Independent Samples t Test and the Mann-Whitney-Wilcoxon Test to Know the Effect of the Drill Method on Mathematics Learning Outcomes

Nurwiani , Lia Budi Tristanti

Journal of Modern Applied Statistical Methods ›› 2025, Vol. 24 ›› Issue (1) : 1

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Journal of Modern Applied Statistical Methods ›› 2025, Vol. 24 ›› Issue (1) :1 DOI: 10.56801/Jmasm.V24.i1.1
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Independent Samples t Test and the Mann-Whitney-Wilcoxon Test to Know the Effect of the Drill Method on Mathematics Learning Outcomes
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Abstract

This study aims to analyze the effect of the drill method on the mathematics learning outcomes of seventh-grade students at SMP Negeri 5 Jombang. The pre-test results were tested for normality using the Shapiro-Wilk test and for homogeneity using the Bartlett test. The pre-test results showed the data were normally distributed and homogeneous. The t-test indicated that the pre-test mean scores between the control and experimental classes were the same. However, the post-test data for the experimental class were not normally distributed, so homogeneity was tested using the Levene test. The Mann-Whitney test showed a significant difference, proving that the drill method affects students’ learning outcomes.

Keywords

independent samples t test / Mann-Whitney-Wilcoxon test / the drill method / mathematics learning outcomes / State Junior High School 5 Jombang

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Nurwiani, Lia Budi Tristanti. Independent Samples t Test and the Mann-Whitney-Wilcoxon Test to Know the Effect of the Drill Method on Mathematics Learning Outcomes. Journal of Modern Applied Statistical Methods, 2025, 24(1): 1 DOI:10.56801/Jmasm.V24.i1.1

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Author Contributions

All authors contributed to the design of the study. The first author (N.) was responsible for the statistics-related content, while the second author (L.B.T.) was responsible for the education-related content. Both authors wrote the first draft, and the first author checked the final versions. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the University of PGRI Jombang, and approved by the Ethics Committee (number 014/TKIA/KL/2024 and it was approved on 4 October 2024).

Informed Consent Statement

Informed consent was obtained from the parents of all subjects in this study

Data Availability Statement

The data used in this study was secondary data obtained by Rahayu [32] during her study for Bachelor’s degree under the supervision of Nurwiani. However, the authors employed different analysis methods to Rahayu.

Conflicts of Interest

The authors have no conflicts of interest to declare.

References

[1]

Hair J.F.; Black W.C.; Babin B.J.; et al. Multivariate Data Analysis, 8th ed.; Cengage Learnin: Boston, MA USA, 2019; pp. 355-360.

[2]

Rumsey D.J. Statistics for Dummies, 2nd ed.; John Wiley & Sons: Hoboken, NJ, USA, 2016.

[3]

Gravetter F.J.; Wallnau L.B. Statistics for the Behavioral Sciences, 10th ed.; Cengage Learning: Boston, MA USA, 2016.

[4]

Field A. Discovering Statistics Using IBM SPSS Statistics, 5th ed.; SAGE Publications: London, UK, 2018.

[5]

Moore D.S.; McCabe G.P.; Craig B.A. Introduction to the Practice of Statistics, 9th ed.; W. H. Freeman and Company: New York, NY USA, 2017.

[6]

Daniel W.W. Applied Nonparametric Statistics, 2nd ed.; Georgia State University: Atlanta, GA, USA, 1990.

[7]

Conover W.J. Practical Nonparametric Statistics, 3rd ed.; John Wiley & Sons: New York, NY USA, 1999.

[8]

McKnight P.E.; Najab J. Mann-Whitney U Test. In The Corsini Encyclopedia of Psychology, 4th ed.; John Wiley & Sons: Hoboken, NJ, USA, 2010.

[9]

Arends R.I. Learning to Teach, 9th ed.; McGraw-Hill: New York, NY USA, 2012.

[10]

Joyce B.; Weil M.; Calhoun E. Models of Teaching, 9th ed.; Pearson: Boston, MA USA, 2015.

[11]

Lufri; Fitri, R.; Yogica, R. Effectiveness of Concept-Based Learning Model, Drawing and Drill Methods to Improve Student’s Ability to Understand Concepts and High-level Thinking in Animal Development Course. J. Phys. Conf. Ser. 2018, 1116, 052040.

[12]

Gan C.; Cao W.; Wu M.; et al. Two-Level Intelligent Modeling Method for the Rate of Penetration in Complex Geological Drilling Process. Appl. Soft Comput. 2019, 80, 592-602.

[13]

Kumar R.; Hynes N.R.J.; Pruncu C.I.; et al. Multi-objective Optimization of Green Technology Thermal Drilling Process using Grey-Fuzzy Logic Method. J. Clean. Prod. 2019, 236, 117711.

[14]

Killen R. Effective Teaching Strategies: Lessons from Research and Practice, 4th ed.; Thomson Social Science Press: Melbourne, Australia, 2007.

[15]

Brown H.D. Teaching by Principles: An Interactive Approach to Language Pedagogy, 2nd ed.; Longman: White Plains, NY, USA, 2001.

[16]

Gagne R.M. The Conditions of Learning and Theory of Instruction, 4th ed.; Holt, Rinehart and Winston: New York, NY USA, 1985.

[17]

Silberman M. Active Learning: 101 Strategies to Teach Any Subject; Allyn and Bacon: Boston, MA USA, 1996.

[18]

Novyanti Y.The Effect of Drill Method on Numerical Ability of Grade V Students of Batulaccu State Elementary School Makassar. Doctoral Dissertation. Bosowa University Makassar, Indonesia 2022 (In Indonesian)

[19]

Rusyani E.; Ratnengsih E.; Putra A.S.; et al. The Drilling Method Application using Abacus to Arithmetic Operations Skills in Student With Hearing Impairment at Special School. Indones. J. Community Spec. Needs Educ. 2022, 2, 1-10.

[20]

Karnes J.; Barwasser A.; Grünke M. The Effects of a Math Racetracks Intervention on the Single-Digit Multiplication Facts Fluency of Four Struggling Elementary School Students. Insights Into Learn. Disabil. 2021, 18, 53-77.

[21]

Derrick B.; Russ B; Toher D.; et al. Test Statistics for the Comparison of Means for Two Samples that Include both Paired and Independent Observations. J. Mod. Appl. Stat. Methods 2017, 16, 137-157.

[22]

Ross A.; Willson V.L. Basic and Advanced Statistical Tests: Writing Results Sections and Creating Tables and Figure; Sense Publishers: Rotterdam, The Netherlands, 2017.

[23]

Walpole R.E.; Myers R.H.; Myers S.L.; et al. Probability and Statistics for Engineers and Scientists, 9th ed.; Prentice-Hall: Hoboken, NJ, USA, 2016.

[24]

Lin C.C.; Mudholkar G.S. A Simple Test for Normality Against Asymmetric Alternatives. Biometrika 1980, 67, 455-461.

[25]

Yazici B.; Yolacan S. A comparison of Various Tests of Normality. J. Stat. Comput. Simul. 2007, 77, 175-183.

[26]

Nurwiani; Sunaryo, S.; Setiawan; et al. Ridge Regression in Calibration Models with Symmetric Padding Extension-Daubechies Wavelet Transform Preprocessing. J. Mod. Appl. Stat. Methods 2014, 13, 255-266.

[27]

Razali N.M.; Wah Y.B. Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. Power Comparison of the Shapiro-Wilk, J. Stat. Model. Anal. 2011, 2(1), 21-32

[28]

Hogg R.V.; McKean J.W.; Craig A.T. Introduction to Mathematical Statistics, 8th ed.; Pearson Education: London,UK, 2018.

[29]

O’Neill M.E.;Mathews, K. Theory & Methods: A Weighted Least Squares Approachch to Levene’s Test of Homogeneity of Variance. Aust. N. Z. J. Stat. 2002, 42(1), 81-100.

[30]

Lemeshko B.Y.; Lemeshko S.B.; Gorbunov A.A. General Problems of Metrology and Measurement Technique:Application and Power of Criteria for Testing the Homogeneity of Variance. Part I. Parametric Criteria. Meas. Tech. 2010, 53(3), 237-246.

[31]

Qolby B.S. Mann Whitney Test in Non-Parametric Statistics between The Different Level of using the Public Transport with the Private Vehicle. 2014. (In Indonesian)

[32]

Rahayu D.D. The Impact of Drill Method to the Students’ Mathematics Learning Outcome in the Seventh Grade at SMP Negeri 5 Jombang. Thesis, PGRI Jombang University, Jombang, Indonesia, 2023. (In Indonesian)

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