Misuse of Statistics
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It was analyzed the incorrect or misleading use of the data analysis in the business making a business decision. The misuse of the statistics could be addressed by bias or inadequate tools, or the lower knowledge or expertise to develop the data analysis. Misleading statistics are recognized in six distinct categories: misleading data visualizations, selective bias, purposeful, using the small sample size, data fishing, and finally polling. We will describe each misleading of statistics, and we are going to analyze two cases. The first cases expose the misuse of small samples, and data fishing could provide the wrong view of business strategies and affect business decision-making. The second case explains how flawed correlations and faulty... Ver más
2711-4260
11
2020-01-01
59
64
Revista Agunkuyâa - 2021
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
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metarevistapublica_areaandina_revistaagunkuyaa_33_article_1986 |
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Misuse of Statistics Misuse of Statistics It was analyzed the incorrect or misleading use of the data analysis in the business making a business decision. The misuse of the statistics could be addressed by bias or inadequate tools, or the lower knowledge or expertise to develop the data analysis. Misleading statistics are recognized in six distinct categories: misleading data visualizations, selective bias, purposeful, using the small sample size, data fishing, and finally polling. We will describe each misleading of statistics, and we are going to analyze two cases. The first cases expose the misuse of small samples, and data fishing could provide the wrong view of business strategies and affect business decision-making. The second case explains how flawed correlations and faulty polling affect innovation and market surveys when companies introduce new products or services. Major, Johanna 11 1 Núm. 1 , Año 2021 : Agunkuyaa Artículo de revista Journal article 2021-01-01T00:00:00Z 2021-01-01T00:00:00Z 2020-01-01 application/pdf text/xml Fundación Universitaria Área Andina Revista Agunkuyâa 2711-4260 https://revia.areandina.edu.co/index.php/Cc/article/view/1986 10.33132/27114260.1986 https://doi.org/10.33132/27114260.1986 spa https://creativecommons.org/licenses/by-nc-sa/4.0/ Revista Agunkuyâa - 2021 59 64 https://revia.areandina.edu.co/index.php/Cc/article/download/1986/1962 https://revia.areandina.edu.co/index.php/Cc/article/download/1986/2537 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 http://purl.org/redcol/resource_type/ARTREF info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |
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FUNDACIÓN UNIVERSITARIA DEL AREA ANDINA |
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https://nuevo.metarevistas.org/FUNDACIONUNIVERSITARIADELAREAANDINA/logo.png |
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Colombia |
collection |
Revista Agunkuyâa |
title |
Misuse of Statistics |
spellingShingle |
Misuse of Statistics Major, Johanna |
title_short |
Misuse of Statistics |
title_full |
Misuse of Statistics |
title_fullStr |
Misuse of Statistics |
title_full_unstemmed |
Misuse of Statistics |
title_sort |
misuse of statistics |
title_eng |
Misuse of Statistics |
description |
It was analyzed the incorrect or misleading use of the data analysis in the business making a business decision. The misuse of the statistics could be addressed by bias or inadequate tools, or the lower knowledge or expertise to develop the data analysis. Misleading statistics are recognized in six distinct categories: misleading data visualizations, selective bias, purposeful, using the small sample size, data fishing, and finally polling. We will describe each misleading of statistics, and we are going to analyze two cases. The first cases expose the misuse of small samples, and data fishing could provide the wrong view of business strategies and affect business decision-making. The second case explains how flawed correlations and faulty polling affect innovation and market surveys when companies introduce new products or services.
|
author |
Major, Johanna |
author_facet |
Major, Johanna |
citationvolume |
11 |
citationissue |
1 |
citationedition |
Núm. 1 , Año 2021 : Agunkuyaa |
publisher |
Fundación Universitaria Área Andina |
ispartofjournal |
Revista Agunkuyâa |
source |
https://revia.areandina.edu.co/index.php/Cc/article/view/1986 |
language |
spa |
format |
Article |
rights |
https://creativecommons.org/licenses/by-nc-sa/4.0/ Revista Agunkuyâa - 2021 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
type_driver |
info:eu-repo/semantics/article |
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http://purl.org/coar/resource_type/c_6501 |
type_version |
info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
type_content |
Text |
publishDate |
2020-01-01 |
date_accessioned |
2021-01-01T00:00:00Z |
date_available |
2021-01-01T00:00:00Z |
url |
https://revia.areandina.edu.co/index.php/Cc/article/view/1986 |
url_doi |
https://doi.org/10.33132/27114260.1986 |
issn |
2711-4260 |
doi |
10.33132/27114260.1986 |
citationstartpage |
59 |
citationendpage |
64 |
url2_str_mv |
https://revia.areandina.edu.co/index.php/Cc/article/download/1986/1962 |
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1811199875336896512 |