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Scientific Method.

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Presentation on theme: "Scientific Method."— Presentation transcript:

1 Scientific Method

2 Steps in the Scientific Method
State the Problem Collect Information Form Hypothesis Experiment – test hypothesis Observe Record & Analyze Data Write Conclusion Retest

3 Observations Gathered through your senses
A scientist notices something in their natural world

4 Observations An example of an observation might be noticing that many salamanders near a pond have curved, not straight, tails

5 Hypothesis A suggested solution to the problem. Must be testable
Sometimes written as If…Then… statements Predicts an outcome

6 Hypothesis An example of a hypothesis might be that the salamanders have curved tails due to a pollutant in the moist soil where they live.

7 A procedure to test the hypothesis.
Experiment A procedure to test the hypothesis.

8 Variable – factor in the experiment that is being tested

9 A good or “valid” experiment will only have ONE variable!

10 Controls and Variables

11 Scientific Experiments Follow Rules
An experimenter changes one factor and observes or measures what happens.

12 The Control Variable The experimenter makes a special effort to keep other factors constant so that they will not affect the outcome. Those factors are called control variables.

13 What is the Purpose of a Control?
Controls are NOT being tested Controls are used for COMPARISON

14 Other Variables The factor that is changed is known as the independent variable. The factor that is measured or observed is called the dependent variable.

15 Example of Controls & Variables
For example, suppose you want to figure out the fastest route to walk home from school. You will try several different routes and time how long it takes you to get home by each one. Since you are only interested in finding a route that is fastest for you, you will do the walking yourself.

16 What are the Variables in Your Experiment?
Varying the route is the independent variable The time it takes is the dependent variable Keeping the same walker throughout makes the walker a control variable.

17 One more thing… it is best to make several trials with each independent variable.

18 Valid Experiments

19 Remember: To be a Valid Experiment:
Two groups are required --- the control & experimental groups There should be only one variable

20 Data Results of the experiment
May be quantitative (numbers) or qualitative

21 Data Quantitative Qualitative Deals with numbers.
Data which can be measured. Length, height, area, volume, weight, speed, time, temperature, humidity, sound levels, cost, members, ages, etc. Quantitative → Quantity  Deals with descriptions. Data can be observed but not measured. Colors, textures, smells, tastes, appearance, beauty, etc. Qualitative → Quality

22 Data Quantitative Qualitative Example: Latte Example: Latte
12 ounces of latte serving temperature 150º F. serving cup 7 inches in height cost $4.95 Example: Latte robust aroma frothy appearance strong taste burgundy cup

23 Data Must be organized Can be organized into charts, tables, or graphs

24 Conclusion The answer to the hypothesis based on the data obtained from the experiment

25 In order to verify the results, experiments must be retested.

26 To Review

27 Solving a Problem 1)Identify a Problem
2) State Observations about the problem 3) Form a Hypothesis about the problem (if…then…) 4) Design an Experiment to test the hypothesis 5) Collect Data 6) Form a Conclusion 7) Retest

28 One way to remember it….. People (Problem) Often (Observation)
Hear (Hypothesis) Every (Experiment) Dark (Data) Cloud (Conclusion) Rains (Retest)

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