iRubric: Central Tendency and Data Representation rubric

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Central Tendency and Data Representation

Generation-wide statistical study designed to describe the habits, behaviors, and routines of all 9th-grade students.

Rubric Code: Y252428

By fcovazquezg

Draft

Public Rubric

Subject: Math

Type: Project

Grade Levels: 9-12

Central Tendency and Data Representation Project This rubric evaluates the quality and accuracy of the work completed in the Central Tendency and Data Representation Project. Across five key areas: Data Collection, Computation Accuracy, Graphical Representations, Interpretation & Analysis, and Collaboration & Presentation. Each category is assessed using four levels of competency (Excellent, Good, Fair, and Poor).
	Beginning At Level 1 (Poor), the student typically: -Shows limited comprehension of the mathematical concepts involved. -Provides work that is incomplete, inaccurate, or poorly organized. -Demonstrates major errors in calculations, graphs, or explanations. -Does not meet the basic expectations of the assignment. -Needs significant support or reteaching to reach grade-level proficiency. 1 pts	Developing At Level 2 (Fair), the student typically: -Shows basic comprehension, but with noticeable gaps. -Provides work that is partially complete or contains multiple errors. -Demonstrates an inconsistent application of procedures or concepts. -May misunderstand parts of the task or skip important steps. -Needs additional practice, clarification, or guidance to improve. 2 pts	Competent At Level 3 (Good), the student typically: -Shows clear understanding of the mathematical concepts. -Provides work that is complete, correct, and well-organized, with only minor errors. -Applies procedures and methods accurately and consistently. -Demonstrates the ability to follow instructions and meet all key requirements. -Shows readiness to extend or refine skills with further practice. 3 pts	Solid Mastery At Level 4, the student typically: -Shows thorough and accurate understanding of the mathematical concepts. -Produces work that is complete, precise, and exceptionally well-organized. -Applies procedures and reasoning correctly, consistently, and with confidence. -Offers explanations or representations that show clarity, insight, and attention to detail. -Meets and often exceeds expectations, demonstrating readiness for advanced application. 4 pts
Data Collection 30 % This category measures the quality, accuracy, and completeness of the data your team collects from the entire 9th grade. It evaluates whether you: -Collected enough data (at least 60–90 points). -Gathered information from all three sections (9A, 9B, 9C). -Recorded data correctly, honestly, and in an organized format. -Avoided missing numbers, duplicates, or inconsistent units.	Beginning Data collection is incomplete, inaccurate, or poorly executed.	Developing The dataset contains noticeable errors or missing entries. Organization is inconsistent.	Competent The dataset is mostly complete and organized with only minor inconsistencies.	Solid Mastery The team collects a complete dataset representing the entire 9th grade. All data is clean, organized, and accurate.
Computation Accuracy 30 % This section assesses how accurately and clearly your team computes the mean, median, and mode for your dataset. It evaluates whether you: -Performed all three calculations correctly. -Showed your work in a clear, organized way. -Verified your results and ensured no arithmetic or ordering errors were made. -Used proper methods (sorting, summing, counting frequencies, etc.).	Beginning Most calculations are incorrect or missing.	Developing Multiple calculation errors or missing one of the measures.	Competent Most calculations are correct with minor errors.	Solid Mastery All central tendency calculations (mean, median, mode) are correct and clearly shown.
Graphical Representations 20 % This category examines the correctness and clarity of your three required graphs: -Stem-and-Leaf Plot -Dot Plot -Box-and-Whisker Plot It evaluates whether your team: -Built all three graphs correctly. -Used accurate values from your dataset. -Labeled axes, stems, leaves, scales, and quartiles correctly. -Made graphs that are easy to read, correctly scaled, and visually clean.	Beginning Graphs are missing or incorrect.	Developing Graphs contain several errors or are incomplete.	Competent Graphs are present and understandable with minor errors.	Solid Mastery All graphs are accurate, labeled, scaled, and clear.
Interpretation & Analysis 10 % This category assesses how well your team understands and explains what the data means. It evaluates whether your explanation: -Identifies trends, patterns, or behaviors. -Mentions outliers and explains their impact. -Connects mathematical results to real student habits. -Shows thoughtful reflection rather than vague or generic statements.	Beginning No meaningful interpretation or unrelated explanation.	Developing Interpretation is superficial or includes errors.	Competent Interpretation is correct but lacks depth.	Solid Mastery Clear, thoughtful explanation of trends, outliers, and meaning.
Collaboration & Presentation 10 % This category measures both how well your team worked together and how clearly you present the final product. It evaluates whether: -Roles were clearly divided and everyone contributed. -Communication within the team was effective. -The final poster or slideshow is organized and visually clear. -Your presentation (if required) is confident, logical, and easy to follow.	Beginning Minimal collaboration or unclear final product.	Developing Unbalanced participation or disorganized presentation.	Competent Good teamwork with minor issues.	Solid Mastery Strong teamwork, clear roles, organized presentation.

Keywords:

Central Tendency and Data Representation

Subjects:

Math

Types:

Project

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