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18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36.

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Presentation on theme: "18.8 23.3 23.6 23.1 23.1 – Connecticut. What’s A Good Score? Science: 24 out of 36."— Presentation transcript:

1 18.8 23.3 23.6 23.1 23.1 – Connecticut

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3 What’s A Good Score? Science: 24 out of 36

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5 ACT Scores CompositeEnglish Math 25%75%25%75%25%75% Alabama212721281926 Arkansas232822302228 Auburn222723302228 Florida2530---- Georgia252925312429 Kentucky212721272027 LSU232823292227 Mississippi State202721291926 Ole Miss202620271825 South Carolina232822292227 Tennessee232823292227 Vanderbilt303331342934

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7 BotanyZoologyMicrobiologyEcologyGeneticsEvolutionAtomic Theory Inorganic Chemistry Chemical Bonding Reaction RatesSolutionsEquillibriumGas LawsElectrochemistry Organic Chemistry Properties of Matter

8 MatterMechanicsEnergyThermodynamicsElectromagnetismFluidsSolidsLight WavesGeologyMeteorologyOceanographyAstronomy Environmental Science FluidsSolidsLight Waves

9 are you in the 3% ?

10 CRS (College Readiness Standards) Science: 24 Compare or combine data from two or more simple data presentations (e.g., categorize data from a table using a scale from another table) Compare or combine data from a complex data presentation Interpolate between data points in a table or graph Determine how the value of one variable changes as the value of another variable changes in a complex data presentation Identify and/or use a simple (e.g., linear) mathematical relationship between data Analyze given information when presented with new, simple information Understand the methods and tools used in a complex experiment Understand a complex experimental design Predict the results of an additional trial or measurement in an experiment Determine the experimental conditions that would produce specified results Select a simple hypothesis, prediction, or conclusion that is supported by two or more data presentations or models Determine whether given information supports or contradicts a simple hypothesis or conclusion, and why Identify strengths and weaknesses in one or more models Identify similarities and differences between models Determine which model(s) is(are) supported or weakened by new information Select a data presentation or a model that supports or contradicts a hypothesis, prediction, or conclusion


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