Weighted Averages: Scoring Creators Across Two Tiers Quiz — 5 Free Questions

📖 Read the passage, then answer the questions below

NovaReach, an influencer marketing agency, manages a roster of 200 digital creators, split into two tiers based on audience reach: Emerging and Established. Every creator is scored on a Follower-Engagement Index (FEI), calibrated from 0 to 100. The overall average FEI across all 200 creators is 65. The average FEI of the Emerging creators is 50, while the average FEI of the Established creators is 80.

Separately, the agency also tracks a Brand-Fit Index (BFI), also calibrated from 0 to 100, for every creator, based on how well each creator's content matches partner brands. Among the 200 creators, 80 are enrolled in NovaReach's premium partnership programme; these 80 creators have an average BFI of 70. The remaining 120 creators, who are not enrolled in the premium programme, have an average BFI of 55.

NovaReach is now planning to onboard a fresh batch of 50 new Emerging creators into the roster, who are expected to have an average FEI of 35 once they complete their orientation and begin producing content for partner brands.

Question 1

What is the combined overall average BFI across all 200 creators?

Question 2

What is the ratio of the number of Emerging creators to the number of Established creators?

Question 3

What is the difference between the average BFI of the premium-programme creators and the non-premium creators?

Question 4

What is the total BFI score summed across all 200 creators?

Question 5

What is the overall average FEI across all 200 creators?

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About Weighted Averages: Scoring Creators Across Two Tiers

CLAT's Quantitative Techniques section pairs a short data-rich scenario with several straightforward numeric questions -- here, weighted averages applied to a single invented talent-management roster, so every answer can be worked out from the figures given, without any outside knowledge.

This quiz is built around one agency's roster: creators split into two tiers with separate engagement scores, and a separate split by programme enrolment with its own scores, all fully worked out up front. Every question below is answered using those same figures -- nothing new is introduced question to question.

The twenty-four questions move through the kind of angles CLAT actually tests: individual and combined averages, total-score calculations, ratios between groups, a "what if" onboarding scenario that shifts the averages, and a multi-statement combination question.

Only five of the twenty-four questions are shown on any single attempt, so replaying this quiz brings a genuinely different mix of angles on the same roster rather than the same five memorised by rote.