{"id":23790,"date":"2026-01-07T23:19:33","date_gmt":"2026-01-07T17:49:33","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=23790"},"modified":"2026-01-07T23:19:33","modified_gmt":"2026-01-07T17:49:33","slug":"a-comparative-study-on-electric-vehicles-review-analysis-using-anova-single-factor","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=23790","title":{"rendered":"A Comparative Study on Electric Vehicles Review &amp; Analysis Using Anova: single Factor"},"content":{"rendered":"<p style=\"text-align: left\"><span style=\"font-weight: bold;max-width: none;color: #000000;font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen-Sans, Ubuntu, Cantarell, 'Helvetica Neue', sans-serif;font-size: 20px;background-color: #98e2c7\"><u style=\"max-width: none\">Author:- Amansingh Barthwal<\/u><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"text-decoration: underline\"><strong>A Comparative Study on Electric Vehicle Review Using ANOVA<\/strong><\/span><\/p>\n<h2 data-start=\"347\" data-end=\"369\"><span style=\"text-decoration: underline\"><strong data-start=\"350\" data-end=\"369\">Introduction<\/strong><\/span><\/h2>\n<p data-start=\"371\" data-end=\"819\">The electric vehicle (EV) market in India has grown rapidly due to rising fuel costs, environmental concerns, and government incentives. With several EV models available, understanding customer perceptions through ratings is essential for manufacturers, consumers, and policymakers. Statistical tools like <strong data-start=\"677\" data-end=\"709\">Analysis of Variance (ANOVA)<\/strong> help determine whether differences in customer ratings among various EV models are statistically significant.<\/p>\n<p data-start=\"821\" data-end=\"929\">This study applies <strong data-start=\"840\" data-end=\"863\">Single Factor ANOVA<\/strong> to compare customer review ratings of selected electric vehicles.<\/p>\n<h2 data-start=\"936\" data-end=\"969\"><span style=\"text-decoration: underline\"><strong data-start=\"939\" data-end=\"969\">Objectives of the Study<\/strong><\/span><\/h2>\n<ol data-start=\"971\" data-end=\"1264\">\n<li data-start=\"971\" data-end=\"1038\">\n<p data-start=\"974\" data-end=\"1038\">To compare customer ratings of selected electric vehicle models.<\/p>\n<\/li>\n<li data-start=\"1039\" data-end=\"1138\">\n<p data-start=\"1042\" data-end=\"1138\">To examine whether there is a statistically significant difference in average ratings among EVs.<\/p>\n<\/li>\n<li data-start=\"1139\" data-end=\"1191\">\n<p data-start=\"1142\" data-end=\"1191\">To support objective decision-making using ANOVA.<\/p>\n<\/li>\n<li data-start=\"1192\" data-end=\"1264\">\n<p data-start=\"1195\" data-end=\"1264\">To identify which EV models perform better based on customer reviews.<\/p>\n<\/li>\n<\/ol>\n<h2 data-start=\"1271\" data-end=\"1298\"><span style=\"text-decoration: underline\"><strong data-start=\"1274\" data-end=\"1298\">Literature Review<\/strong><\/span><\/h2>\n<p data-start=\"1300\" data-end=\"1482\">Previous studies indicate that customer satisfaction in electric vehicles depends on factors such as performance, battery range, design, charging infrastructure, and cost efficiency.<\/p>\n<ul data-start=\"1484\" data-end=\"1722\">\n<li data-start=\"1484\" data-end=\"1571\">\n<p data-start=\"1486\" data-end=\"1571\">Kumar &amp; Singh (2021) found that consumer ratings significantly influence EV adoption.<\/p>\n<\/li>\n<li data-start=\"1572\" data-end=\"1722\">\n<p data-start=\"1574\" data-end=\"1722\">Sharma et al. (2022) emphasized the use of statistical analysis like ANOVA to evaluate differences in customer perceptions across automobile brands.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1724\" data-end=\"1847\">These studies highlight the importance of quantitative methods in comparing product performance based on consumer feedback.<\/p>\n<p data-start=\"1724\" data-end=\"1847\">\u00a0<\/p>\n<h2 data-start=\"1854\" data-end=\"1879\"><span style=\"text-decoration: underline\"><strong data-start=\"1857\" data-end=\"1879\">Data Collection<\/strong><\/span><\/h2>\n<ul data-start=\"1881\" data-end=\"2230\">\n<li data-start=\"1881\" data-end=\"1966\">\n<p data-start=\"1883\" data-end=\"1966\"><strong data-start=\"1883\" data-end=\"1902\">Source of Data:<\/strong> Primary data collected through an Electric Vehicle Review Form.<\/p>\n<\/li>\n<li data-start=\"1967\" data-end=\"2017\">\n<p data-start=\"1969\" data-end=\"2017\"><strong data-start=\"1969\" data-end=\"1986\">Type of Data:<\/strong> Quantitative customer ratings.<\/p>\n<\/li>\n<li data-start=\"2018\" data-end=\"2108\">\n<p data-start=\"2020\" data-end=\"2038\"><strong data-start=\"2020\" data-end=\"2036\">Sample Size:<\/strong><\/p>\n<ul data-start=\"2041\" data-end=\"2108\">\n<li data-start=\"2041\" data-end=\"2075\">\n<p data-start=\"2043\" data-end=\"2075\">41 responses for each EV model<\/p>\n<\/li>\n<li data-start=\"2078\" data-end=\"2108\">\n<p data-start=\"2080\" data-end=\"2108\">Total observations = <strong data-start=\"2101\" data-end=\"2108\">205<\/strong><\/p>\n<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"2109\" data-end=\"2230\">\n<p data-start=\"2111\" data-end=\"2141\"><strong data-start=\"2111\" data-end=\"2141\">Electric Vehicles Studied:<\/strong><\/p>\n<ul data-start=\"2144\" data-end=\"2230\">\n<li data-start=\"2144\" data-end=\"2159\">\n<p data-start=\"2146\" data-end=\"2159\">TATA Nexon EV<\/p>\n<\/li>\n<li data-start=\"2162\" data-end=\"2175\">\n<p data-start=\"2164\" data-end=\"2175\">MG Comet EV<\/p>\n<\/li>\n<li data-start=\"2178\" data-end=\"2196\">\n<p data-start=\"2180\" data-end=\"2196\">Hyundai Creta EV<\/p>\n<\/li>\n<li data-start=\"2199\" data-end=\"2217\">\n<p data-start=\"2201\" data-end=\"2217\">Mahindra BE-6 EV<\/p>\n<\/li>\n<li data-start=\"2220\" data-end=\"2230\">\n<p data-start=\"2222\" data-end=\"2230\">BYD Seal<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 data-start=\"2237\" data-end=\"2260\"><span style=\"text-decoration: underline\"><strong data-start=\"2240\" data-end=\"2260\">Data Analysis<\/strong><\/span><\/h2>\n<h3 data-start=\"2262\" data-end=\"2302\"><strong data-start=\"2266\" data-end=\"2302\">Descriptive Statistics (Summary)<\/strong><\/h3>\n<div class=\"TyagGW_tableContainer\">\n<div class=\"group TyagGW_tableWrapper flex w-fit flex-col-reverse\">\n<table class=\"w-fit min-w-(--thread-content-width)\" data-start=\"2304\" data-end=\"2542\">\n<thead data-start=\"2304\" data-end=\"2344\">\n<tr data-start=\"2304\" data-end=\"2344\">\n<th data-start=\"2304\" data-end=\"2315\" data-col-size=\"sm\">EV Model<\/th>\n<th data-start=\"2315\" data-end=\"2332\" data-col-size=\"sm\">Average Rating<\/th>\n<th data-start=\"2332\" data-end=\"2344\" data-col-size=\"sm\">Variance<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"2384\" data-end=\"2542\">\n<tr data-start=\"2384\" data-end=\"2415\">\n<td data-start=\"2384\" data-end=\"2400\" data-col-size=\"sm\">TATA Nexon EV<\/td>\n<td data-col-size=\"sm\" data-start=\"2400\" data-end=\"2407\">7.93<\/td>\n<td data-col-size=\"sm\" data-start=\"2407\" data-end=\"2415\">2.32<\/td>\n<\/tr>\n<tr data-start=\"2416\" data-end=\"2445\">\n<td data-start=\"2416\" data-end=\"2430\" data-col-size=\"sm\">MG Comet EV<\/td>\n<td data-col-size=\"sm\" data-start=\"2430\" data-end=\"2437\">4.76<\/td>\n<td data-col-size=\"sm\" data-start=\"2437\" data-end=\"2445\">3.54<\/td>\n<\/tr>\n<tr data-start=\"2446\" data-end=\"2480\">\n<td data-start=\"2446\" data-end=\"2465\" data-col-size=\"sm\">Hyundai Creta EV<\/td>\n<td data-col-size=\"sm\" data-start=\"2465\" data-end=\"2472\">7.88<\/td>\n<td data-col-size=\"sm\" data-start=\"2472\" data-end=\"2480\">1.61<\/td>\n<\/tr>\n<tr data-start=\"2481\" data-end=\"2515\">\n<td data-start=\"2481\" data-end=\"2500\" data-col-size=\"sm\">Mahindra BE-6 EV<\/td>\n<td data-col-size=\"sm\" data-start=\"2500\" data-end=\"2507\">9.32<\/td>\n<td data-col-size=\"sm\" data-start=\"2507\" data-end=\"2515\">2.37<\/td>\n<\/tr>\n<tr data-start=\"2516\" data-end=\"2542\">\n<td data-start=\"2516\" data-end=\"2527\" data-col-size=\"sm\">BYD Seal<\/td>\n<td data-col-size=\"sm\" data-start=\"2527\" data-end=\"2534\">8.02<\/td>\n<td data-col-size=\"sm\" data-start=\"2534\" data-end=\"2542\">1.27<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<p>\u00a0<\/p>\n<p data-start=\"2544\" data-end=\"2636\">Mahindra BE-6 EV shows the <strong data-start=\"2571\" data-end=\"2597\">highest average rating<\/strong>, while MG Comet EV has the <strong data-start=\"2625\" data-end=\"2635\">lowest<\/strong>.<\/p>\n<h2 data-start=\"2643\" data-end=\"2671\"><span style=\"text-decoration: underline\"><strong data-start=\"2646\" data-end=\"2671\">Hypothesis Testing<\/strong><\/span><\/h2>\n<h3 data-start=\"2673\" data-end=\"2702\"><strong data-start=\"2677\" data-end=\"2702\">Null Hypothesis (H\u2080):<\/strong><\/h3>\n<p data-start=\"2703\" data-end=\"2804\">There is <strong data-start=\"2712\" data-end=\"2741\">no significant difference<\/strong> in mean customer ratings among the selected electric vehicles.<\/p>\n<h3 data-start=\"2806\" data-end=\"2842\"><strong data-start=\"2810\" data-end=\"2842\">Alternative Hypothesis (H\u2081):<\/strong><\/h3>\n<p data-start=\"2843\" data-end=\"2943\">There is a <strong data-start=\"2854\" data-end=\"2880\">significant difference<\/strong> in mean customer ratings among the selected electric vehicles.<\/p>\n<p data-start=\"2843\" data-end=\"2943\"><span style=\"text-decoration: underline\"><strong>ANOVA Results<\/strong><\/span><\/p>\n<table class=\"w-fit min-w-(--thread-content-width)\" data-start=\"2975\" data-end=\"3200\">\n<thead data-start=\"2975\" data-end=\"3014\">\n<tr data-start=\"2975\" data-end=\"3014\">\n<th data-start=\"2975\" data-end=\"2984\" data-col-size=\"sm\">Source<\/th>\n<th data-start=\"2984\" data-end=\"2989\" data-col-size=\"sm\">SS<\/th>\n<th data-start=\"2989\" data-end=\"2994\" data-col-size=\"sm\">df<\/th>\n<th data-start=\"2994\" data-end=\"2999\" data-col-size=\"sm\">MS<\/th>\n<th data-start=\"2999\" data-end=\"3003\" data-col-size=\"sm\">F<\/th>\n<th data-start=\"3003\" data-end=\"3014\" data-col-size=\"sm\">P-value<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"3054\" data-end=\"3200\">\n<tr data-start=\"3054\" data-end=\"3125\">\n<td data-start=\"3054\" data-end=\"3071\" data-col-size=\"sm\">Between Groups<\/td>\n<td data-col-size=\"sm\" data-start=\"3071\" data-end=\"3080\">467.34<\/td>\n<td data-col-size=\"sm\" data-start=\"3080\" data-end=\"3084\">4<\/td>\n<td data-col-size=\"sm\" data-start=\"3084\" data-end=\"3093\">116.83<\/td>\n<td data-col-size=\"sm\" data-start=\"3093\" data-end=\"3105\"><strong data-start=\"3095\" data-end=\"3104\">52.56<\/strong><\/td>\n<td data-col-size=\"sm\" data-start=\"3105\" data-end=\"3125\"><strong data-start=\"3107\" data-end=\"3123\">3.29 \u00d7 10\u207b\u00b3\u2070<\/strong><\/td>\n<\/tr>\n<tr data-start=\"3126\" data-end=\"3169\">\n<td data-start=\"3126\" data-end=\"3142\" data-col-size=\"sm\">Within Groups<\/td>\n<td data-col-size=\"sm\" data-start=\"3142\" data-end=\"3151\">444.59<\/td>\n<td data-col-size=\"sm\" data-start=\"3151\" data-end=\"3157\">200<\/td>\n<td data-col-size=\"sm\" data-start=\"3157\" data-end=\"3164\">2.22<\/td>\n<td data-col-size=\"sm\" data-start=\"3164\" data-end=\"3166\">\u00a0<\/td>\n<td data-col-size=\"sm\" data-start=\"3166\" data-end=\"3169\">\u00a0<\/td>\n<\/tr>\n<tr data-start=\"3170\" data-end=\"3200\">\n<td data-start=\"3170\" data-end=\"3178\" data-col-size=\"sm\">\u00a0<\/td>\n<td data-col-size=\"sm\" data-start=\"3178\" data-end=\"3187\">\u00a0<\/td>\n<td data-col-size=\"sm\" data-start=\"3187\" data-end=\"3193\">\u00a0<\/td>\n<td data-col-size=\"sm\" data-start=\"3193\" data-end=\"3195\">\n<p>\u00a0<\/p>\n<table class=\"w-fit min-w-(--thread-content-width) alignleft\" data-start=\"2975\" data-end=\"3200\">\n<tbody data-start=\"3054\" data-end=\"3200\">\n<tr data-start=\"3170\" data-end=\"3200\">\n<td data-start=\"3170\" data-end=\"3178\" data-col-size=\"sm\">Total<\/td>\n<td data-col-size=\"sm\" data-start=\"3178\" data-end=\"3187\">911.92<\/td>\n<td data-col-size=\"sm\" data-start=\"3187\" data-end=\"3193\">204<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 data-start=\"3207\" data-end=\"3230\">\u00a0<\/h2>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 data-start=\"3207\" data-end=\"3230\"><span style=\"text-decoration: underline\"><strong data-start=\"3210\" data-end=\"3230\">Decision Rule<\/strong><\/span><\/h2>\n<p>\u00a0<\/p>\n<ul data-start=\"3232\" data-end=\"3375\">\n<li data-start=\"3232\" data-end=\"3272\">\n<p data-start=\"3234\" data-end=\"3272\"><strong data-start=\"3234\" data-end=\"3263\">Level of Significance (\u03b1)<\/strong> = 0.05<\/p>\n<\/li>\n<li data-start=\"3273\" data-end=\"3300\">\n<p data-start=\"3275\" data-end=\"3300\"><strong data-start=\"3275\" data-end=\"3289\">F Critical<\/strong> = 2.4168<\/p>\n<\/li>\n<li data-start=\"3301\" data-end=\"3375\">\n<p data-start=\"3303\" data-end=\"3328\"><strong data-start=\"3303\" data-end=\"3326\">Decision Criterion:<\/strong><\/p>\n<ul data-start=\"3331\" data-end=\"3375\">\n<li data-start=\"3331\" data-end=\"3375\">\n<p data-start=\"3333\" data-end=\"3375\">Reject H\u2080 if <strong data-start=\"3346\" data-end=\"3375\">F calculated &gt; F critical<\/strong><\/p>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 data-start=\"3382\" data-end=\"3398\"><span style=\"text-decoration: underline\"><strong data-start=\"3385\" data-end=\"3398\">Result<\/strong><\/span><\/h2>\n<p data-start=\"3400\" data-end=\"3406\">Since:<\/p>\n<ul data-start=\"3408\" data-end=\"3494\">\n<li data-start=\"3408\" data-end=\"3458\">\n<p data-start=\"3410\" data-end=\"3458\"><strong data-start=\"3410\" data-end=\"3456\">F calculated (52.56) &gt; F critical (2.4168)<\/strong><\/p>\n<\/li>\n<li data-start=\"3459\" data-end=\"3494\">\n<p data-start=\"3461\" data-end=\"3494\"><strong data-start=\"3461\" data-end=\"3494\">P-value (3.29 \u00d7 10\u207b\u00b3\u2070) &lt; 0.05<\/strong><\/p>\n<\/li>\n<\/ul>\n<p>\u00a0<\/p>\n<p data-start=\"3496\" data-end=\"3535\">\ud83d\udc49 <strong data-start=\"3499\" data-end=\"3535\">The null hypothesis is rejected.<\/strong><\/p>\n<h2 data-start=\"3542\" data-end=\"3567\"><span style=\"text-decoration: underline\"><strong data-start=\"3545\" data-end=\"3567\">Interpretation<\/strong><\/span><\/h2>\n<p data-start=\"3496\" data-end=\"3535\">\u00a0<\/p>\n<p data-start=\"3569\" data-end=\"3813\">The ANOVA results clearly indicate that <strong data-start=\"3609\" data-end=\"3650\">customer ratings differ significantly<\/strong> among the selected electric vehicles. This implies that customers perceive these EV models differently in terms of satisfaction, features, or overall performance.<\/p>\n<h2 data-start=\"3820\" data-end=\"3840\"><span style=\"text-decoration: underline\"><strong data-start=\"3823\" data-end=\"3840\">Inference<\/strong><\/span><\/h2>\n<p data-start=\"3569\" data-end=\"3813\">\u00a0<\/p>\n<ul data-start=\"3842\" data-end=\"4060\">\n<li data-start=\"3842\" data-end=\"3898\">\n<p data-start=\"3844\" data-end=\"3898\">Mahindra BE-6 EV received the highest customer rating.<\/p>\n<\/li>\n<li data-start=\"3899\" data-end=\"3948\">\n<p data-start=\"3901\" data-end=\"3948\">MG Comet EV received the lowest average rating.<\/p>\n<\/li>\n<li data-start=\"3949\" data-end=\"4060\">\n<p data-start=\"3951\" data-end=\"4060\">The variation in ratings is not due to random chance but reflects genuine differences in customer perception.<\/p>\n<\/li>\n<\/ul>\n<h2 data-start=\"4067\" data-end=\"4088\"><span style=\"text-decoration: underline\"><strong data-start=\"4070\" data-end=\"4088\">Conclusion<\/strong><\/span><\/h2>\n<p>\u00a0<\/p>\n<p data-start=\"4090\" data-end=\"4440\">The study concludes that there is a <strong data-start=\"4126\" data-end=\"4166\">statistically significant difference<\/strong> in customer ratings of electric vehicles. Manufacturers can use these insights to improve product design and service quality, while consumers can rely on ratings for informed decision-making. ANOVA proves to be an effective tool in comparing multiple EV models objectively.<\/p>\n<h2 data-start=\"4447\" data-end=\"4468\"><span style=\"text-decoration: underline\"><strong data-start=\"4450\" data-end=\"4468\">References<\/strong><\/span><\/h2>\n<p data-start=\"4090\" data-end=\"4440\">\u00a0<\/p>\n<ol data-start=\"4470\" data-end=\"4773\">\n<li data-start=\"4470\" data-end=\"4608\">\n<p data-start=\"4473\" data-end=\"4608\">Kumar, R., &amp; Singh, A. (2021). <em data-start=\"4504\" data-end=\"4568\">Consumer perception and adoption of electric vehicles in India<\/em>. Journal of Sustainable Transportation.<\/p>\n<\/li>\n<li data-start=\"4609\" data-end=\"4773\">\n<p data-start=\"4612\" data-end=\"4773\">Sharma, P., Mehta, R., &amp; Joshi, K. (2022). <em data-start=\"4655\" data-end=\"4727\">Statistical analysis of customer satisfaction in the automobile sector<\/em>. International Journal of Business Analytics.<\/p>\n<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Author:- Amansingh Barthwal A Comparative Study on Electric Vehicle Review Using ANOVA Introduction The electric vehicle (EV) market in India has grown rapidly due to rising fuel costs, environmental concerns, and government incentives. With several EV models available, understanding customer perceptions through ratings is essential for manufacturers, consumers, and policymakers. Statistical tools like Analysis of&hellip; <a class=\"more-link\" href=\"http:\/\/www.sachdevajk.in\/?p=23790\">Continue reading <span class=\"screen-reader-text\">A Comparative Study on Electric Vehicles Review &amp; Analysis Using Anova: single Factor<\/span><\/a><\/p>\n","protected":false},"author":139889,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-23790","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\/23790","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\/139889"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=23790"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/23790\/revisions"}],"predecessor-version":[{"id":23791,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/23790\/revisions\/23791"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=23790"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=23790"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=23790"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}