Applied Sequential in Public Opinion Survey
碩士 === 國立政治大學 === 統計學系 === 88 === In taiwan,when a larger-size voting will be celebrated,the news media will report the information from a public opinion survey. It''s clear that the news media ,demos, political parties and candidates think the information from the public opinion survey is...
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ndltd-TW-088NCCU03370032015-10-13T10:56:28Z http://ndltd.ncl.edu.tw/handle/83770970163580448995 Applied Sequential in Public Opinion Survey 逐次分析在民意調查上的應用 HUANG CHUN TE 黃俊德 碩士 國立政治大學 統計學系 88 In taiwan,when a larger-size voting will be celebrated,the news media will report the information from a public opinion survey. It''s clear that the news media ,demos, political parties and candidates think the information from the public opinion survey is a good fingerpost. When we get the data from a public opinion survey, the sample size almost about 1000 in the report. It will show us the sampling error only about 3%. In this article, we maybe can wield the way is sequential sampling to see the result with few samples. Then the decision-maker can save time to make the decision, and save more money to do other work. In this article, the two examples are the mayor of the taipei voting survey was worked by Trengo public opinion survey center in May and June. It''s clear about, when we interview 600 samples, the interview data showthe steadily result. If we interview more samples, the result is almost no difference. In the two sample, we had enough proofs to stop interview. We can save the access time to make decides and the costto do other work. Yu-ting Cheng Ben-Chang Shia 鄭宇庭 謝邦昌 2000 學位論文 ; thesis 79 zh-TW |
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碩士 === 國立政治大學 === 統計學系 === 88 === In taiwan,when a larger-size voting will be celebrated,the news media will report the information from a public opinion survey. It''s clear that the news media ,demos, political parties and candidates think the information from the public opinion survey is a good fingerpost.
When we get the data from a public opinion survey, the sample size almost about 1000 in the report. It will show us the sampling error only about 3%. In this article, we maybe can wield the way is sequential sampling to see the result with few samples. Then the decision-maker can save time to make the decision, and save more money to do other work.
In this article, the two examples are the mayor of the taipei voting survey was worked by Trengo public opinion survey center in May and June. It''s clear about, when we interview 600 samples, the interview data showthe steadily result. If we interview more samples, the result is almost no difference. In the two sample, we had enough proofs to stop interview. We can save the access time to make decides and the costto do other work.
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Yu-ting Cheng |
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Yu-ting Cheng HUANG CHUN TE 黃俊德 |
author |
HUANG CHUN TE 黃俊德 |
spellingShingle |
HUANG CHUN TE 黃俊德 Applied Sequential in Public Opinion Survey |
author_sort |
HUANG CHUN TE |
title |
Applied Sequential in Public Opinion Survey |
title_short |
Applied Sequential in Public Opinion Survey |
title_full |
Applied Sequential in Public Opinion Survey |
title_fullStr |
Applied Sequential in Public Opinion Survey |
title_full_unstemmed |
Applied Sequential in Public Opinion Survey |
title_sort |
applied sequential in public opinion survey |
publishDate |
2000 |
url |
http://ndltd.ncl.edu.tw/handle/83770970163580448995 |
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