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Monte Carlo Method for Detecting Type I Error and Power of test in Statistics For Pearson Product Moment and Spearman Rank Correlation Coefficients with Small Sample Size and Vaious Distributions

หน่วยงาน ฐานข้อมูลวิทยานิพนธ์ไทย

รายละเอียด

ชื่อเรื่อง : Monte Carlo Method for Detecting Type I Error and Power of test in Statistics For Pearson Product Moment and Spearman Rank Correlation Coefficients with Small Sample Size and Vaious Distributions
นักวิจัย : Jarunee Chaimoon
คำค้น : -
หน่วยงาน : ฐานข้อมูลวิทยานิพนธ์ไทย
ผู้ร่วมงาน : -
ปีพิมพ์ : 2541
อ้างอิง : http://www.thaithesis.org/detail.php?id=6589
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : -
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

The purposes of this research were to study (1) The ability to control Type I error in statistics for testing the significance of Pearson Product Moment and Spearman Rank Correlation coefficients with small sample Size and Various Distributions when the correlation coefficients of population is equal to 0.00 (2) The power of test in statistics for Pearson product moment and Spearman Rank Correlation coefficient when the correlation coefficients of population are equal to 0.50 and 0.90. This research is an Experimental research by The Monte Carlo Method using the Basic Programming language to random population, using the Pascal Programming language to compute and improve .The population used attributed as the vaious distribution having correlation coefficient of 0.00, 0.50 and 0.90. The Sample size of the study were 10, 15, 20 and 25. Research findings were as follows: 1. The result in the performance of the ability to control Type I error of statistics for testing the significance of Pearson Product Moment and Spearman Rank Correlation coefficients of population is 0.00 and specifying the level of significance (a) at .05 and .01 show that they could control Type I error following as the level of significance specified both at .05 and .01 in every sample size and every distribution. 2. The result in the Power of test in statistics for Pearson Product Moment and Spearman Rank Correlation coefficients when the correlation coefficients of population is 0.50 and specifying the level of significance (a) at .05 and .01 were not different and the correlation coefficients of population is 0.90 with specifying the level of significant (a) at .05 were Pearson Product Moment and Spearman Rank Correlation coefficients have the Power of test as 1.000 when the sample size are 25 in every distribution

บรรณานุกรม :
Jarunee Chaimoon . (2541). Monte Carlo Method for Detecting Type I Error and Power of test in Statistics For Pearson Product Moment and Spearman Rank Correlation Coefficients with Small Sample Size and Vaious Distributions.
    กรุงเทพมหานคร : ฐานข้อมูลวิทยานิพนธ์ไทย.
Jarunee Chaimoon . 2541. "Monte Carlo Method for Detecting Type I Error and Power of test in Statistics For Pearson Product Moment and Spearman Rank Correlation Coefficients with Small Sample Size and Vaious Distributions".
    กรุงเทพมหานคร : ฐานข้อมูลวิทยานิพนธ์ไทย.
Jarunee Chaimoon . "Monte Carlo Method for Detecting Type I Error and Power of test in Statistics For Pearson Product Moment and Spearman Rank Correlation Coefficients with Small Sample Size and Vaious Distributions."
    กรุงเทพมหานคร : ฐานข้อมูลวิทยานิพนธ์ไทย, 2541. Print.
Jarunee Chaimoon . Monte Carlo Method for Detecting Type I Error and Power of test in Statistics For Pearson Product Moment and Spearman Rank Correlation Coefficients with Small Sample Size and Vaious Distributions. กรุงเทพมหานคร : ฐานข้อมูลวิทยานิพนธ์ไทย; 2541.