G20: Estimate the number of laughing emojis used in chats in BIT Mesra in any 1 hour?

G20: Estimate the number of laughing emojis used in chats in BIT Mesra in any 1 hour?

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Clarifying Questions

  1. Is the estimate based on all age groups within the university?
    • Yes, consider all age groups within BIT Mesra, from young students to older faculty members, while recognizing the variation in social media usage and emoji usage across these groups.
  2. Are all types of laughing emojis included in the estimate?
    • No, the focus is specifically on the "Tears of Joy" emoji, which is the most commonly used laughing emoji. Reactions and other variations are excluded.
  3. Does the estimate consider variations in social media activity during different times of the day?
    • Yes, the estimate is based on a specific time period, Friday 10-11 PM, which is assumed to be a peak time for social media activity.
  4. Should we assume that everyone in BIT Mesra uses smartphones and social media?
    • No, we account for differences in smartphone ownership and social media usage, as not all students and faculty members may be active on these platforms.

The Population Segmentation Approach

This top-down approach starts with the total population of BIT Mesra and narrows the estimate by considering various factors such as age, smartphone ownership, internet penetration, and social media usage. The estimate is further refined by analyzing the behavior of different demographic segments, particularly their use of laughing emojis during chats.
This process is detailed, and the final calculations can be reviewed for a comprehensive understanding. Let's explore the methodology.

Initial Approach

The initial approach is systematic and logical. We begin with the total population of BIT Mesra and segment it by age groups. For each group, we consider the percentage of individuals who own smartphones, have internet access, are active during the specified hour, and use social media. We then estimate the proportion of these users who use laughing emojis in their chats and how frequently they do so.

Breakdown of the Approach

1. Population Segmentation:
  • Age-Based Division: BIT Mesra has a population of approximately 7,000 individuals. This population is segmented into four age groups: 10-15, 15-25, 25-40, and 40+. The majority of the population falls within the 15-25 age group, which is highly active on social media.
2. Smartphone Ownership and Internet Penetration:
  • We account for the fact that not everyone owns a smartphone or has internet access. For each age group, we estimate the percentage of individuals with smartphones and the percentage with active internet connections.
3. Social Media Activity:
  • Since the estimate focuses on a specific time, we consider the proportion of individuals who are likely to be active on social media platforms like WhatsApp and Instagram during Friday 10-11 PM. This period is assumed to be a peak time for social interaction.
4. Emoji Usage Behavior:
  • We then estimate the percentage of active users in each age group who use emojis while chatting, specifically the "Tears of Joy" laughing emoji. The frequency of usage is also estimated, with younger users generally using emojis more frequently than older users.
5. Final Estimate:
  • By aggregating the estimated number of laughing emojis used by each demographic segment, we arrive at a total estimate of approximately 9,689 laughing emojis used in chats at BIT Mesra during the specified hour.

Solution Excel Sheet