A Statistical Analysis of Entertainment Consumption Behavior on OTT Platforms
Author: Bharati Dhanraj Malunjkar
Introduction:
With the increasing penetration of the internet and smartphones, OTT (Over-The-Top) platforms such as YouTube, Netflix, and other entertainment applications have become an integral part of daily life. These platforms provide on-demand content, allowing users to consume entertainment anytime and anywhere.
The shift from traditional media to digital platforms has significantly influenced user behavior, engagement levels, and satisfaction. This study aims to understand how users interact with OTT platforms and how different factors such as enjoyment, usage frequency, engagement, satisfaction, and stress relief contribute to their overall experience.
Objective:
To analyze user responses related to OTT platform usage and determine whether there is a significant difference among various factors influencing entertainment consumption using One-Way ANOVA.
Literature Review:
Digital Entertainment and User Engagement:
OTT platforms have revolutionized content consumption by offering personalized and easily accessible entertainment.
User Satisfaction and Content Quality:
Content quality, variety, and user interface play a major role in determining user satisfaction.
Data Collection:
The data for this study was collected using a structured questionnaire through Google Forms. Approximately 29–30 responses were gathered.
Participants rated enjoyment, usage frequency, engagement, satisfaction, and stress relief. One-Way ANOVA was applied for analysis.
Data Analysis (ANOVA: Single Factor)
SUMMARY
|
Groups |
Count |
Sum |
Average |
Variance |
|
Enjoyment of OTT content |
29 |
115 |
3.965517241 |
1.391625616 |
|
Usage frequency |
29 |
114 |
3.931034483 |
1.137931034 |
|
Short-form engagement |
30 |
125 |
4.166666667 |
1.454022989 |
|
Content satisfaction |
30 |
115 |
3.833333333 |
0.902298851 |
|
Stress relief |
30 |
121 |
4.033333333 |
1.274712644 |
ANOVA
|
Source |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
1.845386766 |
4 |
0.461346692 |
0.374572651 |
0.82648671 |
2.43494689 |
|
Within Groups |
176.1275862 |
143 |
1.231661442 |
|
|
|
|
Total |
177.972973 |
147 |
|
|
|
|
Hypothesis:
H0: No significant difference among factors.
H1: Significant difference exists.
Conclusion:
Since F (0.374572651) < F crit (2.43494689) and p-value (0.82648671) > 0.05, we accept H0.
There is no significant difference among the factors, indicating all variables equally influence OTT entertainment behavior.
References:
Smith, J. (2020). Digital Media Consumption and User Engagement.
Kumar, R., & Sharma, P. (2022). Impact of OTT Platforms on Consumer Satisfaction.
Primary data collected through Google Forms.