E-Practice for Statistical Analysis in Business Course

Nikorn Kannikaklang

Abstract


The purposes of this study were to develop an E-Practice for statistical analysis in business course which was developed for undergraduate students in Business Administration Faculty at Rajamangala University of Technology Krungthep (RMUTK), to test hypothesis of learning achievement in two groups; experimental group and control group, and to evaluate satisfaction of this E-Practice. After the production of the E-Practice, three experts tested and evaluated the E-Practice, which overall parts of satisfaction were evaluated at high level. The hypothesis of learning achievement tested between experimental group 20 students and control group 20 students. It was found that the learning achievement of the experimental group outperformed the control group with the statistical significance at .01 (p-value < .01). After that, all groups of students studied the E-Practice and evaluated satisfaction. It was found that overall parts were evaluated at high level.

Keywords


Statistical Analysis in Business, Business Statistics, E-Learning; E-Practice

Full Text:

PDF

References


Boonruen Pruksasithorn. Development of computer assisted instruction for data structure course on sorting and searching. Master degree of Science in technology of information system management, Mahidol University; 2001.

Bowerman, O’Connell, and Murhpree. Business Statistics in Practice. 7th ed. Mc Graw-Hill International Edition; 2014.

Chatchavan Ruengprapan. Statistics. 5th ed. KhonKhan University; 2001.

Groebner Shannon Fry. Business Statis- tics. 9th ed. Pearson New International Edition; 2014.

Suwit Seavarun. Developing of Compu- ter Assisted Instruction Package on Business Statistics. Master degree of Science in Industrial Education, Division of computer and informationtechnology, King Mongkut's University of Technology Thonburi; 2000.

Taksina Walailak. The Construction of Computer Assisted Instruction Package on Function and Statistics. Master

degree of Science in Industrial Education, Division of computer and information technology, King Mong- kut's University of Technology Thonbu- ri; 2000.