ISCI 101 Week 1 Notes
ISCI 101 Week 1 Notes ISCI 101
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This 2 page Class Notes was uploaded by Charles Miller on Sunday September 4, 2016. The Class Notes belongs to ISCI 101 at James Madison University taught by Tom Devore in Fall 2016. Since its upload, it has received 75 views. For similar materials see Physics, Chemistry, and the Human Experience in Science at James Madison University.
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Date Created: 09/04/16
Week 1 Ways to Acquire Knowledge 1. By Participation 2. By Acquisition 3. By Reason and Logic 4. By Mathematical Proof 5. By the Scientific Method 6. By Trial and Error Method 7. By applying an algorithm 8. By learning from an experience 9. By intuition 10.By an argument from authority 11.By listening to testimony 12.By observing the world in its natural state 13.By acquiring knowledge that is embedded in one’s language, culture, and tradition 14.By conversation 15.By some claimed form of enlightenment following a period of meditation 16.By some claimed form of divine illumination Limitations of Science Science doesn’t make moral judgements Science doesn’t make aesthetic judgements Science doesn’t tell you how to use scientific knowledge Science doesn’t draw conclusions about supernatural explanations What to Check About a Source Is the source reliable Was the data collected in an appropriate manner Was the data analyzed correctly Who funded the study (Political Agendas?) Have the findings been reproduced? Have the findings been truncated Why Skepticism? At one time 97% of scientist believed that o The earth was flat o The sun orbits around the earth o Earthquakes were the wrath of God Basically through time old science is replaced with new science, that is usually better. In statistics, an association is any relationship between two measured quantities that renders them statistically dependent. The term “association” is closely related to the term “correlation”. Both terms imply that two or more variables vary according to some pattern. Causation When an article says that causation was found, this means that the researchers found that changes in one variable they measured directly caused changes in the other. Correlation does not imply Causation A phrase in science and statistics that emphasizes that a correlation between two variables does not necessarily imply that one causes the other. For any two correlated events A and B, the following relationships are possible A causes B B causes B A and B are consequences of a common cause but do not cause each other There is no connection between A and B the correlation is coincidental
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