{"id":23710,"date":"2026-01-07T11:32:36","date_gmt":"2026-01-07T06:02:36","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=23710"},"modified":"2026-01-07T11:32:36","modified_gmt":"2026-01-07T06:02:36","slug":"an-anova-based-comparison-of-consumer-ratings-for-digital-reading-and-computing-devices","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=23710","title":{"rendered":"An ANOVA-Based Comparison of Consumer Ratings for Digital Reading and Computing Devices"},"content":{"rendered":"

Author:<\/strong><\/h2>\n

Jashmin Mohanty<\/p>\n

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Introduction:<\/strong><\/h2>\n

With rapid technological advancement, digital devices such as laptops, smartphones, tablets, and e-readers have become integral to everyday life for work, education, and entertainment. Each device offers different levels of convenience, functionality, and user experience. This study aims to analyze consumer preferences for four commonly used digital devices\u2014Laptop, Smartphone, Tablet, and Kindle<\/strong>\u2014by comparing consumer ratings. Understanding these preferences helps identify significant differences in consumer perception and usage patterns.<\/p>\n

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Objective:<\/strong><\/h2>\n

To compare consumer ratings for selected digital devices using a Single-Factor ANOVA test.<\/p>\n

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Literature Review:<\/strong><\/h2>\n

1) Consumer preferences for digital devices<\/strong><\/h3>\n

Davis (2017) highlighted that consumer choice of digital devices depends on perceived usefulness, ease of use, and task suitability. Previous studies indicate that laptops are generally preferred for productivity, while smartphones dominate daily communication. Tablets and e-readers serve niche purposes, influencing their overall ratings.<\/p>\n

2) Use of ANOVA in technology preference studies<\/strong><\/h3>\n

Malhotra (2019) stated that ANOVA is a widely accepted statistical tool in consumer and technology research for comparing mean responses across multiple alternatives. The literature suggests that significant differences in mean ratings indicate varied consumer expectations and usage behavior across device types.<\/p>\n

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Data Collection:<\/strong><\/h2>\n

Primary data was collected using a structured Google Form questionnaire<\/strong>. Respondents were asked to rate four digital devices\u2014Laptop, Smartphone, Tablet, and Kindle<\/strong>\u2014on a scale of 1 to 10<\/strong> based on their preference or usage satisfaction. A total of 38 respondents<\/strong> participated in the survey. The collected data was analyzed in Microsoft Excel<\/strong> using a Single-Factor ANOVA<\/strong> technique.<\/p>\n

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Data Analysis:<\/strong><\/h2>\n

ANOVA: Single Factor<\/strong><\/h3>\n

Summary Table:<\/strong><\/h4>\n
\n
\n\n\n\n\n\n\n\n\n
Groups<\/th>\nCount<\/th>\nSum<\/th>\nAverage<\/th>\nVariance<\/th>\n<\/tr>\n<\/thead>\n
Laptop<\/td>\n38<\/td>\n176<\/td>\n4.63<\/td>\n1.59<\/td>\n<\/tr>\n
Smartphone<\/td>\n38<\/td>\n162<\/td>\n4.26<\/td>\n1.77<\/td>\n<\/tr>\n
Tablet<\/td>\n38<\/td>\n147<\/td>\n3.87<\/td>\n2.12<\/td>\n<\/tr>\n
Kindle<\/td>\n38<\/td>\n127<\/td>\n3.34<\/td>\n3.91<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

ANOVA Table:<\/strong><\/h4>\n
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\n\n\n\n\n\n\n\n
Source of Variation<\/th>\nSS<\/th>\ndf<\/th>\nMS<\/th>\nF<\/th>\nP-value<\/th>\nF crit<\/th>\n<\/tr>\n<\/thead>\n
Between Groups<\/td>\n34.79<\/td>\n3<\/td>\n11.60<\/td>\n4.94<\/td>\n0.00<\/td>\n2.67<\/td>\n<\/tr>\n
Within Groups<\/td>\n347.11<\/td>\n148<\/td>\n2.35<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
Total<\/td>\n381.89<\/td>\n151<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
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Hypothesis:<\/strong><\/h2>\n