Introduction:
The automobile industry has witnessed rapid diversification with the availability of multiple vehicle types catering to different consumer needs. Sedan cars, Electric cars, Camper vans, and SUV cars represent distinct segments in terms of utility, technology, cost, and lifestyle appeal. Understanding consumer preferences among these categories is important for manufacturers and marketers to align products with customer expectations. This study applies statistical analysis to evaluate whether consumers perceive significant differences among these car types based on preference ratings.
Objective:
To analyze and compare consumer preference ratings for selected types of cars using one-way ANOVA.
Literature Review:
Kotler and Keller (2016) highlighted that consumer preferences in the automobile sector are influenced by factors such as brand image, fuel efficiency, price, and technological advancement. Studies on electric vehicles suggest that environmental awareness and operating cost significantly impact adoption decisions (Rezvani et al., 2015). Research by J.D. Power (2022) indicates that comfort, safety, and perceived value strongly affect consumer ratings across car segments. Overall, existing literature emphasizes the importance of understanding comparative consumer perceptions to support strategic decision-making in the automotive industry.
Data Collection:
Primary data was collected using a structured Google Form questionnaire. Respondents were asked to rate Sedan cars, Electric cars, Camper vans, and SUV cars on a scale of 1 to 10 based on their preference. A total of 40 respondents participated in the survey. The collected responses were downloaded as an Excel sheet and used for statistical analysis.
Data Analysis:
The data was analyzed using One-Way ANOVA (Single Factor) to test whether there is a statistically significant difference in mean preference ratings among the four types of cars.
H0: Mean preference ratings of all car types are equal.
H1: At least one car type has a different mean preference rating.
Based on the ANOVA results obtained from Excel, the calculated p-value is 0.9766, which is greater than the significance level of 0.05. Therefore, the null hypothesis is accepted.
Conclusion:
The ANOVA analysis indicates that there is no statistically significant difference in consumer preference ratings among Sedan cars, Electric cars, Camper vans, and SUV cars. This suggests that respondents perceive these car types similarly in terms of overall preference. The findings imply that consumer choice may depend more on individual needs or situational factors rather than strong preference for a specific car category.
References:
Kotler, P., & Keller, K. L. (2016). Marketing Management. Pearson Education.
Rezvani, Z., Jansson, J., & Bodin, J. (2015). Advances in consumer electric vehicle adoption research. Transportation Research Part D.
J.D. Power (2022). U.S. Vehicle Dependability Stud