Presentation is loading. Please wait.

Presentation is loading. Please wait.

The Scientific Method The process of solving problems.

Similar presentations


Presentation on theme: "The Scientific Method The process of solving problems."— Presentation transcript:

1 The Scientific Method The process of solving problems

2 What is the Scientific Method? l The scientific method is a series of steps that we go through to solve a problem or answer a question. l We use at least some of the steps every day.

3 Why use the Scientific Method? l The steps allow us to organize a plan to solve a problem. l Science is solving problems. l In our labs, we will solve problems and answer questions.

4 Controlled Experiment l An experiment in which we isolate one variable between the control group and the experimental group.

5 Steps of the Scientific Method

6 I. PROBLEM l The question that we are trying to answer or investigate.

7 II. HYPOTHESIS l A possible answer to our problem. An educated guess that relates back to our question or problem.

8 III. Experimental Design l A written plan describing how to set up an experiment to answer the problem. l Control Group l Experimental Group(s)

9 Note: l You data must be measurable and quantifiable l Your experiment must pertain to your hypothesis

10 IV. Data l This is information that we receive from our experiment. l We can use any of our five senses to obtain data to help us answer the question from our PROBLEM.

11 V. Interpreting the Data l This is where we give meaning to the data that was recorded. l Explain l Clarify l Summarize

12 VI. Conclusions l This step compares the hypothesis with the interpretation statement. l Hypothesis is Supported l Hypothesis is Contradicted (not supported) l Hypothesis is Not Supported

13 3.Design an experiment. How would you define an experiment? It is a test of a hypothesis.

14 Purpose or Question “problem" Controlled Variable(s) (constant across treatments) Hypothesis Responding Variable (measurement) manipulated Variable Procedure “methods” Treatments “may include a control” Prediction

15 Responding Variable ( dependant ) l The variable that you are measuring.(it is what you count or record in your data table). l Examples?

16 Manipulated Variable (Independent) lTlThe variable that you vary (manipulate) during the experiment. l It is the variable that you think will affect the responding variable.

17 Treatments l Appropriate levels (values) that you assign to the independent variable. l Examples?

18 Controlled Variable(s) l All independent variables other than the one being studied that are to be held constant.

19 Controlled Group A test subject in which the manipulated value is not applied

20 Do we run the experiment now ? l NO!

21 4. A prediction needs to be made before you run the experiment. What is a prediction? l A prediction is the expected result of an experiment (your “educated guess”). Usually it takes the form of an “if  then” statement. l Your prediction has to be based on your hypothesis.

22 5. Collect data. What is data? l It is the actual results of your experiment. (not the character on Star Trek)

23 6. Form a conclusion. What is a conclusion? l A conclusion is a statement on whether your hypothesis is supported or not. l If your data = your prediction, then your hypothesis is supported. l If your data = your prediction, then your hypothesis is not supported.

24 DOMAINCOMPLETE FORMAT  FDQ  On-time  Complete (all sections included/in-order) HYPOTHESIS  Problem  Variables (M/R/2C)  If-Then-Because/Cause-Effect-Reason RAW DATA  Data Table (all required data present)  Precision  Units GRAPHICAL ANALYSIS  Title (.5)  Labeled Axes (.5)  Units present (.5)  Proper spacing of X & Y axis values (.5) PROCESSED DATA  Interp. Questions CONCLUSION  Restated Hypothesis  Errors (3x)  Improvements (3x) TOTAL SCORE (N/15)

25 1. FORMAT l FDQ. Final Draft Quality. Is it presented on clean white paper, with no tears, rips or spiral-bound “fringe”? Is the text written in dark blue or black ink? Are there 1” margins on all four sides of the paper? Is it single-sided? Are there no more than two single mistakes per page (misspellings, ink- smears, words white-out, grammatical errors, etc.)? l On-time. Work is ready for grading and turn in when required. l Complete. All write-up sections are included and in the correct order.

26 2. HYPOTHESIS l Problem. What is the problem (or guiding question) requiring the experiment? l Variables (M/R/2C). The manipulated (independent) variable, responding (dependent) variable, and not less than two controlled variables are clearly identified. l If-Then-Because (Cause-Effect-Reason). The hypothesis is formatted to clearly show the relationship between the stated manipulated variable, responding variable.

27 3. RAW DATA l Data Table. The minimum required (or specified) amount of data is included. This generally means not less than three trials for the control and each test. l Precision. All data must be expressed to the appropriate degree of precision according to the measurement tools used to collect the data. Remember – data cannot be expressed at a degree of precision greater than the least-precise measurement. l Units. All appropriate units must be included and expressed clearly.

28 4. PROCESSED DATA l Graphical Analysis. Graphs must be clear and appropriate. This includes: graph clearly titled; x- axis labeled; x-axis proportionally drawn; y-axis labeled; y-axis proportionally drawn; data plotted cleanly and accurately. Line graphs will be used unless otherwise directed. l Interp. Questions. All of the interpretation questions assigned must be answered. Partial, incomplete of unclear responses will NOT receive credit. l NOTE: You will be creating interpretations of your data for your semester project. You will create the topics that are discussed.

29 5. CONCLUSION l Restated Hypothesis. The hypothesis is restated, and identified as having been SUPPORTED by the data, NOT SUPPORTED by the data, or as being INCONCLUSIVE (can’t tell). A concise justification is included, identifying the key evidence supporting the conclusion. (Be brief, and be specific.) l Errors (3x). Identify not less than three specific points, measurements or items which could be improved to increase the quality or validity of your results. l Improvements. Refer to your Errors (5.b. above) and detail what specific changes you would make to correct the identified errors.

30

31 The END


Download ppt "The Scientific Method The process of solving problems."

Similar presentations


Ads by Google