{"id":25385,"date":"2026-04-05T12:50:50","date_gmt":"2026-04-05T07:20:50","guid":{"rendered":"https:\/\/www.sachdevajk.in\/?p=25385"},"modified":"2026-04-05T12:50:50","modified_gmt":"2026-04-05T07:20:50","slug":"a-comparative-statistical-analysis-of-fast-food-brands","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=25385","title":{"rendered":"A Comparative Statistical Analysis of Fast-Food Brands"},"content":{"rendered":"
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Author:<\/span>\u00a0Rushikesh S<\/span>anjay<\/span>\u00a0Dhumal (60)<\/span><\/span>\u00a0<\/span><\/p>\n<\/div>\n

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Introduction<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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The fast-food industry has grown significantly in recent years, especially among young consumers. Brands compete not only on taste but also on pricing, service quality, brand image, and overall customer experience. With the rise of food delivery apps and digital marketing, customer\u00a0<\/span>perception<\/span>\u00a0plays a crucial role in\u00a0<\/span>determining<\/span>\u00a0brand success.<\/span><\/span>\u00a0<\/span><\/p>\n<\/div>\n

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This study focuses on\u00a0<\/span>analyzing<\/span>\u00a0the perceived popularity and performance of selected fast-food brands based on customer ratings.<\/span><\/span>\u00a0<\/span><\/p>\n<\/div>\n

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\u00a0<\/span><\/p>\n<\/div>\n

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Objective<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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To\u00a0<\/span>analyze<\/span>\u00a0the ratings of selected fast-food brands using\u00a0<\/span><\/span>one-way ANOVA<\/span>\u00a0and\u00a0<\/span>determine<\/span>\u00a0whether there is a statistically significant difference in their popularity levels.<\/span><\/span>\u00a0<\/span><\/p>\n<\/div>\n

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\u00a0<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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Literature Review<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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1. Consumer Preference in Fast Food<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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Gupta (2021) highlights that factors such as taste, affordability, and service speed significantly influence consumer preferences in the fast-food industry.<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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2. Use of Statistical Tools in Market Analysis<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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Kumar and Mehta (2022) suggest that ANOVA is an effective statistical method to compare customer satisfaction levels across\u00a0<\/span>different brands<\/span>\u00a0and\u00a0<\/span>identify<\/span>\u00a0significant differences.<\/span><\/span>\u00a0<\/span><\/p>\n<\/div>\n

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\u00a0<\/span><\/p>\n<\/div>\n

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\u00a0Data Collection<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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    Method: Primary data (Google Forms survey)\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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      Sample Size: 30 respondents\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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        Scale: 1 to 10 rating\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n

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          Criteria:\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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            Taste\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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              Price\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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                Service quality\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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                  Brand image\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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                  Brands\u00a0<\/span>analyzed<\/span>:<\/span><\/span>\u00a0<\/span><\/p>\n<\/div>\n

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                    McDonald’s\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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                      Domino\u2019s\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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                        KFC\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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                          Burger King\u00a0<\/span>\u00a0<\/span><\/p>\n<\/li>\n<\/ul>\n<\/div>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n

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                          Data Analysis (One-Way ANOVA)<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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                          \u00a0Summary Table<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n

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                          \u00a0<\/div>\n\n\n\n\n\n\n\n
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                          Brand<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          Count<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          Sum<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          Average<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          Variance<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

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                          McDonald’s<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          30<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          210<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          7.00<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          6.50<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

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                          Domino\u2019s<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          30<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          198<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          6.60<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          7.10<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

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                          KFC<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          30<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          204<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          6.80<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          6.90<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

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                          Burger King<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          30<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          192<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          6.40<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          7.80<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n

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                          \u00a0ANOVA Table<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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                          Source of Variation<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          SS<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          df<\/span><\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          MS<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          F<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          P-value<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          F crit<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

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                          Between Groups<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          15.2<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          3<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          5.067<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          0.71<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          0.548<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          2.68<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

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                          Within Groups<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          830.4<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          116<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          7.159<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n

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                          Total<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          845.6<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          119<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

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                          \u00a0<\/span><\/p>\n<\/div>\n

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                          \u00a0Hypothesis Testing<\/span>\u00a0<\/span><\/p>\n<\/div>\n

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