설문조사, 신뢰수준·표본 오차부터 이해하고 시작하기

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그런데 이 정도 이해만으로는 설문조사 결과를 해석하기 어려울 수 있어요. 표본 오차 ±3%p가 구체적으로 어떤 의미이며 어떻게 산정된 수치인지, 신뢰수준이 80%라면 신뢰하기 어렵다고 여겨야 하는지 등이 고민될 수 있죠.

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The TRB Forum on Preparing for Automated Vehicles and Shared Mobility brings together public, private, & research organizational partners to share perspectives on the critical issues around #AutomatedVehicles and #SharedMobility. Join us May 13! https://t.co/JdVG3j8grn https://t.co/MTJVp7Eng6

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Favorite tweet: The TRB Forum on Preparing for Automated Vehicles and Shared Mobility brings together public, private, & research organizational partners to share perspectives on the critical issues around #AutomatedVehicles and #SharedMobility . Join us May 13! https://t.co/JdVG3j8grn pic.twitter.com/MTJVp7Eng6 — TRB (@NASEMTRB) May 7, 2020 The TRB Forum on Preparing for Automated Vehicles and Shared Mobility brings together public, private, & research organizational partners to share perspectives on the critical issues around #AutomatedVehicles and #SharedMobility. Join us May 13! https://t.co/JdVG3j8grn https://t.co/MTJVp7Eng6 http://twitter.com/NASEMTRB/status/1258487070198292480 https://t.co/JdVG3j8grn May 08, 2020 at 05:01AM
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Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis https://t.co/7WKYgRUJou #AI #MachineLearning #DeepLearning #DataScience https://t.co/oTVhwcnJ39

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Favorite tweet: Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis https://t.co/7WKYgRUJou #AI #MachineLearning #DeepLearning #DataScience https://t.co/oTVhwcnJ39 — Mike Tamir, PhD (@MikeTamir) Aug 12, 2022 Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis https://t.co/7WKYgRUJou #AI #MachineLearning #DeepLearning #DataScience https://t.co/oTVhwcnJ39 https://twitter.com/MikeTamir/status/1558115351824580613 https://t.co/7WKYgRUJou August 13, 2022 at 12:37AM
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