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Sandra Thomas-Comenole에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Sandra Thomas-Comenole 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Sample Selection Bias | Definition Minute

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Manage episode 304898709 series 2803680
Sandra Thomas-Comenole에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Sandra Thomas-Comenole 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode, we are considering the Sample Selection Bias. Sample Selection Bias is a systematic error caused by choosing non-random data for statistical and qualitative analysis. The bias exists due to a flaw in the sample selection process, where a subset of the data is excluded due to a particular attribute, sampling technique or even geographic location; resulting in a biased sample, defined as a statistical sample of a population in which all participants are not equally balanced or objectively represented. The exclusion of the subset can influence the statistical significance and produces distorted results.
📎 Definition Minute is a new subset of the Behavioral Economics in Marketing podcast. In these mini-episodes, I will define economic theories, in a minute or two. The topics will be review, introductory or discrete in nature.

Behavioral Economics in Marketing Podcast | Understanding how we as humans make decisions is an important part of marketing. Behavioral economics is the study of decision-making and can give keen insight into buyer behavior and help to shape your marketing mix. Marketers can tap into Behavioral Economics to create environments that nudge people towards their products and services, to conduct better market research and analyze their marketing mix.

Sandra Thomas-Comenole | Host | Marketing professional with over 10 years of experience leading marketing and sales teams and a rigorously quantitative Master’s degree in economics from Rensselaer Polytechnic Institute. Check out her Linkedin profile here: Sandra Thomas-Comenole, Head of Marketing, Travel & Tourism

  continue reading

182 에피소드

Artwork
icon공유
 
Manage episode 304898709 series 2803680
Sandra Thomas-Comenole에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Sandra Thomas-Comenole 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode, we are considering the Sample Selection Bias. Sample Selection Bias is a systematic error caused by choosing non-random data for statistical and qualitative analysis. The bias exists due to a flaw in the sample selection process, where a subset of the data is excluded due to a particular attribute, sampling technique or even geographic location; resulting in a biased sample, defined as a statistical sample of a population in which all participants are not equally balanced or objectively represented. The exclusion of the subset can influence the statistical significance and produces distorted results.
📎 Definition Minute is a new subset of the Behavioral Economics in Marketing podcast. In these mini-episodes, I will define economic theories, in a minute or two. The topics will be review, introductory or discrete in nature.

Behavioral Economics in Marketing Podcast | Understanding how we as humans make decisions is an important part of marketing. Behavioral economics is the study of decision-making and can give keen insight into buyer behavior and help to shape your marketing mix. Marketers can tap into Behavioral Economics to create environments that nudge people towards their products and services, to conduct better market research and analyze their marketing mix.

Sandra Thomas-Comenole | Host | Marketing professional with over 10 years of experience leading marketing and sales teams and a rigorously quantitative Master’s degree in economics from Rensselaer Polytechnic Institute. Check out her Linkedin profile here: Sandra Thomas-Comenole, Head of Marketing, Travel & Tourism

  continue reading

182 에피소드

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