A Comparative Statistical Analysis of Seasonal Preferences
Author: Shruti Rajendra Patil.
Introduction:
Summer, Monsoon, Winter, and Autumn represent the four major seasons experienced in many regions. Each season has distinct characteristics that influence people’s preferences, lifestyle, and overall satisfaction. Summer is typically associated with high temperatures, while Monsoon brings rainfall and cooling effects. Winter is known for its cold climate, and Autumn represents a transitional phase with moderate conditions.
Objective:
To analyze the preferences across different seasons using One-Way ANOVA in order to determine whether significant differences exist among them.
Literature Review:
1. Sharma, R., & Verma, P. (2022) studied seasonal preferences and found that climate conditions significantly influence human comfort and satisfaction levels.
2. Patel, S., & Mehta, K. (2020) analyzed behavioral patterns across seasons and concluded that temperature and environmental factors impact people’s choices and moods.
Data Collection:
The data for this study was collected using primary research methods through a structured survey. A total of 40 responses were recorded. Participants were asked to rate different seasons—Summer, Monsoon, Winter, and Autumn—based on their personal preference and comfort level. The collected data was analyzed using One-Way ANOVA.
Data Analysis:
Anova: Single Factor
SUMMARY
Groups
Count
Sum
Average
Variance
Summer
40
172
4.3
9.189744
Monsoon
40
286
7.15
4.541026
Winter
40
373
9.325
1.660897
Autumn
40
329
8.225
4.537821
ANOVA
Source of Variation
SS
df
MS
F
P-value
F crit
Between Groups
558.75
3
186.25
37.38179
2.92E-18
2.662569
Within Groups
777.25
156
4.982372
Total
1336
159
Hypothesis:
H0: Summer = Monsoon = Winter = Autumn
H1: At least one season is different
Conclusion:
Since the calculated F value (37.3818) is greater than F critical (2.6626), we reject the null hypothesis (H0). This means that there is a significant difference in preferences among the seasons. Among all, Winter has the highest average preference, indicating it is the most preferred season.
References:
Sharma, R., & Verma, P. (2022). Seasonal preference and human comfort analysis.
Patel, S., & Mehta, K. (2020). Impact of environmental factors on human behavior.