This student-friendly guide teaches how to correctly develop testable hypotheses for science experiments. It explains what makes a strong hypothesis, introduces the If…then… format, and highlights the importance of identifying independent and dependent variables. Students practice spotting weak or opinion-based hypotheses, correcting them, and writing their own using real-world scenarios. Included in the resource are complete objective descriptions for MYP Criterion, ATL, UDL, NGSS, and standard objectives. Resource Highlights: · Clear instructions on how to: o Ask scientific questions that can be tested o Write hypotheses in the If…then… format o Identify independent (cause) and dependent (effect) variables o Recognize and correct vague or non-testable hypotheses o Apply hypotheses to real-world examples · Example hypotheses included: o Fertilizer and plant growth o Wheel size and toy car speed · Practice worksheet: o Part 1: Error identification in flawed hypotheses o Part 2: Identify independent and dependent variables o Part 3: Write your own hypotheses from given variables o Part 4: Extended scenario practice with IV/DV identification · Support tools: o Student checklist for writing strong hypotheses This resource builds essential science inquiry skills and prepares students for designing controlled experiments. It can be used as a class activity, independent practice, or formative assessment.

This student-friendly guide teaches how to correctly write scientific conclusions based on experimental data. It explains the role of conclusions in the scientific method and emphasizes that conclusions must come directly from the evidence collected. Students learn how to connect results to their hypothesis, identify when conclusions go too far, and use clear reasoning supported by data. Included in the resource are complete objective descriptions for MYP Criterion, ATL, UDL, NGSS, and standard objectives. Resource Highlights: · Clear instructions on how to: o Review the hypothesis and data before writing a conclusion o Decide whether the hypothesis is supported or not o Summarize findings using only the experimental evidence o Avoid overgeneralizing beyond what was tested o Use a checklist to ensure strong, valid conclusions · Example experiment included: o Models a paper towel strength test with sample data table o Demonstrates valid vs. invalid conclusions · Practice worksheet: o Elodea plant growth experiment with graph-based questions o Additional scenarios on sugar dissolving and soil type effects o Student tasks to summarize data, evaluate hypotheses, and write conclusions · Support tools: o “Good vs. Not Good” conclusion examples o Student checklist for writing strong conclusions This resource supports critical thinking and evidence-based reasoning for middle school students. It can be used as a guided activity, independent practice, or formative assessment.

This student-friendly guide teaches how to write clear, testable science questions that can lead to hands-on investigations. It introduces the structure of a good question using independent and dependent variables, and shows students how to avoid vague or opinion-based prompts. Students analyze examples, find mistakes, and write their own testable questions to build confidence and understanding. Included in the resource are complete objective descriptions for MYP Criterion, ATL, UDL, NGSS and standard objectives. Resource Highlights: Clear instructions on how to: Start a question with “How” or “What” Include something you can change (independent variable) Include something you can measure (dependent variable) Avoid yes/no, opinion-based, or vague questions Example questions included: Four strong, testable questions Two non-examples that are close but flawed Practice worksheet: Part 1: Identify and explain problems in flawed questions Part 2: Write two new testable questions based on a prompt Part 3: Use a checklist to review and revise your work This resource supports scientific thinking and experimental design for middle school students. It can be used for classwork, homework, or as a pre-lab activity.

This student-friendly guide teaches how to correctly create and organize raw data tables for science experiments. It introduces key table elements like proper titles, column labels with units, consistent formatting, and the role of independent, dependent, and controlled variables. Students also practice identifying mistakes and designing their own data tables, reinforcing understanding through applied tasks. Included in the resource are complete objective descriptions for MYP Criterion, ATL, UDL, NGSS and standard objectives.