Report: The Comparative Analysis of Bike
Authors Name: Umaid Khan 81
Introduction
This study aims to analysis and compare the ratings of selected bikes are Royal Enfield 350 Battalion, KTM RC 390, Yamaha MT 15, and Bajaj Pulsar NS 200.This bike pays plays a significant role in shaping perceptions of bike based on factors such as look, power, brand, and overall experience. Understanding public preferences helps identify which bike are most favoured and why. The study uses statistical techniques to evaluate whether differences in ratings are significant. A one-way ANOVA method is applied to compare mean ratings across the four cities. The findings can provide insights for tourism development and decision-making.
Objective
To determine whether there is a significant difference among group means using single-factor ANOVA.
Literature Review
Kotler and Keller highlighted that consumer preference for motorcycles is influenced by factors such as brand image, performance, and pricing. They emphasized that young consumers often prefer bikes that reflect lifestyle and status along with functionality.
Schiffman and Kanuk explained that buying behavior in the automobile sector, including bikes, is driven by psychological, social, and economic factors. Their study shows that mileage, design, and peer influence play a key role in purchase decisions.
Data Collection
Data for this study was collected through a structured questionnaire created using Google Forms. The form was distributed online, and responses were gathered from a sample of 30 participants. Respondents were asked to rate each of the four bike based on their personal preferences or experiences. The ratings were recorded on a numerical scale to ensure consistency and ease of analysis. Convenience sampling was used to collect responses within a limited time frame. The collected data was then organized and prepared for statistical analysis using ANOVA.
Data Analysis
Single-factor ANOVA was applied to test the null hypothesis that all group means are equal. The analysis involves calculating:
Between Groups: SS = 26.06667,
Df = 3
MS = 8.688889,
F = 1.016654
P-value = 0.388022
F crit = 2.682809
Within Groups: SS = 991.4
Df = 116
MS = 8.546552
If the P-value is less than 0.05, the null hypothesis is rejected, indicating a significant difference among groups. Otherwise, it is accepted, implying no significant difference.
Conclusion
The ANOVA results indicate whether significant differences exist among the groups. Based on the P-value, the H0: null hypothesis is accepted
H0: Royal Enfield 350 Battalion = KTM RC 390 = Yamaha MT 15 = Bajaj Pulsar NS 200
References
Marketing Management – Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson Education.
Consumer Behavior – Schiffman, L. G., & Kanuk, L. L. (2010). Consumer Behavior (10th ed.). Pearson Education.
