Vertical Articulation of Individual
Grade Expectations for Mathematics
Vermont‘s Framework of Standards and Learning Opportunities 

Standard  M:28 Using Data to Answer Questions

Introduction: 

Standard M:28 focuses on the collection, presentation, and interpretation of data to answer a teacher or student generated question

Kindergarten

MK: 28   In response to a teacher - or student-generated question or hypothesis, collects appropriate data and makes observations about the data through written or verbal/scribed response.
  (IMPORTANT: Analyzes data consistent with concepts and skills in MK: 24.)

First Grade

M1: 28   In response to a teacher - or student-generated question or hypothesis, collects appropriate data to answer the question or hypothesis being tested through written or verbal/scribed response. (IMPORTANT: Analyzes data consistent with concepts and skills in MK: 24.)

Second Grade

M2: 28 In response to a teacher - or student-generated question or hypothesis, collects appropriate data, organizes the data, displays/represents the data, and makes observations about the data to draw conclusions about the question or hypothesis being tested.(IMPORTANT: Analyzes data consistent with concepts and skills in M2:24.)

Third grade

M3: 28 In response to a teacher - or student-generated question or hypothesis, collects appropriate data, organizes the data, displays/represents the data, and makes observations about the data to draw conclusions about the question or hypothesis being tested. (IMPORTANT: Analyzes data consistent with concepts and skills in M3:24.)

Fourth Grade

M4: 28 In response to a teacher - or student-generated question or hypothesis, collects appropriate data, organizes the data, displays/represents the data, analyzes the data to draw conclusions about the questions or hypothesis being tested. (IMPORTANT: Analyzes data consistent with concepts and skills in M4: 24.)

Fifth grade

M5: 28 In response to a teacher - or student-generated question or hypothesis, collects appropriate data, organizes the data, appropriately displays/represents numerical and/or categorical data, analyzes the data to draw conclusions about the questions or hypothesis being tested, and when appropriate makes predictions, asks new questions, or makes connections to real-world situations.    (IMPORTANT: Analyzes data consistent with concepts and skills in M5:24.)

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