{"id":23974,"date":"2026-01-18T15:16:15","date_gmt":"2026-01-18T09:46:15","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=23974"},"modified":"2026-01-18T15:16:15","modified_gmt":"2026-01-18T09:46:15","slug":"statistical-comparison-of-four-clothing-brands-using-one-way-anova","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=23974","title":{"rendered":"STATISTICAL COMPARISON OF FOUR CLOTHING BRANDS USING ONE-WAY ANOVA"},"content":{"rendered":"

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>STATISTICAL COMPARISON OF FOUR CLOTHING BRANDS USING ONE-WAY ANOVA<\/b>
\u00a0\u00a0 <\/span>\u00a0<\/span>STUTI BALID<\/b><\/p>\n

1. INTRODUCTION<\/b><\/p>\n

The clothing and fashion industry is one of the most dynamic and competitive consumer markets worldwide. Consumers evaluate clothing brands based on factors such as fabric quality, comfort, durability, design, price, and overall satisfaction. With increasing brand choices available in the market, it becomes important to understand whether consumers perceive significant differences among popular clothing brands.
To analyze whether consumer ratings differ significantly among four selected clothing brands, a One-Way Analysis of Variance (ANOVA)<\/b> test was conducted. This statistical technique helps determine whether observed differences in mean ratings are statistically significant or occur due to random variation.<\/p>\n

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2. OBJECTIVE<\/b><\/p>\n

The objective of this study is to apply One-Way ANOVA<\/b> to compare consumer satisfaction ratings of four different clothing brands and to determine whether there is a statistically significant difference among their mean ratings.<\/p>\n

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3. LITERATURE REVIEW<\/b><\/p>\n

Nie (2019)<\/b>
Nie\u2019s study highlights how external market forces, consumer preferences, and organizational strategies influence performance differences across brands. In the clothing industry, changing fashion trends and consumer expectations significantly affect brand perception and customer ratings.<\/p>\n

Zhang & Chen (2014)<\/b>
This research emphasizes the role of innovation, quality consistency, and effective resource allocation in sustaining competitive advantage. Clothing brands vary in fabric quality, design innovation, pricing strategies, and brand loyalty, which may result in measurable differences in consumer satisfaction.<\/p>\n

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4. DATA COLLECTION<\/b><\/p>\n

Data was collected through consumer surveys evaluating four clothing brands<\/b> (Brand A, Brand B, Brand C, and Brand D). Respondents rated the brands on a 1\u201310 scale<\/b> based on various performance attributes.<\/p>\n

Key details:<\/b><\/p>\n