Keywords and phrases: Shewhart charts, students learning outcomes, multiple dependent state repetitive, quality improvement, benchmarking.
Received: April 17, 2021; Accepted: April 19, 2021; Published: May 28, 2021
How to cite this article: Nawal G. Alghamdi, Khushnoor Khan and Muhammad Aslam, Application of a new statistical control chart - a new paradigm on improving students learning outcomes, Advances and Applications in Statistics 68(2) (2021), 213-223. DOI: 10.17654/AS068020213
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
References:
[1] D. J. Wheeler, Understanding variation - The Key to Managing Chaos, SPC Press, Knoxville, 2000. [2] S. J. Peterson, Benchmarking student learning outcomes using Shewhart control charts, 51st ASC Annual International Conference Proceedings, Weber State University, Ogden, Utah, 2015. [3] J. P. Barber, American Educational Research Journal 49 (2012), 590. [4] N. G. Alghamdi and M. Aslam, Improving benchmarking student learning outcomes using repetitive sampling control chart, Journal of Computational and Theoretical Nanoscience 13(10) (2016), 7036-7039. [5] N. G. Alghamdi and K. Khushnoor, Application of multiple dependent state sampling in improving benchmarking for students learning outcomes, Journal of Computational and Theoretical Nanoscience 15(4) (2018), 1243-1246. [6] J. C. Lu, S. L. Jeng and K. Wang, A review of statistical methods for quality improvement and control in nanotechnology, Journal of Quality Technology 41(2) (2009), 148-164. [7] M. T. Alshamkhani, Quality design and control tools in nanotechnology, International Journal of Scientific and Engineering Research 8(6) (2017), 913-946. [8] M. S. Aldosari, M. Aslam and C. H. Jun, A new attribute control chart using multiple dependent state repetitive sampling, IEEE Access 5 (2017), 6192-6197.
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