The Whiteboard company & numerical Analytics present
Inter School Math Competition
This year in order to be relevant with what is happening around our world, school students will work on a Statistical Project*. *What is a Statistical Project: A Statistical Project is a process of answering a research question using statistical techniques and presenting the work as a written research paper.
Certificate for ALL participating school teams.
Teams of 2 students. Each School can send in a maximum of two teams.
Participating students must be enrolled in any school in India as of June 5th 2020. This means that students who will graduate from High School (grade 12) in 2020 are not eligible.
Texas Instruments Graphing Calculator TI Nspire CX-II CAS (one for each member of the team)
Texas Instruments Graphing Calculator TI Nspire CX-II non CAS (one for each member of the team)
Projects must be the original design and creation of the Team(s).
Subject matter is the choice of the Team(s).
Page Limit – All projects may be no longer than 10 pages with 1-inch margins. The document must also be double-spaced. This page limit includes all graphs, tables, listings of raw data, and citations.
Font Criteria – All fonts, including fonts used in graphs, must be in 12-point Times New Roman.
This competition is sponsored by The Whiteboard.Company [TWC] and Numerical Analytics Pvt. Ltd. for the purpose of encouraging students to collect and interpret data to answer a statistical question. The primary focus of the project should therefore be the collection and analysis of data. Any project that does not serve this intent may be disqualified at the discretion of the jury.
Citations must comply with MLA requirements.
In submitting a project, Teams agree that the project may be included on TWC website.
All entries become the property of TWC and may not be used as a submission in part or in whole for any other Competition.
The online entry form must be submitted to register for the Competition.
Papers must be saved as PDF files prior to submission.
Statistical methods used in the project should not go beyond methods typically encountered in an introductory statistics course, including descriptive statistics, basic sampling methods, designed experiments (completely random designs and block designs), probability, confidence intervals or tests for a single parameter or the difference between two parameters, chi-square tests, simple or multiple linear regression, one- or two-factor ANOVA, simulation-based inference (randomization tests or bootstrapping), and other nonparametric methods. Any project that uses more advanced statistical techniques will be disqualified.
Students may receive adult guidance for their project. The extent of the guidance must be acknowledged in the paper. Entrants will not be penalized for acknowledging they asked for guidance.
Students are expected to work as scientific professionals. Confidentiality and anonymity of participants should be considered. Risks to participants (animals or humans) should be minimized. Unethical conduct may result in disqualification.
Evaluation: A panel of distinguished Jury , whose decisions are final, will judge the Projects based on the following criteria:
Statistical Question: Valid statistical question that is clearly stated, focused, and interesting.
Data Collection: Evidence of credible data sourced by students. Data that can be verified and substantiated to answer the statistical question. Raw data are included. Methods of extracting data explained.
Data Display: Includes appropriate, well-labeled, accurate displays (graphs and tables) of the data.
Data Analysis: Analysis of the data is accurate, thorough, and appropriate. Conditions are checked correctly for any inference procedures.
Conclusion: Conclusion includes a clear answer to the statistical question that is consistent with the data analysis and method of data collection.
Reflection on Process: Gives a good overall picture of the project—what went well and what didn't—and includes ideas for further study.