Kendall Rank Correlation Analysis & SPSS Application.pdf

The thesis "Analisis Korelasi Rank Kendall dan Aplikasinya Dengan Program SPSS" was submitted by Khusnul Khotimah (NIM: 4151304502) from the Statistika Terapan dan Komputasi D3 program at the Mathematics Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang, in 2007.

The thesis explores the analysis of Kendall's rank correlation and its application using the SPSS program. It aims to address the lack of in-depth study on Kendall's rank correlation coefficient in previous courses. The research questions focus on the method of analyzing correlation based on Kendall's rank and the comparison between Kendall's rank correlation and Pearson's correlation for interval data using SPSS.

The methodology employed is a literature study (study of books) to gather supporting sources for the thesis. Data analysis involves solving the problem of the method of data processing for Kendall's rank correlation analysis using SPSS. The hypothesis testing process using Kendall's rank correlation involves determining the hypothesis formula, choosing the appropriate test statistic, and drawing conclusions.

The main findings indicate that Kendall's rank correlation is suitable for data with at least an ordinal scale, and changes in data maximum or minimum values do not affect the final conclusion for Kendall's rank correlation but do for Pearson's correlation. It is recommended to use parametric methods for interval or ratio data, and nonparametric methods for nominal or ordinal data.

The thesis is dedicated to various individuals, including parents, teachers, siblings, friends, and the Staterkom 2004 community. The author expresses gratitude to various parties, including the university's rector, deans, and supervisors, for their support and guidance in completing the thesis.