2015-2024 Math Grade 3 Released Tests PDF

Summary

These are released math tests for Grade 3, aligned to the standards, from lead4ward, focusing on whole number representation and comparisons.

Full Transcript

'' 2015-2024 Released Tests Aligned to the Standards CONTENT BUILDER FOR THE PLC Math Grade 3 Learn more Representation and Comparison of Whole Numbers 3.2 Number and operations. The student applies mathematical process standards to represent and comp...

'' 2015-2024 Released Tests Aligned to the Standards CONTENT BUILDER FOR THE PLC Math Grade 3 Learn more Representation and Comparison of Whole Numbers 3.2 Number and operations. The student applies mathematical process standards to represent and compare whole numbers and understand relationships related to place value. IQ Analysis | Investigating the Question 3.2(A) RC 1 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole Numbers 2024 – Q30 Representation of Whole Subcluster Numbers Content Readiness Process Item Type Drag and Drop (2 pts) Stimulus Data Analysis Item State Local Full Credit 70 No Credit 22 Partial Credit 8 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (ten thousands; hundreds; tens) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole 2023 – Q28 Numbers Representation of Whole Subcluster Numbers Content Readiness Process Item Type Multiple Choice (1 pt) Stimulus Data Analysis Item State Local A 6 B 31 C* 59 D 4 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (C) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole Numbers 2022 – Q24 Representation of Whole Subcluster Numbers Content Readiness Process Stimulus Data Analysis Item State Local 745 81* 19 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (745) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole Numbers 2021 – Q5 Representation of Whole Subcluster Numbers Content Readiness Process Stimulus Data Analysis Item State Local 972 81* 19 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (972) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole Numbers 2019 – Q4 Representation of Whole Subcluster Numbers Content Readiness Process Stimulus Data Analysis Item State Local F 6 G 2 H* 90 J 1 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (H) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole 2019 – Q27 Numbers Representation of Whole Subcluster Numbers Content Readiness Process Stimulus Data Analysis Item State Local A 34 B* 32 C 14 D 20 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (B) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole Numbers 2018 – Q21 Representation of Whole Subcluster Numbers Content Readiness Process Stimulus Data Analysis Item State Local A 10 B 6 C 7 D* 76 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (D) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole Numbers 2017 – Q16 Representation of Whole Subcluster Numbers Content Readiness Process Stimulus Data Analysis Item State Local F 19 G 6 H* 71 J 4 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (H) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole 2016 – Q13 Numbers Representation of Whole Subcluster Numbers Content Readiness Process 3.1(B), 3.1(F) Stimulus Data Analysis Item State Local A 6 B 22 C* 67 D 5 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (C) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole Numbers 2016 – Q27 Representation of Whole Subcluster Numbers Content Readiness Process 3.1(B), 3.1(D), 3.1(F) Stimulus Data Analysis Item State Local A* 81 B 11 C 4 D 3 Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (A) 3.2(A) compose and decompose numbers up to 100,000 as a sum of so many ten thousands, so many thousands, so many hundreds, so many tens, and so many ones using objects, pictorial models, and Analysis of Assessed Standards numbers, including expanded notation as appropriate Representation and Cluster Comparison of Whole 2015 – Q1 Sample Numbers Representation of Whole Subcluster Numbers Content Readiness Process 3.1(B), 3.1(F) Stimulus Data Analysis Item State Local A NA B NA C NA D* NA Error Analysis Guessing Mixed Up Concepts Careless Error Stopped Too Early Learning from Mistakes Instructional Implications *Correct Answer (D)

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