A Study on Preferences for Indian Regional Cuisine Among College Students Using ANOVA
Author: Shravani Kulthe
Introduction:
Food is an integral part of Indian culture, with each region offering unique flavors, ingredients, and cooking styles. Preferences for regional cuisine often vary among individuals due to taste, exposure, and personal experiences. Understanding these preferences helps in identifying patterns in food choices and consumer behavior.
This study focuses on analyzing whether there is a significant difference in preferences for different Indian regional cuisines among college students using the statistical technique of ANOVA.
Objective:
To analyze and compare the preferences of college students for different Indian regional cuisines—Maharashtrian, North Indian, South Indian, and Gujarati—using ANOVA in order to determine whether a statistically significant difference exists among these cuisine groups.
Literature Review:
1. Cultural Influence on Food Preferences
Geert Hofstede (1980) explained that cultural values and traditions strongly influence food habits and preferences, leading individuals from different backgrounds to favor specific types of cuisine.
2. Consumer Behavior in Food Choices
According to Philip Kotler (2016), consumer food preferences are shaped by social, cultural, and personal factors, and these preferences vary significantly across different groups, making comparative analysis essential.
Data Collection:
The data for this study was collected through a structured Google Form survey conducted among college students. I collected responses from my college mates to understand their preferences for Indian regional cuisines.
The questionnaire included the following options:
- Maharashtrian cuisine
- North Indian cuisine
- South Indian cuisine
- Gujarati cuisine
A total of 31 responses were collected. The data is primary in nature and reflects the preferences of students.
Data Analysis:
Hypothesis
- H₀: All cuisines are same.
- H₁: Any one of them is different.
ANOVA Table (Single Factor)
|
ANOVA |
||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
131.2903226 |
3 |
43.76344086 |
9.72288581 |
8.59098E-06 |
2.68016757 |
|
Within Groups |
540.1290323 |
120 |
4.501075269 |
|
|
|
|
|
|
|
|
|
|
|
|
Total |
671.4193548 |
123 |
|
|
|
|
Conclusion:
As calculated, F 9.7228 is more than F crit 2.6801, Accept H1, meaning any one of them is different.
References:
Hofstede, G. (1980). Culture’s Consequences. Sage Publications.
Kotler, P., & Keller, K. L. (2016). Marketing Management. Pearson Education.