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Interpreting data: Boxplots and tables Interpreting data: Boxplots and tables

Description

This unit is concerned with two main topics. In Section 1, you will learn about another kind of graphical display, the boxplot. A boxplot is a fairly simple graphic, which displays certain summary statistics of a set of data. Boxplots are particularly useful for assessing quickly the location, dispersion, and symmetry or skewness of a set of data, and for making comparisons of these features in two or more data sets. Boxplots can also be useful for drawing attention to possible outliers in a data set. The other topic, which is covered in Sections 2 and 3, is that of dealing with data presented in tabular form. You are, no doubt, familiar with such tables: they are common in the media and in reports and other documents. Yet it is not always straightforward to see at first glance just what i This unit is concerned with two main topics. In Section 1, you will learn about another kind of graphical display, the boxplot. A boxplot is a fairly simple graphic, which displays certain summary statistics of a set of data. Boxplots are particularly useful for assessing quickly the location, dispersion, and symmetry or skewness of a set of data, and for making comparisons of these features in two or more data sets. Boxplots can also be useful for drawing attention to possible outliers in a data set. The other topic, which is covered in Sections 2 and 3, is that of dealing with data presented in tabular form. You are, no doubt, familiar with such tables: they are common in the media and in reports and other documents. Yet it is not always straightforward to see at first glance just what i

Subjects

Statistics | Statistics | data | data

License

Except for third party materials and otherwise stated (see http://www.open.ac.uk/conditions terms and conditions), this content is made available under a http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Licence Licensed under a Creative Commons Attribution - NonCommercial-ShareAlike 2.0 Licence - see http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ - Original copyright The Open University

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tabular data tabular data

Description

This RLO examines how survey or experimental data can be converted to cross tabular data, and the steps involved in this process. It also examines how to present it in a way that is useful for recognising patterns and representing graphically. This RLO examines how survey or experimental data can be converted to cross tabular data, and the steps involved in this process. It also examines how to present it in a way that is useful for recognising patterns and representing graphically.

Subjects

ukoer | ukoer | Research | Research | Research methods | Research methods | Statistics | Statistics

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Descriptive statistics for interval and ratio scale data Descriptive statistics for interval and ratio scale data

Description

Describing the use of measures of central tendency - mean, mode, median - and dispersion - range, Standard Deviation. Describing the use of measures of central tendency - mean, mode, median - and dispersion - range, Standard Deviation.

Subjects

ukoer | ukoer | EBP | EBP | Statistics | Statistics

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Mathematical Methods II Mathematical Methods II

Description

This course consists of a introduction to linear algebra. This course consists of a introduction to linear algebra.

Subjects

Bachelor in Statistics and Business | Bachelor in Statistics and Business | Algebra | Algebra | Prerequisites | Prerequisites | Systems of linear equations | Systems of linear equations | Eigenvalues and eigenvectors | Eigenvalues and eigenvectors | General information | General information | Orthogonality and least-square problems | Orthogonality and least-square problems | Singular value decomposition | Singular value decomposition | ística y Empresa | ística y Empresa | Real vector spaces | Real vector spaces | Matrices and determinants | Matrices and determinants | Diagonalization | Diagonalization | 2012 | 2012

License

Copyright 2015, UC3M http://creativecommons.org/licenses/by-nc-sa/4.0/

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Levels of Measurement Levels of Measurement

Description

To understand the different levels of measurement and the arithmetic operations that can be performed on them To understand the different levels of measurement and the arithmetic operations that can be performed on them

Subjects

ukoer | ukoer | EBP | EBP | Research methods | Research methods | Statistics | Statistics

License

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Power and sample size Power and sample size

Description

An introduction to type I and type II errors with an interactive simulation to show the dynamic effects of variables on the power of the study An introduction to type I and type II errors with an interactive simulation to show the dynamic effects of variables on the power of the study

Subjects

ukoer | ukoer | Statistics | Statistics

License

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Relationship between incidence and prevalence Relationship between incidence and prevalence

Description

An explanation of the relationship between incidence and prevalence with an interactive example An explanation of the relationship between incidence and prevalence with an interactive example

Subjects

ukoer | ukoer | Statistics | Statistics

License

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Birth Prevalence Birth Prevalence

Description

This RLO explores the concept of birth prevalence, a special type of prevalence defined as "the percentage of a given population who have a particular disease in a given population at a given point in time or over a particular time period." This RLO explores the concept of birth prevalence, a special type of prevalence defined as "the percentage of a given population who have a particular disease in a given population at a given point in time or over a particular time period."

Subjects

ukoer | ukoer | Statistics | Statistics

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Sistemas de Información Geográfica: Técnicas Cuantitativas para Gestión de Datos Sistemas de Información Geográfica: Técnicas Cuantitativas para Gestión de Datos

Description

Diariamente, miles de empresas, industrias y gobiernos de todo el mundo, utilizan la tecnología de los Sistemas de Información Geográfica (SIG) para ayudar a resolver complicados problemas y mejorar nuestra calidad de vida. Los SIG son una importante herramienta para la comprensión y preservación de nuestro medio ambiente. Son utilizados en esfuerzos para controlar la contaminación, proteger especies en peligro, detectar la deforestación, identificar y comprender los hábitats de animales, etc.. Industrias privadas y agencias gubernamentales también hacen uso de estas herramientas para aprovechar nuestros recursos naturales con mayor prudencia y habilidad. Así como los SIG se utilizan para diversas aplicaciones en el mundo real, pueden usarse en la enseñanza como una valiosa her Diariamente, miles de empresas, industrias y gobiernos de todo el mundo, utilizan la tecnología de los Sistemas de Información Geográfica (SIG) para ayudar a resolver complicados problemas y mejorar nuestra calidad de vida. Los SIG son una importante herramienta para la comprensión y preservación de nuestro medio ambiente. Son utilizados en esfuerzos para controlar la contaminación, proteger especies en peligro, detectar la deforestación, identificar y comprender los hábitats de animales, etc.. Industrias privadas y agencias gubernamentales también hacen uso de estas herramientas para aprovechar nuestros recursos naturales con mayor prudencia y habilidad. Así como los SIG se utilizan para diversas aplicaciones en el mundo real, pueden usarse en la enseñanza como una valiosa her

Subjects

Statistics | Statistics | Investigación operativa | Investigación operativa | GIS | GIS | Sistemas de Información Geográfica | Sistemas de Información Geográfica | Gestión del territorio | Gestión del territorio | Territory Management | Territory Management | Geoestadística | Geoestadística | Environmental | Environmental | Estadística | Estadística | SIG | SIG | Técnicas Cuantitativas | Técnicas Cuantitativas | Ambiental | Ambiental | Operational Research | Operational Research | Quantitative Technics | Quantitative Technics | Engineering Projects | Engineering Projects | Geostatistical | Geostatistical | Geographic Information Systems | Geographic Information Systems

License

Copyright 2009, by the Contributing Authors http://creativecommons.org/licenses/by-nc-sa/3.0/

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Prevalence Prevalence

Description

An explanation of prevalence as the measurement of a situation at one time An explanation of prevalence as the measurement of a situation at one time

Subjects

ukoer | ukoer | Statistics | Statistics

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Incidence Incidence

Description

An explanation of incidence as the measurement of disease frequency An explanation of incidence as the measurement of disease frequency

Subjects

ukoer | ukoer | Research | Research | Statistics | Statistics

License

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Analysing skid marks Analysing skid marks

Description

This free course, Analysing skid marks, is the second in the series of five courses on mathematical modelling. In it you are asked to relate the stages of the mathematical modelling process to a previously formulated mathematical model. This example, that of skid mark produced by vehicle tyres, is typical of accounts of modelling that you may see in books, or produced in the workplace. The aim of this course is to help you to draw out and to clarify mathematical modelling ideas by considering the example. It assumes that you have studied the course Modelling pollution in the Great Lakes. First published on Wed, 16 Mar 2016 as Analysing skid marks. To find out more visit The Open University's Openlearn website. Creative-Commons 2016 This free course, Analysing skid marks, is the second in the series of five courses on mathematical modelling. In it you are asked to relate the stages of the mathematical modelling process to a previously formulated mathematical model. This example, that of skid mark produced by vehicle tyres, is typical of accounts of modelling that you may see in books, or produced in the workplace. The aim of this course is to help you to draw out and to clarify mathematical modelling ideas by considering the example. It assumes that you have studied the course Modelling pollution in the Great Lakes. First published on Wed, 16 Mar 2016 as Analysing skid marks. To find out more visit The Open University's Openlearn website. Creative-Commons 2016

Subjects

Statistics | Statistics | MSXR209_2 | MSXR209_2

License

Except for third party materials and otherwise stated (see http://www.open.ac.uk/conditions terms and conditions), this content is made available under a http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Licence Licensed under a Creative Commons Attribution - NonCommercial-ShareAlike 2.0 Licence - see http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ - Original copyright The Open University

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Penetrance Penetrance

Description

This resource examines the concept of penetrance, which is the probability that a person carrying a disease-associated genotype will develop the disease within a given time period. This resource examines the concept of penetrance, which is the probability that a person carrying a disease-associated genotype will develop the disease within a given time period.

Subjects

ukoer | ukoer | Research | Research | Statistics | Statistics

License

http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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18.S997 High-Dimensional Statistics (MIT) 18.S997 High-Dimensional Statistics (MIT)

Description

This course offers an introduction to the finite sample analysis of high- dimensional statistical methods. The goal is to present various proof techniques for state-of-the-art methods in regression, matrix estimation and principal component analysis (PCA) as well as optimality guarantees. The course ends with research questions that are currently open. You can read more about Prof. Rigollet's work and courses on his website This course offers an introduction to the finite sample analysis of high- dimensional statistical methods. The goal is to present various proof techniques for state-of-the-art methods in regression, matrix estimation and principal component analysis (PCA) as well as optimality guarantees. The course ends with research questions that are currently open. You can read more about Prof. Rigollet's work and courses on his website

Subjects

High Dimensional Statistics | High Dimensional Statistics | Random Variables | Random Variables | Linear Regression | Linear Regression | Misspecified Linear Models | Misspecified Linear Models | Matrix Estimation | Matrix Estimation | Minmax Lower Bounds | Minmax Lower Bounds | Sub-Gaussian | Sub-Gaussian

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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Statistics - an intuitive introduction : central tendency Statistics - an intuitive introduction : central tendency

Description

Is there just one way of doing it or more than one? Is there just one way of doing it or more than one? Statistical data have a tendency to cluster around some central point. How do we determine this point? Is there just one way of doing it or more than one? Statistical data have a tendency to cluster around some central point. How do we determine this point? Is there just one way of doing it or more than one?

Subjects

UNow | UNow | Stats | Stats | Statistics | Statistics | Maths | Maths | UKOER | UKOER

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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Statistics - an intuitive introduction : graphical display Statistics - an intuitive introduction : graphical display

Description

Different ways of displaying data: boxplots, histograms and distributions. Different ways of displaying data: boxplots, histograms and distributions.

Subjects

UNow | UNow | Stats | Stats | Statistics | Statistics | Maths | Maths | UKOER | UKOER

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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Statistics - an intuitive introduction : introduction Statistics - an intuitive introduction : introduction

Description

Things you need to know before looking at the statistics courses here. Things you need to know before looking at the statistics courses here.

Subjects

UNow | UNow | Statistics | Statistics | Stats | Stats | Math | Math | UKOER | UKOER

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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Statistics - an intuitive introduction : normal distribution Statistics - an intuitive introduction : normal distribution

Description

One of the most common statistical distributions is the normal distribution. What does it tell us and how do we use it? One of the most common statistical distributions is the normal distribution. What does it tell us and how do we use it?

Subjects

UNow | UNow | Stats | Stats | Statistics | Statistics | Maths | Maths | UKOER | UKOER

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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Statistics - an intuitive introduction : standard deviation Statistics - an intuitive introduction : standard deviation

Description

A standard way of measuring statistical variability: standard deviation and the associated concepts of variance and degrees of freedom. A standard way of measuring statistical variability: standard deviation and the associated concepts of variance and degrees of freedom.

Subjects

UNow | UNow | Stats | Stats | Statistics | Statistics | Maths | Maths | UKOER | UKOER

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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Statistics - an intuitive introduction : summation sign Statistics - an intuitive introduction : summation sign

Description

Understanding the summation sign: what does it do … why does it exist? Understanding the summation sign: what does it do … why does it exist?

Subjects

UNow | UNow | Stats | Stats | Statistics | Statistics | Math | Math | UKOER | UKOER

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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Statistics - an intuitive introduction : variability Statistics - an intuitive introduction : variability

Description

Statistical data vary: range and inter-quartile range measure this. Are they good measures? Statistical data vary: range and inter-quartile range measure this. Are they good measures?

Subjects

UNow | UNow | Stats | Stats | Statistics | Statistics | Maths | Maths | UKOER | UKOER

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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Levels of measurement Levels of measurement

Description

Aimed at statistics beginners, this learning object describes, and gives examples of, the four levels of measurement of data: nominal, ordinal, interval and ratio. Aimed at statistics beginners, this learning object describes, and gives examples of, the four levels of measurement of data: nominal, ordinal, interval and ratio.

Subjects

UNow | UNow | Research | Research | Statistics | Statistics | UKOER | UKOER

License

Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA) Except for third party materials (materials owned by someone other than The University of Nottingham) and where otherwise indicated, the copyright in the content provided in this resource is owned by The University of Nottingham and licensed under a Creative Commons Attribution-NonCommercial-ShareAlike UK 2.0 Licence (BY-NC-SA)

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U08483 Medical Statistics: Examination Paper

Description

Examination paper

Subjects

Faculty of Technology | Design and Environment\U084 Statistics\U08483 Medical Statistics

License

Copyright Oxford Brookes University, all rights reserved Copyright Oxford Brookes University, all rights reserved

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What are the latest trends in migration into and out of the UK? - COMPAS Breakfast Briefing

Description

Sarah Croft (Office for National Statistics) gives a talk for the COMPAS Breakfast Briefing series on December 10th, 2010. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

national Office for Statistics | statistics | immigration | society | migration | policy | politics | national Office for Statistics | statistics | immigration | society | migration | policy | politics | 2010-12-10

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Using a scientific calculator

Description

Do you have a Casio fx-83 ES scientific calculator (or a compatible model) and want to learn how to use it? This free course, Using a scientific calculator, will help you to understand how to use the different facilities and functions and discover what a powerful tool this calculator can be! First published on Thu, 03 May 2012 as Using a scientific calculator. To find out more visit The Open University's Openlearn website. Creative-Commons 2012

Subjects

Mathematics & Statistics | MU123_1 | Skills for study: Maths and data

License

Licensed under a Creative Commons Attribution - NonCommercial-ShareAlike 2.0 Licence - see http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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