Title – One-Way ANOVA, Calculation of 4 Luxury Car Brands
Author-PRATHAM KADAM (72)
INTRODUCTION
The luxury automotive landscape is defined by a quartet of icons, each offering a distinct philosophy: BMW remains the “Ultimate Driving Machine,” prioritizing athletic handling and driver-centric cockpits; Mercedes-Benz stands as the global gold standard for “The Best or Nothing,” focusing on opulent comfort, stately road presence, and pioneering safety; Audi bridges the gap with its “Vo sprung Durch Technik” (Progress through Technology) mantra, delivering minimalist, high-tech interiors and the legendary Quattro all-wheel-drive system; and Jaguar provides a soulful, British alternative, blending “Grace, Space, and Pace” with a commitment to striking design and a recent, aggressive pivot toward a fully electric, ultra-luxury future.
OBJECTIVE – To Compare 4 luxury car brand by the way of One Way ANOVA.
LITERATURE REVIEW
Luxury Drives Discomfort
People are expected to be more concerned about others facing hardship than those enjoying luxury, based on Tri-Reference Point theory (Hu et al., 2025).However, the study finds individuals feel more discomfort toward peers with luxury due to stronger social comparison and relative deprivation (Hu et al., 2025).This reverses typical concern patterns, showing people focus more on others’ achievements than unmet basic needs in competitive contexts (Hu et al., 2025).
Emotions Drive Engagement
This study examines how social media content and emotions influence user engagement with luxury car brands on X (Thongmak, 2025). It finds that specific content topics, hashtags, and emotional elements (including emojis) significantly increase likes and retweets (Thongmak, 2025). The results highlight that tailored content strategies and emotional appeal are key drivers of higher brand engagement (Thongmak, 2025).
DATA COLLECTION
Students of our Batch were requested to grade the following LUXURY CAR Companies: BMW, Mercedes-Benz, Audi, and Jaguar on a scale of 1-10. The Google Form was circulated in class, and a one-way ANOVA was calculated.
DATA ANALYSIS
H0:bmw=Mercedes-Benzes=Audi=Jaguar
H1:Any one of them is different
Mean Square Between (MS): 2.988, Mean Square Within (MS): 2.070, P-value: 0.234,(df): (3, 112) (Between Groups, Within Groups), (F crit): 2.686
Conclusion
The p-value of 0.234 is greater than the significance level of 0.05; which means all brands are the same
REFERENCE
Hu, X., Liu, J., Sun, F., & Wang, X. (2025. published in Behavioural Sciences, 15(10), Article 1395. MDPI.
Thongmak, M. (2025). published in Social Sciences & Humanities Open, 11, 101704. Elsevier.