1 / 24

Introduction to Scientific Method: REVIEW: Observation and Data

Introduction to Scientific Method: REVIEW: Observation and Data. Honors Biology Ms. Kim. Observation : using your 5 senses to collect information Data : scientific information Inference : a logical conclusion or assumption based on your observations. Example….

charde-lynn
Download Presentation

Introduction to Scientific Method: REVIEW: Observation and Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Introduction to Scientific Method:REVIEW:Observation and Data Honors Biology Ms. Kim

  2. Observation: using your 5 senses to collect information • Data: scientific information • Inference: a logical conclusion or assumption based on your observations

  3. Example… • Your cell phone is ringing in class  • What is an observation? • I hear a ringing sound. • I see the phone light up. • What is an inference? • Someone is calling me.

  4. DATA 2 TYPES: • Quantitative: includes observations or data that involves numbers (#’s), amounts or quantities • Qualitative: includes observations that DO NOT involve numbers; Observations or data that is descriptive.

  5. Scientific Method

  6. What are the steps? **(Initial) Observation : use your 5 senses 1.State the problem or question: ●What are you trying to solve or research? 2.Form your hypothesis: • an educated or logical prediction to answer your problem question; use your prior knowledge • Not just a “guess” • IT MUST BE TESTABLE!!! • “If…then…because” statement 3.Plan your experiment: ●decide your procedure, control, variables & materials

  7. 4.Perform your experiment: • Collect data (both qualitative and quantitative) 5.Analyze your data (Results): • Make sense of your data • put it in LINE graphs/charts/table, etc. 6.Conclusion: • Sum up your findings (data) • Restate your hypothesis and state whether it is supported or not supported based on your results • CITE your quantitative and/or qualitative data!!! EXPLAIN your numerical data. • State and EXPLAIN any experimental error(s) (called error analysis)

  8. Hypothesis Example: • What will happen to Derrick Rose’s shooting points during a Bulls game if he drank Gatorade everyday for 3 months? • IF Derrick Rose drank Gatorade everyday for 3 months, THEN Derrick Rose will score more shooting points BECAUSE the Gatorade will provide him energy and help his endurance last longer.

  9. A Controlled Experiment • Experiment= process to collect data • There are 2 groups in an experiment: • Experimental (or test) group • Control group

  10. Experimental vs. Control Groups

  11. Example:HOW WILL FERTILIZER AFFECT PLANT GROWTH? WITH FERTILIZER WITHOUT FERTILIZER (plants normally don’t have fertilizer) >>>>ONLY CHANGE (test) 1 VARIABLE (thing): THE PRESENCE OF FERTILZER Conditions (or standard variables) that NEED to remain the same for a controlled experiment: • AMOUNT OF SUNLIGHT, • SOIL, • TYPE OF POT, • TEMPERATURE, • SPECIES OF PLANT TEST GROUP + + CONTROL GROUP

  12. GOING BACK TO DERRICK ROSE: • What will happen to Derrick Rose’s shooting points during a Bulls game if he drank Gatorade everyday for 3 months? • Experimental group: Derrick Rose drinking Gatorade. • Control group: Derrick Rose not drinking Gatorade.

  13. A controlled experiment will have 2 different variables: • Independent variable (“If….then…) • Dependent variable (If…then…)

  14. Example:HOW WILL FERTILIZER AFFECT PLANT GROWTH? WITH FERTILIZER WITHOUT FERTILIZER (plants normally don’t have fertilizer) Independent variable: WHAT ARE YOU TESTING? • Fertilizer Dependent variable: WHAT ARE YOU MEASURING? • Plant Growth TEST GROUP + + CONTROL GROUP

  15. GOING BACK TO DERRICK ROSE’S EXAMPLE: • The independent, or manipulated variable, is (what are you testing?) • *Ex: The amount of Gatorade Derrick Rose drinks. • The dependent, or responding variable, is (what are we measuring/what’s the result?). • *Ex: Shooting points Derrick Rose will score during a game.

  16. X- Axis = Independent variable • If time is present, it is usually ALWAYS goes on the x-axis (independent variable) • Y- Axis = Dependent variable

  17. T.A.I.L.S for graphs • T = Title is present • A = Correctly label x/y-axes (with label & units) • I = Use consistent intervals on axes • L = Label a key (if applicable) • S = Size (BIG graphs/use entire graph paper)

  18. Now let’s practice with Spongebob… • Which people are in the control group? What is the independent variable? Patty Power Mr. Krabbs wants to make Bikini Bottoms a nicer place to live. He has created a new sauce that he thinks will reduce the production of body gas associated with eating crabby patties from the Krusty Krab. He recruits 100 customers with a history of gas problems. He has 50 of them (Group A) eat crabby patties with the new sauce. The other 50 (Group B) eat crabby patties with sauce that looks just like new sauce but is really just mixture of mayonnaise and food coloring. Both groups were told that they were getting the sauce that would reduce gas production. Two hours after eating the crabby patties, 30 customers in group A reported having fewer gas problems and 8 customers in group B reported having fewer gas problems. • What is the control group? • What is the independent variable? • What is the dependent variable? Group B New Sauce Amount of gas

  19. More practice with Spongebob… • http://sciencespot.net/Media/scimethodconvar.pdf#search='spongebob%20variable%20worksheet’

  20. Additional Information… • Essential to ALL experiments is: • Replication!!! • You NEED to consider your number of trials • Use the EXACT same conditions in EACH trial • Why? • To determine if the results are consistent  this INCREASES our confidence in the resulting data • BUT… • A certain amount of variation is NORMAL! • Increasing trial # allows us to obtain an AVERAGE RESULT from different trials.

  21. Additional Information… • Essential to ALL experiments is: 2) Sample size • You NEED to consider your sample size when drawing conclusions • For example… • You are working with plants and decide to plant 2 control plants and 2 test plants. • 1 test plant and 2 control plants die during the experiment • WHAT HAPPENS NOW? 

  22. Additional Information… • Essential to ALL experiments is: 3) Clear procedure • Do NOT use pronouns! • Use “directional” language • Example: • Place ______ in _____. • Fill 20 ml of water in a 50 ml graduated cylinder • Someone MUST be able to REPEAT your procedure over and over to produce similar results!!

  23. Theory vs. Hypothesis • Scientists test hypotheses MANY times in different ways!(i.e.- w/ new research tools, equipment, etc) • Many “types” of knowing…science-based knowledge based on careful, repeated observations/testable hypotheses. • THEORY= a well-tested explanation that is supported by A LOT of evidence (data) • Much broader than a hypothesis

  24. INDUCTIVE REASONING: Derives general principles from specific observations Ex: All organisms are made of cells – based on years of findings from biologists DEDUCTIVE REASONING: Reasoning flows from general to specific Ex: If all organisms are made of cells, and humans are organisms, then humans are made of cells. Inductive vs. Deductive Reasoning

More Related