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# Teacher Scientific Method

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## Kimberly Mancuso

on 14 August 2017

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#### Transcript of Teacher Scientific Method

The Scientific Method
State A Problem
Research
Form A Hypothesis
Experiment
Conclusion
Analyze Data
Inference vs. Observation
Inference: Based on Textual information & Prior Knowledge

Observation: based only on what you SEE, not what you expect to see!
Control Set-Up
This is the set-up being used for comparison.
This will be the opposite of what you are testing for!
EX: Will steroids affect the growth of a rabbit?
Control Set-Up: Rabbit without steroids
Dependent vs Independent
Dependent vs Independent
Variables
Dependent: What is changed/manipulated in an experiment

Independent: What is affected by the change (Independent). It is what we actually test for. What is measured!
Data Collection
Practice Problems
Constant
This what remains CONSTANT throughout the experiment

EX: Same amount of water, same amount of light, etc.
Includes the purpose of the experiment.
A Good Scientific Question
has REAL ANSWERS, often as simple as a YES or a NO
is TESTABLE {You can design an experiment/take measurements in order to find the answer}
has a hypothesis which can be proven as false
asks if the independent variable actually affects the dependent variable
Good Scientific Questions
Will studying every night increase a student's test average?
Why do people litter in the park?
Hard to test: Many reasons! Which do you pick? Many variables {homeless, careless, lazy, etc.}
nothing to prove wrong
no variables identifiable
can be tested
can be proven wrong
independent variable: studying every night
dependent variable: increase a student's test average
A Good Hypothesis:
restates the scientific question
EXCLUDES all personal opinions (i think, maybe, in my opinion)
based upon research, NOT PERSONAL OPINIONS!!
Independent VS. Dependent
variable changed by the experimenter
is not affected by anything
is INDEPENDENT!
variable measured
what is being tested in the question & hypothesis
IS affected by the independent variable
Data
Collection
Quantitative
Qualitative
numbers
quality
Examples:
measurements
quantity
height
width
anything with a #!
Examples:
color
smell
shape
texture
Analyzing Data
include ALL data collected in a chart of some form
PUT the chart into words
Analyzing Data Example
This graph shows a positive relationship between the number of hours studied versus the test score achieved. As the hours studying increases, so do the test scores.
Conclusion
restates the hypothesis
identifies whether it is proven wrong or not proven wrong
NEVER say "I was correct!"
uses the data to explain why it was proven as wrong or not proven as wrong
Studying every night does affect the test score. According to the data, if a person studies fewer hours a lower grade is achieved while if that person studies more hours, a higher grade is achieved. In order to achieve an average test score of 80%, a person would need to study between 20-30 hours. While this is not possible in one sitting, it is possible to study this amount of hours over several days, or every night. In conclusion, the number hours studied is positively correlated to the test grade earned.
Conclusion Example
Press Play
Studying does affect test scores...

Independent Variable

Dependent Variable
Example:
Experimental Set-Up
This is the set-up you are actually testing.
EX: Will steroids affect the growth of a rabbit?
Experimental Set-Up: Rabbit WITH steroids
DONE!
FINALLY
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