Nature of Science Notes Part II- Experimental Design.

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Presentation transcript:

Nature of Science Notes Part II- Experimental Design

1. Identify the problem -What is the question or problem?

2. Research - Gather information about the problem. • Quantitative-descriptions that use numbers (ex. -2C, 200 ml) • Qualitative – descriptions that do not use numbers (ex. color, odor, touch)

3. Form a hypothesis - A tentative explanation to solve the problem and can be tested. • Written in If… then… format. • Imagination and creativity

4. Test hypothesis by experimental design. -Three variables in experimental design: •Independent- variable that can be changed. •Dependent- variable that changes in response to the independent variable. •Controlled-all other variables kept consistent during experiment.

5. Results - Data and Observations 5. Results - Data and Observations •Data and observations are clearly recorded. Units/labels are included. Figure. Weekly Earthquake data, August 10, 2006.

Data and Observations continued. Atmospheric carbon dioxide concentrations in Mauna Loa, Hawaii. Year Jan. Feb. March April May June July Aug. Sept. Oct. Nov. Dec. Annual 1958 -99.99 315.71 317.45 317.5 315.86 314.93 313.19 313.34 314.67 1959 315.58 316.47 316.65 317.71 318.29 318.16 316.55 314.8 313.84 314.81 315.59 315.98 1960 316.43 316.97 317.58 319.03 320.03 319.59 318.18 315.91 314.16 313.83 315 316.19 316.91 1961 316.89 317.7 318.54 319.48 320.58 319.78 318.58 316.79 314.99 315.31 316.1 317.01 317.65 1962 317.94 318.56 319.69 321.01 320.61 319.61 317.4 316.26 315.42 316.69 317.69 318.45 1963 318.74 319.08 319.86 321.39 322.24 321.47 319.74 317.77 316.21 315.99 317.07 318.36 318.99 1964 319.57 322.23 321.89 320.44 318.7 316.7 316.87 317.68 318.71 1965 319.44 320.89 322.13 322.16 321.87 321.21 318.87 317.81 317.3 319.42 1966 320.62 321.59 322.39 323.7 324.07 323.75 322.4 320.37 318.64 318.1 319.79 321.03 321.37

- Analysis/graph. •Graphically display or use calculation to analyze data.

6. Conclusion - Do you accept or reject your hypothesis? Why? • Summarize essential data used to draw conclusions. • Discuss possible experimental error. • Questions are asked for next hypothesis.