The AMC 8/10/12 Contests are Getting Harder (2024)

The AMC 8/10/12 Contests are Getting Harder (1)Henry Wan,Ph.D.

We have developed a comprehensive, integrated, non-redundant, well-annotated database “CMP” consisting of various competitive math problems, including all previous problems on the AMC 8/10/12, AIME,MATHCOUNTS,Math Kangaroo Contest,Math Olympiads for Elementary and Middle Schools(MOEMS),ARML, HMMT,Math League, PUMaC, Stanford Math Tournament (SMT). TheCPMis an invaluable“big data” system we use for our research and development, and is a golden resource for our students, who are the ultimate beneficiaries.

We have also devised adata mining and predictive analytics tool formath problemsimilarity searching. Using this powerful tool, we can align query math problems against those present in the target database “CPM,” and then detect those similar problems in theCMPdatabase.

1. The scope of the AMC is greatly expanded

Transformation geometry

Recursive sequences

Equations involving the floor and ceiling functions

Equations involving gcd and lcm

Geometric probability

Infinite geometric series with probability

2. The difficulty of the AMC is increased

For those hard problems on the 2017 AMC 10A/12A, according to the database searching, we have found:

  • The 2017 AMC 10A Problem 18 (also known as Problem 15 on the 2017 AMC 12A)is the same as the following 3 problems:
    • 2015 AMC 12B Problem 9
    • 2016 AMC 12B Problem 19
    • 1981 AHSME Problem 26
  • The first part of the 2017 AMC 10A Problem 21 (also known as Problem 19 on the 2017 AMC 12A) is exactly the same as the 2007 AMC 10B Problem 21

ClickHEREto seemy detailed solutions of the hard problems on the 2017 AMC 10A/12A.

In my AMC 10/12 Prep Class, I ever used Problem #19 on the 2016 AMC 12B, as a typical example, to efficiently solve discrete probability problems on the AMC10/12, including the complementary probabilities. Thus, when my students attended the 2017 AMC 10A/12A, they already knew how to solve the AMC 10A Problem 18/AMC 12AProblem 15and its answer. So they took one second to bubble the correct answer and then got 6 points very easily!

Conclusions
The AMC changes every single year and even undergoes a huge change every five years. Thus, it is extremely important to study materials that are relevant to the current AMC, not just the past AMC, which the Ivy League Education Center prioritize.

All problems from past AMC 10/12 exams (2000-2017) and AHSME (1950–1999) form our “big data” system. The AHSME (American High School Mathematics Examination) was the former name of the AMC, before 2000. We have used data mining and predictive analytics to extensively examine the types and the frequencies of questions in all these materials, and then completely “decoded” the AMC 10/12. We always show all the “secret code” cracked from the above big data to students, and teach them to totally grasp and “control” the AMC. For all questions on the recent AMC contests, we can find their “ancestors” and “roots” from the old AMC problems. Therefore, the best way to prepare for the contest is to practice by solving old AMC problems.

References

  1. Some Hard Problems on the 2016 AMC 8 are Exactly the Same as Previous Problems on the AMC 10/12 and the Other Competitions
  2. The Hardest Problems on the 2017 AMC 8 are Extremely Similar to Previous Problems on the AMC 8, 10, 12, Kangaroo, and MathCounts
  3. The Hardest Problems on the 2018 AMC 8 are Nearly Identical to Former Problems on the AMC 8, 10, 12, and MathCounts
  4. Some Problems on the 2016 AMC 10/12 are Exactly the Same as Previous AMC/ARML Problems
  5. Some Hard Problems on the 2017 AMC 10A/12A are Totally the Same as Previous Problems on the AMC 10/12

ClickHEREfind outmore about Math Competitions!

ClickHEREtofind outmore about SAT Prep!

CopyrightThe AMC 8/10/12 Contests are Getting Harder (2)Dr. Henry Wan. All rights reserved.

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This passage from Dr. Henry Wan touches on several key concepts in competitive mathematics, particularly concerning the development of a comprehensive database, competitive math problems, and the tools and strategies used for analyzing and preparing for contests like the AMC (American Mathematics Competitions), AIME (American Invitational Mathematics Examination), MathCounts, Math Kangaroo, Math Olympiads, ARML (American Regions Mathematics League), and various other math competitions.

Firstly, Dr. Wan emphasizes the creation of a database called "CMP," which is a repository of competitive math problems. This database seems to encompass problems from a multitude of math contests, including the AMC 8/10/12, AIME, MathCounts, Math Kangaroo Contest, Math Olympiads for Elementary and Middle Schools (MOEMS), ARML, HMMT, Math League, PUMaC, and the Stanford Math Tournament (SMT). The database is well-annotated and non-redundant, providing a valuable resource for both research and student preparation.

The article also highlights the use of data mining and predictive analytics tools within this database. These tools aid in problem similarity searching, aligning query math problems against those in the CMP database and detecting similar problems. Dr. Wan discusses how this technology has been utilized to identify similarities between problems across different competitions and even across multiple years within the same competition.

Additionally, the passage delves into specific mathematical topics and problem-solving strategies relevant to the AMC contests. It mentions the expansion of the scope of AMC, citing various mathematical concepts such as transformation geometry, recursive sequences, equations involving floor and ceiling functions, gcd, lcm, geometric probability, and infinite geometric series with probability.

Furthermore, the article touches upon the changing difficulty levels within the AMC exams. It provides examples of specific problems from different years that share similarities, emphasizing the importance of understanding the evolution of problem types and difficulty levels over time. Dr. Wan illustrates how prior exposure to similar problems can significantly benefit students, enabling them to solve new problems efficiently during the contest.

Finally, the article emphasizes the significance of practicing with past problems from these competitions as a crucial part of preparation. It suggests that historical problems serve as a foundation for understanding the patterns, types, and structures of problems likely to appear in current and future contests.

The references provided in the article also indicate comparisons between problems from various competitions and years, showcasing similarities and continuity in the types of problems presented.

Overall, Dr. Henry Wan's work revolves around the meticulous analysis, curation, and utilization of extensive problem sets from diverse math competitions, employing data-driven techniques to aid students in mastering the intricacies of these contests.

The AMC 8/10/12 Contests are Getting Harder (2024)
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