{"id":23734,"date":"2026-01-07T16:56:36","date_gmt":"2026-01-07T11:26:36","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=23734"},"modified":"2026-01-07T16:56:36","modified_gmt":"2026-01-07T11:26:36","slug":"title-a-study-on-types-of-chocolates-and-customer-preferences-name-tanishqa-bajpai-roll-no-021331025609","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=23734","title":{"rendered":"Title: A Study on Types of Chocolates and Customer Preferences (name- tanishqa Bajpai , roll no 021331025609)"},"content":{"rendered":"

Introduction:<\/span><\/span>
<\/span><\/span>Chocolate is one of the most popular confectionery products worldwide, enjoyed for its taste, texture, and emotional appeal. Made primarily from cocoa beans, chocolate has evolved into various types based on differences in cocoa content, milk solids, and processing methods. These variations result in distinct flavors, appearances, and consumer preferences.<\/span><\/span><\/p>\n

Chocolate is commonly classified into four main types: dark chocolate, milk chocolate, white chocolate, and ruby chocolate. Dark chocolate is known for its high cocoa content and rich flavor, milk chocolate is valued for its creamy and sweet taste, white chocolate is made from cocoa butter and milk solids, while ruby chocolate is a recent innovation recognized for its natural pink color and fruity taste. This report aims to study these four types of chocolate and understand their characteristics and consume<\/span><\/span>r appeal.<\/span><\/span><\/p>\n

Objective:<\/span><\/span><\/p>\n

To analyze consumer preferences across different types of Chocolates.<\/span><\/span><\/p>\n

Literature Review:<\/span><\/span><\/p>\n

The research conducted by K.\u00a0<\/span><\/span>Mahalakshmi<\/span><\/span>\u00a0and colleagues explores consumer preferences for chocolates among residents of Coimbatore City. The study highlights that chocolate consumption is influenced by factors such as price, quality, taste, and brand image, reflecting typical determinants of purchase decisions in the confectionery market. It also emphasizes the competitive nature of the chocolate industry and the dynamic shifts in consumer attitudes as preferences evolve over time. According to the findings, brands that offer desirable<\/span><\/span>\u00a0taste profiles, perceived quality, and reasonable pricing are more likely to attract consumer preference. Additionally, the study examines demographic patterns among chocolate consumers, noting that younger age groups and female respondents showed higher chocolate consumption. These insights support broader literature on consumer\u00a0<\/span><\/span>behavior<\/span><\/span>\u00a0that suggests preference patterns are shaped not only by product attributes but also by cultural and market trends specific to regional contexts.<\/span><\/span><\/p>\n

The article published in\u00a0<\/span><\/span>Revista<\/span><\/span>\u00a0<\/span><\/span>Rom\u00e2n\u0103<\/span><\/span>\u00a0de\u00a0<\/span><\/span>Statistic\u0103<\/span><\/span>\u00a0\u2013\u00a0<\/span><\/span>Supliment<\/span><\/span>\u00a0<\/span><\/span>nr<\/span><\/span>. 11\/2022 presents original statistical research that applies advanced econometric\u00a0<\/span><\/span>modeling<\/span><\/span>\u00a0techniques to practical economic questions. The study emphasizes the development and use of a layered, generic, and\u00a0<\/span><\/span>factorially<\/span><\/span>individualized econometric modelling approach to understand complex relationships within datasets, such as those involving key success criteria and critical success factors in project management. This method allows researchers to build descriptive a<\/span><\/span>nd predictive models that account for variations in endogenous and exogenous variables, improving explanatory power compared to simpler\u00a0<\/span><\/span>unifactorial<\/span><\/span>\u00a0models. The analysis also demonstrates the potential of this structured statistical framework to interpret expert opinion data, test hypotheses, and explore multifactor associations in socio-economic contexts. Such methodological innovation highlights the importance of advanced statistical techniques in evaluating phenomena where traditional approaches may be l<\/span><\/span>imited, contributing to the literature on applied statistics and econometric\u00a0<\/span><\/span>modeling<\/span><\/span>.<\/span><\/span><\/p>\n

Data Collection:<\/span><\/span><\/p>\n

To understand customer preferences for Chocolates, four statements were designed using a\u00a0<\/span><\/span>Likest<\/span><\/span>\u00a0scale. A Google Form with a linear rating scale from 1 to 10 was created, and respondents were asked to rate their preferences. 45 students of Operations in ITM University were surveyed and data was downloaded as Excel Sheet.\u00a0<\/span><\/span>Anova<\/span><\/span>\u00a0(Single factor) is calculated.<\/span><\/span><\/p>\n

Data Analysis:<\/span><\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n
\n

Anova<\/span>: Single Factor<\/span><\/p>\n<\/div>\n<\/td>\n

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\n

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

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\n

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

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

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

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\n

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

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

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\n

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

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\n

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

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

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

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

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\n

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

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

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

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\n

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

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\n

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

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\n

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

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\n

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

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\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

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\n

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

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\n

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

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\n

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

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\n

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

\n
\n

Dark Chocolate<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

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

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

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

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

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\n

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

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\n

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

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\n

Milk Chocolate<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

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

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

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

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

\n
\n

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

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\n

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

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White Chocolate<\/span><\/p>\n<\/div>\n<\/td>\n

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

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

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

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

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\n

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

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

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Ruby Chocolate<\/span><\/p>\n<\/div>\n<\/td>\n

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

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

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

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

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\n

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

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\n

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

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\n

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

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\n

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

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\n

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

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

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

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

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\n

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

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\n

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

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\n

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

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

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

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

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

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\n

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

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

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\n

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

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\n

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

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\n

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

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\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

1379.02<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

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\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

1396.55<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

\n
\n

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

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

H0: All are same\u00a0<\/span><\/span><\/p>\n

H1: Any one of this is different\u00a0<\/span><\/span><\/p>\n

We observe p value, as p value is greater than 0.05 accept null hypothesis (H0) meaning all are same.<\/span><\/span><\/p>\n

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

Conclusion:\u00a0<\/span><\/span><\/p>\n

From data analysis it is conclude that all are same.<\/span><\/span><\/p>\n

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

Reference:<\/span><\/span><\/p>\n

Mahalakshmi<\/span><\/span>, K., Grace, M. P.,\u00a0<\/span><\/span>Poornima<\/span><\/span>, B., &\u00a0<\/span><\/span>Kritikaa<\/span><\/span>, S. R. (2023). A study on customer preference towards chocolates in Coimbatore City. Journal of the Oriental Institute, 72(1), 162\u2013169. Retrieved from\u00a0<\/span><\/span>https:\/\/www.researchgate.net\/publication\/377934232_A_STUDY_ON_CUSTOMER_PREFERENCE_TOWARDS_CHOCOLATES_IN_COIMBATORE_CITY<\/span><\/span><\/a><\/p>\n

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

Author(s). (2022). Title of the article.\u00a0<\/span><\/span>Revista<\/span><\/span>\u00a0<\/span><\/span>Rom\u00e2n\u0103<\/span><\/span>\u00a0de\u00a0<\/span><\/span>Statistic\u0103<\/span><\/span>\u00a0\u2013\u00a0<\/span><\/span>Supliment<\/span><\/span>\u00a0<\/span><\/span>nr<\/span><\/span>. 11\/2022, pages xx\u2013xx. Retrieved from http:\/\/www.revistadestatistica.ro\/supliment\/wp-content\/uploads\/2023\/03\/3_11_2022_en.pdf<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Introduction:Chocolate is one of the most popular confectionery products worldwide, enjoyed for its taste, texture, and emotional appeal. Made primarily from cocoa beans, chocolate has evolved into various types based on differences in cocoa content, milk solids, and processing methods. These variations result in distinct flavors, appearances, and consumer preferences. Chocolate is commonly classified into… Continue reading Title: A Study on Types of Chocolates and Customer Preferences (name- tanishqa Bajpai , roll no 021331025609)<\/span><\/a><\/p>\n","protected":false},"author":139926,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-23734","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\/23734","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\/139926"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=23734"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/23734\/revisions"}],"predecessor-version":[{"id":23735,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/23734\/revisions\/23735"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=23734"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=23734"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=23734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}