Om Mane – 021331025635
Introduction
The two-wheeler market plays a crucial role in India’s transportation system, especially for students, working professionals, and middle-income households. Motorcycles are preferred for their affordability, fuel efficiency, ease of maintenance, and suitability for daily commuting. With rising competition, consumers today have multiple bike brands offering different value propositions in terms of mileage, performance, comfort, durability, price, and brand image.
Leading Indian two-wheeler brands such as Hero MotoCorp, Honda Motorcycle & Scooter India, Bajaj Auto, and TVS Motor Company have a strong presence across urban and rural markets. Understanding consumer preference and satisfaction among these brands helps manufacturers and marketers improve product strategy and customer experience.
This study uses single-factor ANOVA to examine whether consumer satisfaction ratings differ significantly among major bike brands.
Objectives of the Study
The objectives of this research are:
Literature Review
Consumer behaviour in the bike market
Previous studies on the two-wheeler industry indicate that consumer purchase decisions are influenced by factors such as mileage, engine performance, maintenance cost, resale value, comfort, and brand trust. Commuter bike buyers prioritize fuel efficiency and reliability, while younger consumers may value style and performance.
Brand image and customer satisfaction
Research suggests that strong brand image and after-sales service significantly affect customer satisfaction in the automobile sector. Brands perceived as reliable and economical tend to enjoy higher loyalty, even if performance differences among competitors are minimal.
Data Collection
The study is based on primary data collected through a structured survey questionnaire.
Sample Details (example – you can adjust):
Variables Studied
Statistical Tool Used
Single-Factor Analysis of Variance (ANOVA) was used to test whether the mean satisfaction ratings of the four bike brands differ significantly. ANOVA compares variation between brand means with variation within brand ratingsto identify statistically meaningful differences.
Hypotheses
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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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1 |
40 |
275 |
6.875 |
9.137820513 |
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1 |
40 |
297 |
7.425 |
7.583974359 |
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6 |
40 |
304 |
7.6 |
5.733333333 |
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6 |
40 |
296 |
7.4 |
9.271794872 |
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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 |
11.75 |
3 |
3.916666667 |
0.493797228 |
0.687099704 |
2.662568549 |
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Within Groups |
1237.35 |
156 |
7.931730769 |
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Total |
1249.1 |
159 |
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Null Hypothesis (H₀)
There is no significant difference in the mean consumer satisfaction ratings of Hero, Honda, Bajaj, and TVS bikes.
Alternative Hypothesis (H₁)
There is a significant difference in the mean consumer satisfaction ratings of at least one bike brand.
ANOVA: Single Factor
Decision Rule
Hypothesis Testing Result (Template Text)
“Since the calculated P-value is greater than 0.05, the null hypothesis is accepted. Therefore, it is concluded that there is no statistically significant difference in consumer satisfaction ratings among Hero, Honda, Bajaj, and TVS bike brands.”
(Change wording if your P-value ≤ 0.05)
Conclusion
The study indicates that although Hero, Honda, Bajaj, and TVS adopt different pricing strategies, product designs, and brand positioning, overall consumer satisfaction levels may not differ significantly. This suggests that consumers perceive these brands as reliable and competitive in terms of mileage, performance, comfort, and value for money.
If a significant difference is observed, it highlights opportunities for specific brands to improve product features, after-sales service, or brand communication to enhance customer satisfaction and market share.
References