Title: Consumer Ratings and Insights: A Comparative Analysis of Four Clothing Brands.
Author: Adhyayan Brahmwar.
Introduction: This research conducts a comprehensive analysis of consumer ratings for four prominent Indian clothing brands. Data gathered through a Google Form survey aims to understand consumer preferences, perceptions of quality, style, affordability, and overall satisfaction. Each brand is rated on a scale of 1 to 10, offering valuable insights into their performance in the competitive Indian fashion market.
Objective: To analyse consumer ratings of four Indian clothing brands, gaining insights into brand perception and customer satisfaction.
Data collection: To address the research problem, four clothing brands—Raymond, Blackberrys, Reid & Taylor, and Peter England—were selected for evaluation. A Google Form was created to conduct a survey, and the collected data was analysed using a one-way ANOVA (Analysis of Variance). The F-test and p-value were calculated to determine significant differences between the brands, with a significance level of 5%.
Data analysis:
Hypothesis:
- H0 (Null Hypothesis): There is no significant difference in the consumer ratings among the four clothing brands (Raymond, Blackberrys, Reid & Taylor, and Peter England); all ratings are the same.
- H1 (Alternative Hypothesis): At least one clothing brand’s consumer rating is significantly different from the others.
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Anova: Single Factor |
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SUMMARY |
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Groups |
Count |
Sum |
Average |
Variance |
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Raymond |
34.00 |
284.00 |
8.35 |
2.11 |
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Blackberrys |
34.00 |
271.00 |
7.97 |
3.00 |
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Reid and Taylor |
34.00 |
280.00 |
8.24 |
3.64 |
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Van Heusen |
34.00 |
276.00 |
8.12 |
4.89 |
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Peter England |
34.00 |
271.00 |
7.97 |
4.15 |
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ANOVA |
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Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
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Between Groups |
3.80 |
4.00 |
0.95 |
0.27 |
0.90 |
2.43 |
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Within Groups |
587.35 |
165.00 |
3.56 |
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Total |
591.15 |
169.00 |
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P-value = 0.90
F critical = 2.43
F-value = 0.27
If the F-value is less than the critical value, we accept the null hypothesis. If the F-value is greater than the critical value, we select the alternative hypothesis.
If the P-value is less than the significance level (0.05), we reject the null hypothesis. If the P-value is greater than 0.05, we accept the null hypothesis.
Conclusion:
Since the P-value (0.90) is greater than 0.05 and the F-value (0.27) is less than 2.43, we accept the null hypothesis. This indicates no significant difference in consumer ratings among Raymond, Blackberrys, Reid & Taylor, and Peter England.