A Comparative Study on Actors Apps Using ANNOVA
Author:- Tanishka Gawade
Introduction
The Indian film industry, popularly known as Bollywood, is one of the largest global cinematic hubs, characterized by a unique “star system” where actors are not merely entertainers but cultural icons and influential brand ambassadors (Mukherjee, 2009). The popularity of these celebrities transcends the screen, impacting consumer behavior, fashion trends, and social aspirations. Understanding the variance in public perception among top-tier stars provides valuable insights for filmmakers, marketers, and researchers interested in the dynamics of celebrity influence in India.
Objective Of Study
The primary objective of this study is to statistically evaluate and compare the popularity ratings of five iconic Bollywood actors—Shah Rukh Khan, Kajol, Salman Khan, Rani Mukherjee, and Aamir Khan. The study aims to determine if there is a significant difference in how these actors are perceived by the general public based on a standardized 1–10 rating scale.
Literature Review 1
Celebrity endorsement is a cornerstone of marketing strategy in India, often used to give a brand a competitive edge and build consumer trust. Research by Mukherjee (2009) indicates that the success of a brand is frequently tied to the persona of its endorser. For instance, Shah Rukh Khan’s long-standing association with Hyundai Santro is cited as a benchmark for successful celebrity-brand synergy, where the actor’s globalized “uncompromising Indianness” transfers a sense of reliability and aspiration to the product (Mukherjee, 2009). These endorsements create a “magnetic pull” on customers, fostering positive attitudes toward the brands the celebrities represent.
Literature Review 2
n the Indian context, celebrities are often treated as opinion leaders whose influence is deeply rooted in cultural and emotional connections. According to Patra (2017), Bollywood stars consistently generate higher brand recall and preference compared to other public figures, such as cricketers, among both male and female demographics. This is often driven by “parasocial relationships”—one-sided emotional bonds where fans feel a personal connection to their favorite stars (Singal & Singla, 2025). Furthermore, fans often engage in “attunement,” where they seek to internalize the lifestyle and values of stars like Salman Khan through the consumption of endorsed products and fashion choices (Kuldova, 2010).
Data Collection
The study utilized a primary data collection method through a quantitative survey.
· Sample Size: 40 respondents.
· Measurement Scale: Respondents were asked to rate five actors (Shah Rukh Khan, Kajol, Salman Khan, Rani Mukherjee, and Aamir Khan) on a Likert-type scale ranging from 1 to 10.
· Tool: The data was compiled into a spreadsheet and analyzed using Single-Factor Analysis of Variance (ANOVA).
|
ANOVA |
||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
189.595 |
4 |
47.39875 |
7.479017 |
1.26E-05 |
2.417963 |
|
Within Groups |
1235.825 |
195 |
6.337564 |
|||
|
Total |
1425.42 |
199 |
|
|
|
|
6. Hypothesis
To determine the significance of the ratings, the following hypotheses were tested:
· Null Hypothesis ($H_0$): There is no significant difference in the mean popularity ratings among the five actors.
· Alternative Hypothesis ($H_a$): There is a significant difference in the mean popularity ratings of at least one actor.
Conclusion
The study concludes that there is a statistically significant difference in the popularity ratings among the five Bollywood actors. In this specific sample, Rani Mukherjee emerged with the highest average rating (7.23), followed by Aamir Khan (6.58) and Shah Rukh Khan (6.55). While all actors maintained moderate to high averages, the variance suggests that Rani Mukherjee’s appeal was notably more consistent and higher among the 40 respondents compared to her peers. These findings highlight that even among legends of the 90s era, public perception remains dynamic and variable.
Reference
The study is based on primary data collected through a self‑designed questionnaire.