In science, mathematics and computation are fundamental tools for representing physical variables and their relationships. They are used for a range of tasks such as constructing simulations; statistically analyzing data; and recognizing, expressing, and applying quantitative relationships. Mathematical and computational approaches enable prediction of the behavior of physical systems along with the testing of such predictions. Moreover, statistical techniques are also invaluable for identifying significant patterns and establishing correlational relationships.
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Question 1
1.
A student collected the following data.
Which type of graph or chart would be best to use to gather come to some meaningful conclusions about this data?
SP6: Constructing explanations and designing solutions
The goal of science is the construction of theories that provide explanations about the natural world. A theory becomes accepted when it has multiple independent lines of empirical evidence and greater explanatory power.
SP7: Engaging in argument from evidence
In science, reasoning and argument are essential for clarifying strengths and weaknesses of a line of evidence and for identifying the best explanation for a natural phenomenon. Scientists must defend their explanations, formulate evidence based on a solid foundation of data, examine their understanding in light of the evidence and comments by others, and collaborate with peers in searching for the best explanation for the phenomena being investigated.
The basic format for S&EP 6 and 7 is the ACE strategy
SP8: Obtain, evaluate and communicate information
Science cannot advance if scientists are unable to communicate their findings clearly and persuasively or learn about the findings of others. A major practice of science is thus to communicate ideas and the results of inquiry—orally; in writing; with the use of tables, diagrams, graphs and equations; and by engaging in extended discussions with peers. Science requires the ability to derive meaning from scientific texts such as papers, the internet, symposia, or lectures to evaluate the scientific validity of the information thus acquired and to integrate that information into proposed explanations.
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Question 2
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Match each practice with its definition
Formulating, refining and evaluating empirically testable questions using models and simulations.
Using synthesizing, and developing models to predict and show relationships among variables between systems and their components in the natural world.
Planning and carrying out investigations that provide evidence for and test conceptual, mathematical, physical and empirical models
Organize and interpret data through tabulating, graphing or statistical analysis. Such analysis can bring about the meaning of data - and their relevance - so that it may be used as evidence.
Using algebraic thinking and analysis to analyze, represent and model data. Simple computational simulations are created and used based on mathematical models of basic assumptions.
Constructing explanations that are supported by multiple and independent student-generated sources of evidence consistent with scientific ideas, principles and theories.
Using appropriate and sufficient evidence and scientific reasoning to defend and critique the claims and explanations about the natural world. Arguments may also come from current scientific and historical episodes in science.
Evaluating the validity and reliability of the claims and methods. Communicating information, evidence and ideas in multiple ways: using tables, diagrams, graphs, models, interactive displays and equations as well as orally, in writing and through extended discussions.
Asking questions
Developing and using models
Planning and carrying out investigations
Analyzing and interpreting data
Using mathematics and computational thinking.
Constructing explanations
Engaging in argument from evidence
Obtaining, evaluating and communicating informattion.