{"id":25156,"date":"2026-03-28T20:43:57","date_gmt":"2026-03-28T15:13:57","guid":{"rendered":"https:\/\/www.sachdevajk.in\/?p=25156"},"modified":"2026-03-28T20:43:57","modified_gmt":"2026-03-28T15:13:57","slug":"one-way-anova-calculation-of-4-luxury-car-brands","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=25156","title":{"rendered":"One-Way ANOVA, Calculation of 4 Luxury Car Brands"},"content":{"rendered":"<p class=\"MsoNormal\"><b><span style=\"font-size: 18.0pt;line-height: 107%\">Title &#8211;<\/span><\/b><span style=\"font-size: 18.0pt;line-height: 107%;font-family: 'Times New Roman',serif\"> <b>One-Way ANOVA, Calculation of 4 Luxury Car Brands <\/b><\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 18.0pt;line-height: 107%\">Author-PRATHAM KADAM (72)<\/span><\/b><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 18.0pt;line-height: 107%\">INTRODUCTION<\/span><\/b><b> <\/b><\/p>\n<p class=\"MsoNormal\"><span style=\"font-size: 12.0pt;line-height: 107%\">The luxury automotive landscape is defined by a quartet of icons, each offering a distinct philosophy: BMW remains the &#8220;Ultimate Driving Machine,&#8221; prioritizing athletic handling and driver-centric cockpits; Mercedes-Benz stands as the global gold standard for &#8220;The Best or Nothing,&#8221; focusing on opulent comfort, stately road presence, and pioneering safety; Audi bridges the gap with its &#8220;Vo sprung Durch Technik&#8221; (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 &#8220;Grace, Space, and Pace&#8221; with a commitment to striking design and a recent, aggressive pivot toward a fully electric, ultra-luxury future.<\/span><\/p>\n<p class=\"MsoNormal\"><span style=\"font-size: 12.0pt;line-height: 107%\">\u00a0<\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 18.0pt;line-height: 107%\">OBJECTIVE <\/span>\u2013<\/b><span style=\"font-size: 12.0pt;line-height: 107%;font-family: 'Times New Roman',serif\"> To Compare 4 luxury car brand by the way of One Way ANOVA.<\/span><\/p>\n<p class=\"MsoNormal\"><span style=\"font-size: 12.0pt;line-height: 107%;font-family: 'Times New Roman',serif\">\u00a0<\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 18.0pt;line-height: 107%\">LITERATURE REVIEW <\/span><\/b><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 12.0pt;line-height: 107%\">Luxury Drives Discomfort<\/span><\/b><\/p>\n<p class=\"MsoNormal\"><span style=\"font-size: 12.0pt;line-height: 107%\">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\u2019 achievements than unmet basic needs in competitive contexts (Hu et al., 2025).<\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 12.0pt;line-height: 107%\">Emotions Drive Engagement<\/span><\/b><\/p>\n<p class=\"MsoNormal\"><span style=\"font-size: 12.0pt;line-height: 107%\">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).<\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 18.0pt;line-height: 107%\">DATA COLLECTION <\/span><\/b><\/p>\n<p class=\"MsoNormal\">Students of our Batch were requested to grade the following LUXURY CAR Companies: <span>\u00a0\u00a0<\/span>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.<\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 20.0pt;line-height: 107%\">DATA ANALYSIS<\/span><\/b><\/p>\n<p class=\"MsoNormal\">H0:bmw=Mercedes-Benzes=Audi=Jaguar<\/p>\n<p class=\"MsoNormal\">H1:Any one of them is different<\/p>\n<p class=\"MsoNormal\">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<\/p>\n<p class=\"MsoNormal\">\u00a0<\/p>\n<p class=\"MsoNormal\"><span><!-- [if gte vml 1]&gt;--><\/p>\n<p><!-- [if !vml]--><img loading=\"lazy\" decoding=\"async\" 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\" width=\"513\" height=\"119\" \/><!--[endif]--><\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 20.0pt;line-height: 107%\">Conclusion <\/span><\/b><\/p>\n<p class=\"MsoNormal\"><span>\u00a0<\/span><span style=\"font-size: 12.0pt;line-height: 107%\">The p-value of <b>0.234<\/b> is greater than the significance level of <b>0.05<\/b>; which means all brands are the same<\/span><\/p>\n<p class=\"MsoNormal\"><b><span style=\"font-size: 20.0pt;line-height: 107%\">REFERENCE <\/span><\/b><\/p>\n<p class=\"MsoNormal\">Hu, X., Liu, J., Sun, F., &amp; Wang, X. (2025. published in Behavioural Sciences, 15(10), Article 1395. MDPI.<\/p>\n<p class=\"MsoNormal\">Thongmak, M. (2025). published in Social Sciences &amp; Humanities Open, 11, 101704. Elsevier.<\/p>\n<p class=\"MsoNormal\">\u00a0<\/p>\n<p class=\"MsoNormal\">\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Title &#8211; 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 &#8220;Ultimate Driving Machine,&#8221; prioritizing athletic handling and driver-centric cockpits; Mercedes-Benz stands as the global gold standard for &#8220;The Best or Nothing,&#8221; focusing&hellip; <a class=\"more-link\" href=\"http:\/\/www.sachdevajk.in\/?p=25156\">Continue reading <span class=\"screen-reader-text\">One-Way ANOVA, Calculation of 4 Luxury Car Brands<\/span><\/a><\/p>\n","protected":false},"author":140169,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-25156","post","type-post","status-publish","format-standard","hentry","category-uncategorized","entry"],"_links":{"self":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/users\/140169"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=25156"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25156\/revisions"}],"predecessor-version":[{"id":25157,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25156\/revisions\/25157"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=25156"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=25156"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=25156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}