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• W1990260092 abstract "Dalam masyarakat hari ini, teknik berstatistik digunakan secara meluas dalam bidang pendidikan, perubatan, sains sosial dan sains gunaan seperti kejuruteraan. Ianya sangat penting sekali bagi mentafsirkan data dan untuk membuat keputusan. Berdasarkan pengalaman dan penilikan kami melalui seminar, konferensi dan khidmat perundingan, kami dapati beberapa pengamal statistik menyalahguna beberapa teknik statistik dalam penyelidikan mereka. Ketersediaan pakej statistik yang mudah diperoleh seperti SAS dan SPSS, telah menyenangkan penyelidik menganalisis data mereka. Mereka tidak perlu merujuk kepada ahli statistik dan ini membawa kepada penyalahgunaan statistik yang lebih parah dalam analisis data. Akibatnya, kesimpulan yang tidak bermakna dan mengelirukan diperoleh dari analisis yang salah. Oleh kerana kurang kesedaran, para pembuat polisi hanya bersandarkan kepada hasil tersebut untuk membuat keputusan dan ini mungkin membawa bencana kepada masyarakat atau negara. Dengan demikian, amat penting bagi penyelidik untuk menyedari penggunaan teknik statisitik yang betul, agar kesimpulan yang sah dan objektif dapat dikemukakan. Dalam kertas ini, kami akan menarik perhatian terhadap beberapa amalan silap bagi beberapa topik pilihan disebabkan kurangnya kesedaran para penyelidik. Beberapa cadangan yang sesuai diketengahkan bagi menangani masalah tersebut. Kata kunci: Bingkai pensampelan; andaian termaktub; kaedah teguh; pensampelan selesa; teorem had memusat; reka bentuk dan analisis uji kaji In today’s society, statistical techniques are being used with increasing rate in education, medicine, social sciences, and applied sciences such as engineering. They are crucial in interpreting data and making decisions. Based on our experience and observation through seminars, conferences and consultations, we noticed some statistics practitioners often misuse some of the statistical techniques in their researches. The easy availability of the statistical packages such as SAS, SPSS, has driven more researchers to use the packages in analysing their data. They need not to consult the statisticians and this led to greater abuse of statistics in data analysis. Consequently, meaningless and misleading conclusions are obtained from an incorrect analysis. Due to the lack of awareness, the policy makers often rely on these results to make decisions and that means disaster to a community or to a country. Therefore, it is imperative for the researchers to be aware of using the right statistical techniques so that a valid and objective conclusion can be made. In this paper, we will draw attention to some incorrect practices on selected topics caused by the lack of awareness of the researchers. Appropriate suggestions are offered to tackle this problem. Key words: Sampling frames; underlying assumptions; robust method; convenient sampling; central limit theorem; design and analysis of experiment" @default.
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• W1990260092 date "2007-12-01" @default.
• W1990260092 modified "2023-09-26" @default.
• W1990260092 title "The Misconceptions of Some Statistical Techniques In Research" @default.
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• W1990260092 doi "https://doi.org/10.11113/jt.v47.258" @default.
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