science is a process scientific inquiry is a search for information and explanation

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Science is a process Scientific inquiry is a search for information and explanation

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  • Science is a process

    Scientific inquiry is a search for information and explanation

  • Two Types of Scientific Inquiry

  • Two Types of Scientific InquiryDiscovery Science - describes nature

  • Two Types of Scientific InquiryDiscovery Science - describes nature

    Hypothesis-based Science helps to explain natural phenomena

  • Two Types of Scientific InquiryDiscovery Science - describes nature through observation

    Hypothesis-based Science - explains the observations & how biological systems work

    Both arrive at conclusions using logic and reasoning

  • Types of Reasoning

  • Types of ReasoningInductiveReasoning flows from the specific to the general

  • Types of ReasoningInductiveReasoning flows from the specific to the general

    DeductiveReasoning flows from the general to the specific

  • Discovery Science - Observations are made and recorded (data), may be qualitative or quantitative

  • Discovery Science - Observations are made and recorded (data), may be qualitative or quantitativeExamples: Cell description databases of DNA sequences chimpanzee behavior

    - Uses inductive reasoning

  • Hypothesis-based Science

  • Hypothesis-based Science

    Seeks natural causes and explanation for observation

  • Hypothesis-based Science

    Seeks natural causes and explanation for observation (How & Why)

    Uses deductive reasoning

  • Applying hypothetico-deductive reasoning to a campground problem

  • Hypothesis

  • Hypothesis

    A possible explanation for a well-defined question

  • Hypothesis

    A possible explanation for a well-defined questionProposed based on past experience and data made available through discovery science

  • Hypothesis

    A possible explanation for a well-defined questionProposed based on past experience and data made available through discovery scienceLeads to a prediction which can be tested- measurable and controllable

  • Steps of hypothesis-driven scientific inquiry

  • Steps of hypothesis-driven scientific inquiry

    Observation based on established knowledge

  • Steps of hypothesis-driven scientific inquiry

    Observation based on established knowledge Question

  • Steps of hypothesis-driven scientific inquiry

    Observation based on established knowledge QuestionHypothesis

  • Steps of hypothesis-driven scientific inquiry

    Observation based on established knowledge QuestionHypothesisPrediction (if.then) testable

  • Steps of hypothesis-driven scientific inquiry

    Observation based on established knowledge QuestionHypothesisPrediction (if.then) testableDesigning and conducting experiment (controlled)

  • Steps of hypothesis-driven scientific inquiry

    Observation based on established knowledge QuestionHypothesisPrediction (if.then) testableDesigning and conducting experiment (controlled)Obtaining results (data)

  • Steps of hypothesis-driven scientific inquiry

    Observation based on established knowledge QuestionHypothesisPrediction (if.then) testableDesigning and conducting experiment (controlled)Obtaining results (data)Analysis & Conclusion (whether data supports or does not support the hypothesis)

  • Steps of hypothesis-driven scientific inquiry

    Observation based on established knowledge QuestionHypothesisPrediction (if.then) testableDesign and conducting experiment(controlled)Obtaining results (data)Analysis & Conclusion (whether data supports or does not support the prediction and the hypothesis)Revision of hypothesis (if necessary)

  • Theory

  • Theory

    A general statement about a comprehensive concept supported by much evidence.

  • Theory

    A general statement about a comprehensive concept supported by much evidence.

    Broader than a hypothesisBrings together many conclusions

  • Theory

    A general statement about a comprehensive concept supported by much evidence.

    Broader than a hypothesisBrings together many conclusionsExample: The Cell Theory

  • An explanation offered by a hypothesis must be for a question that isWell-definedTestable measurablecontrollable

  • Elements of Experimental DesignIdentification of the:

    Independent Variable - the factor that will be manipulated/altered by the scientist from experimental setup to setup

    Dependent Variable - the factor that is counted, measured or observed

    Uncontrolled Variables - alternative independent variables that have not been accounted/compensated for that may impact results

    Controlled Variables - alternative independent variables we have accounted for (kept uniform among different groups)

    Instituting a control - a setup where the independent variable is held constant or omitted so that the control treatment serves as a benchmark, yielding either an expected positive or negative value/result.

  • Presenting ResultsData is presented commonly in two standard formats: Figures and/or TablesFigures include graphs, charts, diagrams, sketches, pictures/photos, etc.When in graphical format, figures need appropriately labeled axesAdditionally, all figures need an appropriate label & title that have been correctly positioned below the graphFor example:

  • [Independent Variable (x-axis)][Dependent Variable (y-axis)]Figure 1. Effect of CO2 Concentration on Growth of Strawberry PlantConcentration of CO2 (parts per million)Plant Height (centimeters)labelTitle (very descriptive)

  • Choosing an Appropriate Graphing FormatLine graph vs. Bar Graph vs. Scatter PlotLine Graph - used in the presentation of continuous data; plot separate data points and then connect the points using linesBar Graph - used for data from separate distinct groups or non-numerical categoriesScatter Plot - use data to determine how much one variable is affected by the other; the closer the data points come when plotted to making a straight line, the higher the correlation between the two variables, or the stronger the relationship - correlations can be positive (showing a proportional relationship) or negative (inversely proportional relationship)

  • Tables are constructed with 2 columns and multiple rows - each column receives a heading with the left column representing the independent variable and the right column representing the dependent variableTables also need an appropriate label & title that have been correctly positioned above the tableFor example:

  • Table 1. Growth of Strawberry Plant When Exposed to Differing Amounts of CO2 Gas.

    CO2 Concentration (parts per million)Plant Height (centimeters)5510715152019

  • Labeling of Figures and Tables is conducted independently of one anotherFor example, if there is a figure to start with followed by a table followed by two more figures followed by a final table, the labeling would occur as such:

    Figure 1. Table 1. Figure 2. Figure 3. Table 2.

  • Observation:A person with high cardiovascular fitness has relatively lower resting pulse rate and a lower respiratory rate increase after exercise, and his or her pulse rate returns to normal faster than a less fit person

    Experimental Investigation: Lab 1

  • Question:Are females more cardiovascularly fit than males?Hypothesis:Your simple tentative answer/statement to this question (does not require an explanation)Prediction: In the format of If., then.Ex: If the hypothesis is true, and the step test is carried out, then females should demonstrate/have(whatever specific result you would anticipate in support of the hypothesis).

  • Designing an ExperimentCardiovascular fitnessDetermined by1. increase in pulse rate (PR) after exercise.Measure PR before (resting rate) & after aerobic exercise (exercise rate)2. Recovery time to resting pulse rate - how many minutes it takes to return to resting rate after exercise.