Two trained researchers analyzed dietary data over several months. Dr. Lee analyzed 140 records, Dr. Kim analyzed 75% more than Dr. Lee, and Dr. Patel analyzed 20% fewer than Dr. Kim. What is the total number of records analyzed? - Silent Sales Machine
Total Records Analyzed: How Two Researchers and Their Teams Transformed Dietary Data
Total Records Analyzed: How Two Researchers and Their Teams Transformed Dietary Data
Analyzing complex dietary data over several months is a critical endeavor for understanding nutrition trends, public health, and behavioral patterns. In a recent collaborative study, two trained researchers delved into extensive dietary records, combining their expertise to deliver impactful insights. Here’s a detailed breakdown of their individual contributions and the total volume of data analyzed.
Dr. Lee’s Contribution: A Solid Foundation
Dr. Lee examined 140 dietary records, establishing a strong foundational dataset. This baseline analysis provided essential insights and formed the starting point for deeper research.
Understanding the Context
Dr. Kim Analyzes 75% More Than Dr. Lee
Dr. Kim expanded upon Dr. Lee’s work by analyzing 75% more records than Dr. Lee. Calculating this 75% increase:
75% of 140 = 0.75 × 140 = 105
Dr. Kim’s total = 140 + 105 = 245 records
Dr. Patel Analyzes 20% Fewer Than Dr. Kim
Dr. Patel focused on a slightly narrower scope, analyzing 20% fewer records than Dr. Kim:
20% of 245 = 0.20 × 245 = 49
Dr. Patel’s total = 245 – 49 = 196 records
Total Records Analyzed Across All Researchers:
140 (Dr. Lee) + 245 (Dr. Kim) + 196 (Dr. Patel) = 581 records
Key Insights
Why This Matter Matters
By pooling efforts, the research team analyzed a total of 581 dietary records, enabling a robust, statistically significant understanding of long-term eating patterns. Such comprehensive data analysis supports evidence-based recommendations in nutrition science and public health policy.
With rigorous methodology and scalable data handling, this collaborative analysis exemplifies how structured research teams can uncover meaningful insights from complex datasets. The combined effort highlights not only the sheer volume of data processed—581 records—but also the scalability of nutritional research when multiple experts collaborate.
Keywords: dietary data analysis, nutrition research, Dr. Lee records, Dr. Kim additional records, Dr. Patel reduced count, total datasets analyzed, food intake tracking, research collaboration.
