2. Forming hypothesis
3. Testing hypothesis
4. Analyzing Data
5. Evaluating results
- one or more of the five senses to describe objects/ events
- observations raise questions
-conclusion made on the basis of facts or premises rather than on direct observations
- explanation that MIGHT be true
- general statement that explains the observations
- preliminary conclusions
- ideas on "trial"
-can be tested
- Expected outcome of a test assuming the hypothesis is correct
- What you believe will happen if he hypothesis is correct
- If... then
- If (hypothesis)
- then ( prediction)
- ex: If I change the lightbulb, then the light will come back on.
- To design an experiment to test the hypothesis
- Control VS experimental group
- independent vs dependent variable
- Quantitative data vs Qualitative data
- The control (normal group) and experimental group is investigated under identical conditions except for one factor that is changed. (must coincide w/ hypothesis)
- INDEPENDENT VARIABLE: factor that is altered in the experiment
- only one independent variable
- DEPENDENT VARIABLE: measurable factors
-only one dependent variable
-CONSTANTS: all variables that are similar between the control and experimental group.
- quantitative data
- precise measurements
- qualitative data
- identification of materials or process
- no numbers
- based on your data, is your hypothesis right or wrong?
- MODEL; explanation supported by the data
- STANDARD ERROR BARS: Graphical representations of the variability of data used to indicate the error or uncertainty in a reported measure
- If hypothesis is wrong, create a new one
- if hypothesis is right, repeat the experiment again
- theory: broad and comprehensive statement of what is thought to be true, formed after many hypotheses have been tested and supported.