the sites: 4

5 References 1. OMS Utilisation et interprétation de l anthropométrie. Rapport d un comité OMS d experts. Série de Rapports techniques, Genève, Radu Elena, Glavce Cristina, Dragomirescu L. Ghid practic de antropologie. Vol. I. Iniţiere în antropometrie. In print. University of Bucharest, Faculty of Biology. 5

Body Mass Index And Breast Size In Women Same Or

Body Mass Index And Breast Size In Women Same Or We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with body mass index and

More information

(a) Explain how the sinoatrial node (SAN) ensures that oxygenated blood enters the aorta. (4)

(a) Explain how the sinoatrial node (SAN) ensures that oxygenated blood enters the aorta. (4) 1 A human heart can work effectively for over a hundred years but many people throughout the world have heart problems. (a) Explain how the sinoatrial node (SAN) ensures that oxygenated blood enters the

More information

*(a) Describe the blood clotting process. (4)

*(a) Describe the blood clotting process. (4) 1 There are many venomous (poisonous) snakes in the world. Many of the venoms from these snakes affect the blood clotting process. *(a) Describe the blood clotting process. (4) (b) Factor Xa is a clotting

More information

I will investigate the difference between male athlete and female athlete BMI, for athletes who belong to the Australian Institute of Sport.

I will investigate the difference between male athlete and female athlete BMI, for athletes who belong to the Australian Institute of Sport. AS 91582 - Statistical Inference: Merit example (Body Mass Index). INTRODUCTION Body Mass Index is an estimator how the amount of body fat a person has (LiveScience, 2014). It is calculated by taking a

More information

5.0 Care for measurement equipment

5.0 Care for measurement equipment 5.0 Care for measurement equipment Proper care for the scale and length/height boards is important to ensure that measurements are as accurate as possible. Keep the equipment clean and store it at normal

More information

Body Mass Index. The table below can be used to assess an adult s status BMI Status.

Body Mass Index. The table below can be used to assess an adult s status BMI Status. Body Mass Index (BMI) is used as a screening tool to identify possible weight problems, however, BMI is not a diagnostic tool. To determine if excess weight is a health risk further assessments are needed

More information

Assessing Child Growth Using Body Mass Index (BMI)- for- Age Growth Charts

Assessing Child Growth Using Body Mass Index (BMI)- for- Age Growth Charts Assessing Child Growth Using Body Mass Index (BMI)- for- Age Growth Charts Adapted by the State of California CHDP Nutri8on Subcommi;ee from materials developed by California Department of Health Care

More information

Unit 7 Comparisons and Relationships

Unit 7 Comparisons and Relationships Unit 7 Comparisons and Relationships Objectives: To understand the distinction between making a comparison and describing a relationship To select appropriate graphical displays for making comparisons

More information

Broadening Course YPHY0001 Practical Session II (October 11, 2006) Assessment of Body Fat

Broadening Course YPHY0001 Practical Session II (October 11, 2006) Assessment of Body Fat Sheng HP - 1 Broadening Course YPHY0001 Practical Session II (October 11, 2006) Assessment of Body Fat REQUIRED FOR THIS PRACTICAL SESSION: 1. Please wear short-sleeve shirts / blouses for skin-fold measurements.

More information

Lesson 9 Presentation and Display of Quantitative Data

Lesson 9 Presentation and Display of Quantitative Data Lesson 9 Presentation and Display of Quantitative Data Learning Objectives All students will identify and present data using appropriate graphs, charts and tables. All students should be able to justify

More information

Table of Contents. Introduction. 1. Diverse Weighing scale models. 2. What to look for while buying a weighing scale. 3. Digital scale buying tips

Table of Contents. Introduction. 1. Diverse Weighing scale models. 2. What to look for while buying a weighing scale. 3. Digital scale buying tips Table of Contents Introduction 1. Diverse Weighing scale models 2. What to look for while buying a weighing scale 3. Digital scale buying tips 4. Body fat scales 5. Is BMI the right way to monitor your

More information

by Marilyn Williams Nutrition & Weight Management Consultant

by Marilyn Williams Nutrition & Weight Management Consultant by Marilyn Williams Nutrition & Weight Management Consultant Copyright 2018 Marilyn Williams All Rights Reserved This work is Copyright and not to be copied or shared in any fashion. Disclaimer: The information,

More information

Chapter 20: Test Administration and Interpretation

Chapter 20: Test Administration and Interpretation Chapter 20: Test Administration and Interpretation Thought Questions Why should a needs analysis consider both the individual and the demands of the sport? Should test scores be shared with a team, or

More information

LAB 2: DATA ANALYSIS: STATISTICS, and GRAPHING

LAB 2: DATA ANALYSIS: STATISTICS, and GRAPHING LAB 2: DATA ANALYSIS: STATISTICS, and GRAPHING Lists of raw data alone are not often useful for recognizing relationships between variables related to human health. Simple descriptive statistics, including

More information

Unit 1: Fitness for Sport and Exercise. Fitness Testing

Unit 1: Fitness for Sport and Exercise. Fitness Testing Unit 1: Fitness for Sport and Exercise Fitness Testing Importance of fitness testing Gives baseline data for monitoring/improving performance Can design training programmes based on test results and determine

More information

IAPT: Regression. Regression analyses

IAPT: Regression. Regression analyses Regression analyses IAPT: Regression Regression is the rather strange name given to a set of methods for predicting one variable from another. The data shown in Table 1 and come from a student project

More information

Content & Script of the Programme. Introduction:

Content & Script of the Programme. Introduction: Content & Script of the Programme Introduction: Body indices are calculated to find out the proportion of a particular body part in relation to the other. These indices have their importance in categorizing

More information

UNIT 1CP LAB 1 - Spaghetti Bridge

UNIT 1CP LAB 1 - Spaghetti Bridge Name Date Pd UNIT 1CP LAB 1 - Spaghetti Bridge The basis of this physics class is the ability to design an experiment to determine the relationship between two quantities and to interpret and apply the

More information

EBCC Data Analysis Tool (EBCC DAT) Introduction

EBCC Data Analysis Tool (EBCC DAT) Introduction Instructor: Paul Wolfgang Faculty sponsor: Yuan Shi, Ph.D. Andrey Mavrichev CIS 4339 Project in Computer Science May 7, 2009 Research work was completed in collaboration with Michael Tobia, Kevin L. Brown,

More information

Introduction to Statistical Data Analysis I

Introduction to Statistical Data Analysis I Introduction to Statistical Data Analysis I JULY 2011 Afsaneh Yazdani Preface What is Statistics? Preface What is Statistics? Science of: designing studies or experiments, collecting data Summarizing/modeling/analyzing

More information

Adult overweight and obesity

Adult overweight and obesity Facts on Adult overweight and obesity March 2017 in Durham Region Highlights In 2013/2014, 57 per cent of Durham Region adults 18 and older were overweight or obese. Rates for both Durham Region and Ontario

More information

Psy201 Module 3 Study and Assignment Guide. Using Excel to Calculate Descriptive and Inferential Statistics

Psy201 Module 3 Study and Assignment Guide. Using Excel to Calculate Descriptive and Inferential Statistics Psy201 Module 3 Study and Assignment Guide Using Excel to Calculate Descriptive and Inferential Statistics What is Excel? Excel is a spreadsheet program that allows one to enter numerical values or data

More information

Section 3.2 Least-Squares Regression

Section 3.2 Least-Squares Regression Section 3.2 Least-Squares Regression Linear relationships between two quantitative variables are pretty common and easy to understand. Correlation measures the direction and strength of these relationships.

More information

Test design automation: equivalence classes, boundaries, edges and corner cases

Test design automation: equivalence classes, boundaries, edges and corner cases Abstract design automation: equivalence classes, boundaries, edges and corner cases George B. Sherwood cover.com, LLC Colts Neck, NJ USA An embedded functions feature is under development for the cover.com

More information

HANDLING EXCEPTIONS: PROGRAMMING EXERCISES

HANDLING EXCEPTIONS: PROGRAMMING EXERCISES HANDLING EXCEPTIONS: PROGRAMMING EXERCISES 1. Create a program that prompts users for the weight and then determines which weight class they would be in if they were in the UFC (Ultimate Fighting Championship)

More information

Interpretation Guide. What you are made of? Find out with - Vital Body Scan NZ Ltd. Mobile Body Composition Analysis

Interpretation Guide. What you are made of? Find out with - Vital Body Scan NZ Ltd. Mobile Body Composition Analysis Interpretation Guide Vital Body Scan NZ Ltd What you are made of? Find out with - Vital Body Scan NZ Ltd Mobile Body Composition Analysis Interpreting your results Total Body Water (TBW) TBW is all the

More information

NAP Mate is a registered trademark of Mighty Minds Educational Systems Pty Ltd. Cairns State High School

NAP Mate is a registered trademark of Mighty Minds Educational Systems Pty Ltd. Cairns State High School NP Mate is a registered trademark of Mighty Minds Educational Systems Pty Ltd. airns State High School 1 Please note: any activity that is not completed during class time may be set for homework or undertaken

More information

Warfarin Help Documentation

Warfarin Help Documentation Warfarin Help Documentation Table Of Contents Warfarin Management... 1 iii Warfarin Management Warfarin Management The Warfarin Management module is a powerful tool for monitoring INR results and advising

More information

Broadening Course YPHY0001 Practical Session III (March 19, 2008) Assessment of Body Fat

Broadening Course YPHY0001 Practical Session III (March 19, 2008) Assessment of Body Fat Sheng HP - 1 Broadening Course YPHY0001 Practical Session III (March 19, 2008) Assessment of Body Fat REQUIRED FOR THIS PRACTICAL SESSION: 1. Please wear short-sleeve shirts / blouses. Shirts / blouses

More information

Calories per oz. Price per oz Corn Wheat

Calories per oz. Price per oz Corn Wheat Donald Wittman Lecture 1 Diet Problem Consider the following problem: Corn costs.6 cents an ounce and wheat costs 1 cent an ounce. Each ounce of corn has 10 units of vitamin A, 5 calories and 2 units of

More information

1 (vi) maths Multiple Choice Questions (MCQs) CLASS: VI SUBJECT: MATHS. Chapter - 1

1 (vi) maths Multiple Choice Questions (MCQs) CLASS: VI SUBJECT: MATHS. Chapter - 1 1 (vi) maths Multiple Choice Questions (MCQs) CLASS: VI SUBJECT: MATHS Chapter - 1 The smallest two digit number is (a) 10 (b) 90 (c) 99 (d) none Greatest three digit number using three distinct digit

More information

Lesson 14.1 THE BASICS OF SPORT NUTRITION

Lesson 14.1 THE BASICS OF SPORT NUTRITION Lesson 14.1 THE BASICS OF SPORT NUTRITION ~ ~ ~ TOPICS COVERED IN THIS LESSON (a) Macronutrients and Micronutrients (b) Dietary Fats: The Good and the Bad 2015 Thompson Educational Publishing, Inc. 1 Nutrients

More information

Welcome back to Science Junior Science. Easy to read Version

Welcome back to Science Junior Science. Easy to read Version Welcome back to Science Junior Science Easy to read Version 1a What is Science? Science is both a collection of knowledge and the process for building that knowledge. Science asks questions about the natural

More information

There are 4 user settings that store the memory of personal parameters for ease of continued use.

There are 4 user settings that store the memory of personal parameters for ease of continued use. INTRODUCTION Thank you for choosing the Healthy Balance Electronic Body Fat Scale. For proper usage of this device please read the following instructions carefully. Using the latest BIA (Bioelectrical

More information

Choosing the correct statistical test in research

Choosing the correct statistical test in research Leading Article Choosing the correct statistical test in research Nalika Gunawardena 1 Sri Lanka Journal of Child Health, 2011; 40: 149-153 (Key words: Statistical test; research) Gone are the days where

More information

Analysis of Categorical Data from the Ashe Center Student Wellness Survey

Analysis of Categorical Data from the Ashe Center Student Wellness Survey Lab 6 Analysis of Categorical Data from the Ashe Center Student Wellness Survey Before starting this lab, you should be familiar with: the difference between categorical and quantitative variables, and

More information

KENDRIYA VIDYALAYA SANGATHAN (PATNA REGION)

KENDRIYA VIDYALAYA SANGATHAN (PATNA REGION) KENDRIYA VIDYALAYA SANGATHAN (PATNA REGION) SUMMATIVE ASSESSMENT -2 (,2015-2016) CLASS VII MATHEMATICS BLUEPRINT CHAPTER/TOPIC M C Q (1) V S A (2) S A (3) L A (4) OTBA TOTAL CONGRUENCE OF TRIANGLES 2(2)

More information

Assessing Overweight in School Going Children: A Simplified Formula

Assessing Overweight in School Going Children: A Simplified Formula Journal of Applied Medical Sciences, vol. 4, no. 1, 2015, 27-35 ISSN: 2241-2328 (print version), 2241-2336 (online) Scienpress Ltd, 2015 Assessing Overweight in School Going Children: A Simplified Formula

More information

STATISTICS AND RESEARCH DESIGN

STATISTICS AND RESEARCH DESIGN Statistics 1 STATISTICS AND RESEARCH DESIGN These are subjects that are frequently confused. Both subjects often evoke student anxiety and avoidance. To further complicate matters, both areas appear have

More information

bivariate analysis: The statistical analysis of the relationship between two variables.

bivariate analysis: The statistical analysis of the relationship between two variables. bivariate analysis: The statistical analysis of the relationship between two variables. cell frequency: The number of cases in a cell of a cross-tabulation (contingency table). chi-square (χ 2 ) test for

More information

Fitness Concepts + Principles Packet. Name: Period:

Fitness Concepts + Principles Packet. Name: Period: Fitness Concepts + Principles Packet Name: Period: Content Pages + Directions 5 Components of Fitness.................................................... Slides 3-12 FITT Principle.........................................................

More information

Protein quantitation guidance (SXHL288)

Protein quantitation guidance (SXHL288) Protein quantitation guidance (SXHL288) You may find it helpful to print this document and have it to hand as you work onscreen with the spectrophotometer. Contents 1. Introduction... 1 2. Protein Assay...

More information

The Design and Development of BMI Calc Android Application

The Design and Development of BMI Calc Android Application IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS The Design and Development of BMI Calc Android Application To cite this article: Iliana Mohd Ali and Nooraida Samsudin 2016 IOP

More information

Paper Airplanes & Scientific Methods

Paper Airplanes & Scientific Methods Paper Airplanes & Scientific Methods Scientific Inquiry refers to the many different ways in which scientists investigate the world. Scientific investigations are done to answer questions and solve problems.

More information

iflakes Investigation 5 Understanding the Investigation Teacher note

iflakes Investigation 5 Understanding the Investigation Teacher note Investigation 5 iflakes Topics Before you start the Investigation you need to know NA16 Place value to thousandths... p62 NA22 Percentages... p74 NA23 Percentages using a calculator... p76 SP2 Interpreting

More information

Research Methods in Forest Sciences: Learning Diary. Yoko Lu December Research process

Research Methods in Forest Sciences: Learning Diary. Yoko Lu December Research process Research Methods in Forest Sciences: Learning Diary Yoko Lu 285122 9 December 2016 1. Research process It is important to pursue and apply knowledge and understand the world under both natural and social

More information

Investigations in Number, Data, and Space, Grade 4, 2nd Edition 2008 Correlated to: Washington Mathematics Standards for Grade 4

Investigations in Number, Data, and Space, Grade 4, 2nd Edition 2008 Correlated to: Washington Mathematics Standards for Grade 4 Grade 4 Investigations in Number, Data, and Space, Grade 4, 2nd Edition 2008 4.1. Core Content: Multi-digit multiplication (Numbers, Operations, Algebra) 4.1.A Quickly recall multiplication facts through

More information

Core practical 1: Investigate a factor affecting the initial rate of reaction

Core practical 1: Investigate a factor affecting the initial rate of reaction Core practical 1 Teacher sheet Core practical 1: Investigate a factor affecting the initial rate of reaction Objectives To be able to measure the initial rate of enzyme activity To understand why measuring

More information

Statistical Methods and Reasoning for the Clinical Sciences

Statistical Methods and Reasoning for the Clinical Sciences Statistical Methods and Reasoning for the Clinical Sciences Evidence-Based Practice Eiki B. Satake, PhD Contents Preface Introduction to Evidence-Based Statistics: Philosophical Foundation and Preliminaries

More information

Correlating Data to Formula Creation: The Egg Experiment. understand that formulas are created to develop correlations between real world data

Correlating Data to Formula Creation: The Egg Experiment. understand that formulas are created to develop correlations between real world data Correlating Data to Formula Creation: The Egg Experiment Introduction: The purposes of this exercise is to 1) learn to use Excel proficiently and 2) understand that formulas are created to develop correlations

More information

A student carried out a series of food tests on a sample of milk. The student s observations and conclusions are shown in Table 1.1.

A student carried out a series of food tests on a sample of milk. The student s observations and conclusions are shown in Table 1.1. 1 (a) Milk is considered to be a complete food containing most of the components of a balanced diet. A student carried out a series of food tests on a sample of milk. The student s observations and conclusions

More information

MUE247 Alignment Methods and Application H.H. Sheik Sultan Tower (0) Floor Corniche Street Abu Dhabi U.A.E

MUE247 Alignment Methods and Application H.H. Sheik Sultan Tower (0) Floor Corniche Street Abu Dhabi U.A.E MUE247 Alignment Methods and Application H.H. Sheik Sultan Tower (0) Floor Corniche Street Abu Dhabi U.A.E www.ictd.ae ictd@ictd.ae Course Introduction: One of the most common causes of vibration in rotating

More information

AP STATISTICS 2009 SCORING GUIDELINES

AP STATISTICS 2009 SCORING GUIDELINES AP STATISTICS 2009 SCORING GUIDELINES Question 1 Intent of Question The primary goals of this question were to assess a student s ability to (1) construct an appropriate graphical display for comparing

More information

6. Unusual and Influential Data

6. Unusual and Influential Data Sociology 740 John ox Lecture Notes 6. Unusual and Influential Data Copyright 2014 by John ox Unusual and Influential Data 1 1. Introduction I Linear statistical models make strong assumptions about the

More information

ISPUB.COM. D Adeyemi, O Komolafe, A Abioye INTRODUCTION

ISPUB.COM. D Adeyemi, O Komolafe, A Abioye INTRODUCTION ISPUB.COM The Internet Journal of Biological Anthropology Volume 2 Number 2 Variations In Body Mass Indices Among Post-Pubertal Nigerian Subjects With Correlation To Cormic Indices, Mid- Arm Circumferences

More information

BC380. The New Standard in Body Composition Analysis BODY COMPOSITION ANALYZER

BC380. The New Standard in Body Composition Analysis BODY COMPOSITION ANALYZER www.accuniq.com BC380 The New Standard in Body Composition Analysis BODY COMPOSITION ANALYZER Multi-Frequency Segmental Body Composition Analysis using BIA Technology 02 Product Introduction ACCUNIQ BC380

More information

Measures of Dispersion. Range. Variance. Standard deviation. Measures of Relationship. Range. Variance. Standard deviation.

Measures of Dispersion. Range. Variance. Standard deviation. Measures of Relationship. Range. Variance. Standard deviation. Measures of Dispersion Range Variance Standard deviation Range The numerical difference between the highest and lowest scores in a distribution It describes the overall spread between the highest and lowest

More information

Key Performance Indicators for the UK national dairy herd

Key Performance Indicators for the UK national dairy herd Key Performance Indicators for the UK national dairy herd A study of herd performance in 500 Holstein/Friesian herds for the year ending 31 st August 2014 Dr. James Hanks & Dr. Mohamad Kossaibati December,

More information

Unit 1 Exploring and Understanding Data

Unit 1 Exploring and Understanding Data Unit 1 Exploring and Understanding Data Area Principle Bar Chart Boxplot Conditional Distribution Dotplot Empirical Rule Five Number Summary Frequency Distribution Frequency Polygon Histogram Interquartile

More information

Competitor Series. Body Composition Analyzers

Competitor Series. Body Composition Analyzers Competitor Series Body Composition Analyzers Right Arm Bringing it All Together. Giving You the Advantage. Right Leg Trunk Left Arm Rice Lake s Competitor Series body composition analyzers (BCA) are designed

More information

Obesity and Breast Cancer Risk

Obesity and Breast Cancer Risk Program on Breast Cancer Environmental Risk Factors Fact Sheet #56 August 2007 TOPICS Measurement of obesity BMI and breast cancer risk Weight gain and loss and breast cancer risk Body fat distribution

More information

POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY

POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY No. of Printed Pages : 12 MHS-014 POST GRADUATE DIPLOMA IN BIOETHICS (PGDBE) Term-End Examination June, 2016 MHS-014 : RESEARCH METHODOLOGY Time : 2 hours Maximum Marks : 70 PART A Attempt all questions.

More information

Math Workshop On-Line Tutorial Judi Manola Paul Catalano. Slide 1. Slide 3

Math Workshop On-Line Tutorial Judi Manola Paul Catalano. Slide 1. Slide 3 Kinds of Numbers and Data First we re going to think about the kinds of numbers you will use in the problems you will encounter in your studies. Then we will expand a bit and think about kinds of data.

More information

Before we get started:

Before we get started: Before we get started: http://arievaluation.org/projects-3/ AEA 2018 R-Commander 1 Antonio Olmos Kai Schramm Priyalathta Govindasamy Antonio.Olmos@du.edu AntonioOlmos@aumhc.org AEA 2018 R-Commander 2 Plan

More information

Introduction to Science Junior Science. Easy to read Version

Introduction to Science Junior Science. Easy to read Version Introduction to Science Junior Science Easy to read Version 1 1a What is Science? Science is both a collection of knowledge and the process for building that knowledge. Science asks questions about the

More information

GDA Labelling Style Guide

GDA Labelling Style Guide GDA Labelling Style Guide This guide is designed to ensure consistency in terms of layout and style amongst the companies that decided to provide GDAs in a graphical form in the context of CIAA scheme

More information

111, section 8.6 Applications of the Normal Distribution

111, section 8.6 Applications of the Normal Distribution 111, section 8.6 Applications of the Normal Distribution notes by Tim Pilachowski A probability density function f(x) for a continuous random variable has two necessary characteristics. 1. f(x) 0 for all

More information

Appendix B Statistical Methods

Appendix B Statistical Methods Appendix B Statistical Methods Figure B. Graphing data. (a) The raw data are tallied into a frequency distribution. (b) The same data are portrayed in a bar graph called a histogram. (c) A frequency polygon

More information

Body Mass Insanity. sources, obesity has been categorized as the epidemic Americans are facing at an accelerated

Body Mass Insanity. sources, obesity has been categorized as the epidemic Americans are facing at an accelerated Hildebrand 1 Marshane Hildebrand Professor Jeff Moulton Engl 2010-014 26 March 2013 Report Rough Draft Body Mass Insanity According to reports that have been circulated around the internet and other news

More information

Arthritis Ireland, making a BIG difference everyday

Arthritis Ireland, making a BIG difference everyday Arthritis Ireland, making a BIG difference everyday Controlling your weight Carrying excess weight is a common problem for people with arthritis. Certain drugs, such as steroids, can lead to weight

More information

Statistics is a broad mathematical discipline dealing with

Statistics is a broad mathematical discipline dealing with Statistical Primer for Cardiovascular Research Descriptive Statistics and Graphical Displays Martin G. Larson, SD Statistics is a broad mathematical discipline dealing with techniques for the collection,

More information

A graphical model for interval training

A graphical model for interval training STUDIES by IAAF 18:3; 49-55 2003 A graphical model for interval training By Guy Thibault The author proposes a model of the dynamic link between the components of an interval training session. It has several

More information

KS4 Physical Education

KS4 Physical Education KS4 Physical Education Body Types & Weight These icons indicate that teacher s notes or useful web addresses are available in the Notes Page. This icon indicates that the slide contains activities created

More information

Low glycaemic index diet is effective in managing weight among obese postpartum women

Low glycaemic index diet is effective in managing weight among obese postpartum women 548 RESEARCH ARTICLE Low glycaemic index diet is effective in managing weight among obese postpartum women Shahnai Basharat, 1 Syed Amir Gilani, 2 Amjad Iqbal Burq, 3 Shahid Bashir 4 Abstract Objective:

More information

3.2 Least- Squares Regression

3.2 Least- Squares Regression 3.2 Least- Squares Regression Linear (straight- line) relationships between two quantitative variables are pretty common and easy to understand. Correlation measures the direction and strength of these

More information

1. Bring your completed exam to class on Monday November 10, 2014, being sure that you have made a copy for safe keeping; OR

1. Bring your completed exam to class on Monday November 10, 2014, being sure that you have made a copy for safe keeping; OR PubHlth 540 Fall 2014 Exam III Choice B (Unit 5 Normal) corrected 10-28-14 Page 1 of 7 PubHlth 540 - Introductory Biostatistics Fall 2014 Examination III Choice B Unit 5 (Normal) Due Monday November 10,

More information

STP226 Brief Class Notes Instructor: Ela Jackiewicz

STP226 Brief Class Notes Instructor: Ela Jackiewicz CHAPTER 2 Organizing Data Statistics=science of analyzing data. Information collected (data) is gathered in terms of variables (characteristics of a subject that can be assigned a numerical value or nonnumerical

More information

Measurement and Descriptive Statistics. Katie Rommel-Esham Education 604

Measurement and Descriptive Statistics. Katie Rommel-Esham Education 604 Measurement and Descriptive Statistics Katie Rommel-Esham Education 604 Frequency Distributions Frequency table # grad courses taken f 3 or fewer 5 4-6 3 7-9 2 10 or more 4 Pictorial Representations Frequency

More information

Math Workshop On-Line Tutorial Judi Manola Paul Catalano

Math Workshop On-Line Tutorial Judi Manola Paul Catalano Math Workshop On-Line Tutorial Judi Manola Paul Catalano 1 Session 1 Kinds of Numbers and Data, Fractions, Negative Numbers, Rounding, Averaging, Properties of Real Numbers, Exponents and Square Roots,

More information

CHAPTER ONE CORRELATION

CHAPTER ONE CORRELATION CHAPTER ONE CORRELATION 1.0 Introduction The first chapter focuses on the nature of statistical data of correlation. The aim of the series of exercises is to ensure the students are able to use SPSS to

More information

Are current social marketing campaigns getting through to undergraduate university students?

Are current social marketing campaigns getting through to undergraduate university students? University of Wollongong Research Online Faculty of Health and Behavioural Sciences - Papers (Archive) Faculty of Science, Medicine and Health 2003 Are current social marketing campaigns getting through

More information

The M Ruler (Figure 6) Figure 6 M Ruler (Figure 7)

The M Ruler (Figure 6) Figure 6 M Ruler (Figure 7) The M Ruler Dr. Alain Méthot, D.M.D. M.Sc. It has been shown that the Golden Rule cannot be universally applied to all patients; it therefore became necessary to find a formula adaptable for each patient.

More information

Six Sigma Glossary Lean 6 Society

Six Sigma Glossary Lean 6 Society Six Sigma Glossary Lean 6 Society ABSCISSA ACCEPTANCE REGION ALPHA RISK ALTERNATIVE HYPOTHESIS ASSIGNABLE CAUSE ASSIGNABLE VARIATIONS The horizontal axis of a graph The region of values for which the null

More information

Achieving a Healthy Body Weight

Achieving a Healthy Body Weight 1 Achieving a Healthy Body Weight by Dr Greg Wilson INTRODUCTION This is the second article in our Healthy, Fit and Happy lifestyle series. One of the primary goals of many people on their path to a healthy

More information

Introduction to SPSS S0

Introduction to SPSS S0 Basic medical statistics for clinical and experimental research Introduction to SPSS S0 Katarzyna Jóźwiak k.jozwiak@nki.nl November 10, 2017 1/55 Introduction SPSS = Statistical Package for the Social

More information

NEW! KIBION DYNAMIC 13 C BREATH TEST ANALYSER. Rapid and reliable diagnosis of Helicobacter pylori infections

NEW! KIBION DYNAMIC 13 C BREATH TEST ANALYSER. Rapid and reliable diagnosis of Helicobacter pylori infections NEW! KIBION DYNAMIC 13 C BREATH TEST ANALYSER Rapid and reliable diagnosis of Helicobacter pylori infections Help prevent chronic Helicobacter pylori infections and the development of gastric cancer More

More information

Understanding Uncertainty in School League Tables*

Understanding Uncertainty in School League Tables* FISCAL STUDIES, vol. 32, no. 2, pp. 207 224 (2011) 0143-5671 Understanding Uncertainty in School League Tables* GEORGE LECKIE and HARVEY GOLDSTEIN Centre for Multilevel Modelling, University of Bristol

More information

Mammogram Analysis: Tumor Classification

Mammogram Analysis: Tumor Classification Mammogram Analysis: Tumor Classification Term Project Report Geethapriya Raghavan geeragh@mail.utexas.edu EE 381K - Multidimensional Digital Signal Processing Spring 2005 Abstract Breast cancer is the

More information

From raw data to easily understood gender statistics. United Nations Statistics Division

From raw data to easily understood gender statistics. United Nations Statistics Division From raw data to easily understood gender statistics United Nations Statistics Division SEX versus GENDER in statistics: a summary Demographic, social and economic characteristics + Sex = a biological

More information

The WEIGHT. of your Health. A guide to health implications for overweight or obese individuals. Royal College of Surgeons in Ireland

The WEIGHT. of your Health. A guide to health implications for overweight or obese individuals. Royal College of Surgeons in Ireland The WEIGHT of your Health for overweight or obese individuals Royal College of Surgeons in Ireland What is obesity? 1 How does obesity occur? 1 How common is obesity? 1 How is obesity measured? 2 Obesity

More information

Component of Statistics Canada Catalogue no X Health Fact Sheets. Article. Body Composition of Canadian Adults 2007 to 2009.

Component of Statistics Canada Catalogue no X Health Fact Sheets. Article. Body Composition of Canadian Adults 2007 to 2009. Component of Statistics Canada Catalogue no. 82-625-X Health Fact Sheets Article Body Composition of Canadian Adults 2007 to 2009 January 2010 How to obtain more information For information about this

More information

Key Performance Indicators for the UK national dairy herd

Key Performance Indicators for the UK national dairy herd Key Performance Indicators for the UK national dairy herd A study of herd performance in 500 Holstein/Friesian herds for the year ending 31 st August 2016 Dr. James Hanks & Dr. Mohamad Kossaibati December,

More information

The Use Of Statistical Methods In The Manufacture Of Clothing

The Use Of Statistical Methods In The Manufacture Of Clothing INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 2, ISSUE 5, MAY 2 ISSN 22778616 The Use Of Statistical Methods In The Manufacture Of Clothing Marie Nejedla, Eleanora Psenova Abstract:

More information

microprocessor controlled eddy current brake Load / accuracy Watt, speed independent / according to DIN VDE

microprocessor controlled eddy current brake Load / accuracy Watt, speed independent / according to DIN VDE Technical data Ergometer for cardiac rehabilitation Brake system microprocessor controlled eddy current brake Load / accuracy 6-999 Watt, speed independent / according to DIN VDE 0750-238 Speed range 30-130

More information

CHAPTER 3 Describing Relationships

CHAPTER 3 Describing Relationships CHAPTER 3 Describing Relationships 3.1 Scatterplots and Correlation The Practice of Statistics, 5th Edition Starnes, Tabor, Yates, Moore Bedford Freeman Worth Publishers Reading Quiz 3.1 True/False 1.

More information

Sanlam wellness. Winning at losing

Sanlam wellness. Winning at losing tracking your weight loss Losing weight is not easy but also not impossible. The basics of how to lose weight are fairly well understood, despite all the confusion and nonsense that abounds in popular

More information

» Guided Surgery. by MEDENTiKA « MEDENTIGUIDE SURGERY MANUAL MICROCONE. IPS Implant systems

» Guided Surgery. by MEDENTiKA « MEDENTIGUIDE SURGERY MANUAL MICROCONE. IPS Implant systems » Guided Surgery by MEDENTiKA «IPS Implant systems MEDENTIGUIDE MICROCONE SURGERY MANUAL » MedentiGuide «MedentiGuide drill sleeves support the surgeon in preparing the implant bed for MEDENTiKA implants.

More information

professional rehabilitation PRODUCT RANGE by

professional rehabilitation PRODUCT RANGE by professional rehabilitation PODUCT ANGE by KINETEC PIMA ADVANCE The easiest and most intuitive knee CPM device on the market Ease of use emarkable dimensions Extremely lightweight OM from -5 to 115 One-button

More information

One-Way Independent ANOVA

One-Way Independent ANOVA One-Way Independent ANOVA Analysis of Variance (ANOVA) is a common and robust statistical test that you can use to compare the mean scores collected from different conditions or groups in an experiment.

More information

INFLUENCE OF DETAILS IN PRODUCT SHAPE RECOGNITION

INFLUENCE OF DETAILS IN PRODUCT SHAPE RECOGNITION U.P.B. Sci. Bull., Series D, Vol. 78, Iss. 4, 2016 ISSN 1454-2358 INFLUENCE OF DETAILS IN PRODUCT SHAPE RECOGNITION Andrei DUMITRESCU 1, Mihaela-Elena ULMEANU 2 The paper presents the results of an experiment

More information