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Page 1
Introduction to Science
and the Scientific Method
© Amy Brown Science
Page 2
What is Science?
The goal of science is to investigate
and understand the natural world, to
explain events in the natural world, and
to use those explanations to make
useful predictions.
1. Science deals only
with the natural world.
2. Scientists:
collect and organize
information in a careful,
orderly way, looking for
patterns and
connections between
events.
3. Scientists propose
___________ that
can be _____ by
examining evidence.
explanations
tested
4. Science is an
organized way of using
evidence to learn about
the natural world.
Page 3
How is Science Done?
Science begins with
an __________.
This is the process of
gathering information
about events or
processes in a careful,
orderly way.
observation
Data is the information gathered from making
observations.
Page 4
There are two types of data:
Quantitative data are: numbers and are
obtained by counting
or measuring.
Qualitative data are:
descriptions
and involve
characteristics
that cannot be
counted.
Page 5
A hypothesis is a
scientific explanation
for a set of
observations.
A hypothesis must be
stated in a way that
makes it “testable”.
The hypothesis is just
a possible answer to a
question, and it must
be thoroughly tested.
Page 6
Scientific Methods
The scientific method is:
A series of steps used by scientists to
solve a problem or answer a question.
The Steps to the Scientific Method:
1. Observation / Asking a Question
2. Form a Hypothesis
3. Design a Controlled Experiment
4. Record and Analyze Results
5. Draw Conclusions
Page 7
Step 1:
Observation / Asking a
Question
Step 2: Form a Hypothesis
A problem or a question
must first be identified.
How much water can a root
hair absorb?
Why does a plant stem bend
toward the light?
What effect does temperature
have on heart rate?
Hypothesis
A possible explanation
to the question or
problem.
It is simply a prediction and has
not yet been proven or disproven.
It must be stated in a
way that is testable.
A statement is
considered “testable”
if evidence can be
collected that either
does or does not
support it.
Page 8
Step 3: Designing a Controlled
Experiment
1. The factors in an experiment that can be changed are called
variables. Some examples of variables would be: Changing the
temperature, the amount of light present, time, concentration of
solutions used.
2. A controlled experiment works with one variable at a time. If
several variables were changed at the same time, the scientist
would not know which variable was responsible for the observed
results.
3. In a “controlled experiment” only one variable is changed at a time. All other variables should
be unchanged or “controlled.”
4. An experiment is based on the comparison between a _____________ with an
__________________.
control group
experimental group
a) These two groups are identical except for one factor.
b) The control group serves as the comparison. It is the same as
the experiment group, except that the one variable that is
being tested is removed.
c) The experimental group shows the effect of the variable that is
being tested.
Page 9
Example: In order to test the
effectiveness of a new vaccine, 50
volunteers are selected and divided
into two groups. One group will be the
control group and the other will be the
experimental group. Both groups are
given a pill to take that is identical in
size, shape, color and texture.
Describe the control group.
Describe the experimental group.
What variables are kept constant?
What variable is being changed?
Even though the volunteers are given identical
looking pills, the control group will not actually
receive the vaccine.
This group will receive the vaccine.
The size, shape, color, and texture of
the pill.
Whether or not the pill contains the
vaccine.
Page 10
There are two variables in an experiment:
a) The independent
variable is the
variable that is
deliberately
changed by the
scientist.
b) The dependent variable is
the one observed during
the experiment. The
dependent variable is the
data we collect during the
experiment. This data is
collected as a result of
changing the independent
variable.
c) In the above example,
what is the
independent variable?
It is the addition of the
vaccine to the pills that
were given to the
volunteers.
d) In the above example,
what is the dependent
variable?
The observed health
of the people
receiving the pills.
Page 11
Step 4: Recording and Analyzing Results
1. The data that has been collected must be
organized and analyzed to determine whether it
is reliable.
2. Does the
data support
or not
support the
hypothesis?
Page 12
Step 5: Drawing Conclusions
The evidence from the experiment is used to
determine if the hypothesis is supported or not
supported.
Experiments must be
repeated over and
over. When repeated,
the results should
always be the same
before a valid
conclusion can be
reached.
Page 13
Forming a Theory
A theory may
be formed
after the
hypothesis
has been
tested many
times and is
supported by
much
evidence.
Theory:
A broad and
comprehensive
statement of
what is thought
to be true.
A theory is
supported by
considerable
evidence.
Page 14
You want to determine the effect
of a certain fertilizer on the
growth of orchids grown in a
greenhouse. Materials that are
available to you include:
greenhouse, 100 orchid plants,
water, fertilizer, and soil. You
want to know if the orchids will
grow best with a weak
concentration of fertilizer, a
medium concentration of fertilizer,
or a high concentration of
fertilizer. How will you design an
experiment to test different
concentrations of this fertilizer?
State your hypothesis:
Possible answer:
I predict that the
orchids will grow best
with a medium
concentration of
fertilizer.
Page 15
How will you set up a controlled experiment?
Here is one possibility:
The 100 plants will be divided into 4
groups as follows:
The plants will be
watered daily.
Over a period of a
month, the plants
will be measured
to see which ones
grew the tallest.
Group 1: 25 plants will receive plain water.
Group 2: 25 plants will receive a weak
concentration of fertilizer.
Group 3: 25 plants will receive a medium
concentration of fertilizer.
Group 4: 25 plants will receive a high
concentration of fertilizer.
Page 16
Control Group Experimental Group
What is the control
group in this
experiment?
The control group
consists of the 25 plants
that are receiving plain
water.
What is the experimental
group in this experiment?
The experimental group
consists of the 75 plants
that are receiving various
concentrations of
fertilizer.
Page 17
In a “controlled experiment”, all variables must be kept constant
except the one variable that is being changed.
What variables must be kept
constant in this experiment?
 All plants must receive the same amount of
fluid each day.
 All plants are grown in pots of equal size.
 All plants are grown at the same temperature.
 All plants receive the same amount of
sunlight.
What variable is being changed in this experiment?
The variable being changed is the amount of fertilizer
received by each group of plants.
Page 18
Group 1 (Control Group): Grew to an average height of 15 cm.
Group 2 (Weak conc.): Grew to an average height of 35 cm.
Group 3 (Medium conc.): Grew to an average height of 28 cm.
Group 4 (High conc.): Grew to an average height of 10 cm.
Is your hypothesis supported or not supported
by these results?
We hypothesized that the orchids would grow
best with a medium concentration of fertilizer.
The results do not support this.
The results do not support our hypothesis.
Page 19
Group 1 (Control Group): Grew to an average height of 15 cm.
Group 2 (Weak conc.): Grew to an average height of 35 cm.
Group 3 (Medium conc.): Grew to an average height of 28 cm.
Group 4 (High conc.): Grew to an average height of 10 cm.
What is your conclusion based on these
results?
 Orchids grow best with a weak
concentration of fertilizer.
 At medium to high concentrations, plant
growth is inhibited.
Page 20
Analysis Questions
Why is it important to have a large sample
size in any experiment?
It is important to test a large sample
in order to get a true picture of the
results of the experiment. If the
sample size is too small, an
inaccurate conclusion may be
reached. Results obtained by
testing a large number of
individuals would be much more
accurate than if only a few
individuals had been tested.
Page 21
Analysis Questions
Why is it important to repeat the
experiment many times?
Experiments should be
repeated to see if the
same results are
obtained each time. This
gives validity to the test
results.
Page 22
Analysis Questions
What is the importance of the control?
The control shows what will
happen when the
experimental factor is omitted.
Without the control, there
would be no basis for
comparison and you would
not know how the
experimental factor affected
the results.
Page 23
Analysis Questions
How is a theory different than a
hypothesis?
A hypothesis is an “educated
guess” that is testable through
observations and experimentation.
A theory is a broad statement of
what is believed to be true based
on many experiments and
considerable amounts of data.
Page 24
Analysis Questions
Why is it so important that a scientist
accurately describes the procedure
used in the experiment?
It allows other
scientists to repeat
the experiment and
verify the results.
Page 25
Analysis Questions
What is the difference between the
independent and the dependent
variables in an experiment?
The independent variable is the
variable that is deliberately changed
by the scientist. The dependent
variable is the one observed during
the experiment. The dependent
variable is the data we collect during
the experiment.
Page 26
Analysis Questions
In a “controlled experiment”, why must
all of the variables, except one, be kept
constant throughout the experiment?
If several variables were
changed at the same time, the
scientist would not know which
variable was responsible for the
observed results.
Page 27
Created by Amy Brown
Copyright © Amy Brown Science
All rights reserved by author.
This document is for your
classroom use only.
This document may not be
electronically distributed or posted
to a web site.

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Scientific method power point

  • 1. Page 1 Introduction to Science and the Scientific Method © Amy Brown Science
  • 2. Page 2 What is Science? The goal of science is to investigate and understand the natural world, to explain events in the natural world, and to use those explanations to make useful predictions. 1. Science deals only with the natural world. 2. Scientists: collect and organize information in a careful, orderly way, looking for patterns and connections between events. 3. Scientists propose ___________ that can be _____ by examining evidence. explanations tested 4. Science is an organized way of using evidence to learn about the natural world.
  • 3. Page 3 How is Science Done? Science begins with an __________. This is the process of gathering information about events or processes in a careful, orderly way. observation Data is the information gathered from making observations.
  • 4. Page 4 There are two types of data: Quantitative data are: numbers and are obtained by counting or measuring. Qualitative data are: descriptions and involve characteristics that cannot be counted.
  • 5. Page 5 A hypothesis is a scientific explanation for a set of observations. A hypothesis must be stated in a way that makes it “testable”. The hypothesis is just a possible answer to a question, and it must be thoroughly tested.
  • 6. Page 6 Scientific Methods The scientific method is: A series of steps used by scientists to solve a problem or answer a question. The Steps to the Scientific Method: 1. Observation / Asking a Question 2. Form a Hypothesis 3. Design a Controlled Experiment 4. Record and Analyze Results 5. Draw Conclusions
  • 7. Page 7 Step 1: Observation / Asking a Question Step 2: Form a Hypothesis A problem or a question must first be identified. How much water can a root hair absorb? Why does a plant stem bend toward the light? What effect does temperature have on heart rate? Hypothesis A possible explanation to the question or problem. It is simply a prediction and has not yet been proven or disproven. It must be stated in a way that is testable. A statement is considered “testable” if evidence can be collected that either does or does not support it.
  • 8. Page 8 Step 3: Designing a Controlled Experiment 1. The factors in an experiment that can be changed are called variables. Some examples of variables would be: Changing the temperature, the amount of light present, time, concentration of solutions used. 2. A controlled experiment works with one variable at a time. If several variables were changed at the same time, the scientist would not know which variable was responsible for the observed results. 3. In a “controlled experiment” only one variable is changed at a time. All other variables should be unchanged or “controlled.” 4. An experiment is based on the comparison between a _____________ with an __________________. control group experimental group a) These two groups are identical except for one factor. b) The control group serves as the comparison. It is the same as the experiment group, except that the one variable that is being tested is removed. c) The experimental group shows the effect of the variable that is being tested.
  • 9. Page 9 Example: In order to test the effectiveness of a new vaccine, 50 volunteers are selected and divided into two groups. One group will be the control group and the other will be the experimental group. Both groups are given a pill to take that is identical in size, shape, color and texture. Describe the control group. Describe the experimental group. What variables are kept constant? What variable is being changed? Even though the volunteers are given identical looking pills, the control group will not actually receive the vaccine. This group will receive the vaccine. The size, shape, color, and texture of the pill. Whether or not the pill contains the vaccine.
  • 10. Page 10 There are two variables in an experiment: a) The independent variable is the variable that is deliberately changed by the scientist. b) The dependent variable is the one observed during the experiment. The dependent variable is the data we collect during the experiment. This data is collected as a result of changing the independent variable. c) In the above example, what is the independent variable? It is the addition of the vaccine to the pills that were given to the volunteers. d) In the above example, what is the dependent variable? The observed health of the people receiving the pills.
  • 11. Page 11 Step 4: Recording and Analyzing Results 1. The data that has been collected must be organized and analyzed to determine whether it is reliable. 2. Does the data support or not support the hypothesis?
  • 12. Page 12 Step 5: Drawing Conclusions The evidence from the experiment is used to determine if the hypothesis is supported or not supported. Experiments must be repeated over and over. When repeated, the results should always be the same before a valid conclusion can be reached.
  • 13. Page 13 Forming a Theory A theory may be formed after the hypothesis has been tested many times and is supported by much evidence. Theory: A broad and comprehensive statement of what is thought to be true. A theory is supported by considerable evidence.
  • 14. Page 14 You want to determine the effect of a certain fertilizer on the growth of orchids grown in a greenhouse. Materials that are available to you include: greenhouse, 100 orchid plants, water, fertilizer, and soil. You want to know if the orchids will grow best with a weak concentration of fertilizer, a medium concentration of fertilizer, or a high concentration of fertilizer. How will you design an experiment to test different concentrations of this fertilizer? State your hypothesis: Possible answer: I predict that the orchids will grow best with a medium concentration of fertilizer.
  • 15. Page 15 How will you set up a controlled experiment? Here is one possibility: The 100 plants will be divided into 4 groups as follows: The plants will be watered daily. Over a period of a month, the plants will be measured to see which ones grew the tallest. Group 1: 25 plants will receive plain water. Group 2: 25 plants will receive a weak concentration of fertilizer. Group 3: 25 plants will receive a medium concentration of fertilizer. Group 4: 25 plants will receive a high concentration of fertilizer.
  • 16. Page 16 Control Group Experimental Group What is the control group in this experiment? The control group consists of the 25 plants that are receiving plain water. What is the experimental group in this experiment? The experimental group consists of the 75 plants that are receiving various concentrations of fertilizer.
  • 17. Page 17 In a “controlled experiment”, all variables must be kept constant except the one variable that is being changed. What variables must be kept constant in this experiment?  All plants must receive the same amount of fluid each day.  All plants are grown in pots of equal size.  All plants are grown at the same temperature.  All plants receive the same amount of sunlight. What variable is being changed in this experiment? The variable being changed is the amount of fertilizer received by each group of plants.
  • 18. Page 18 Group 1 (Control Group): Grew to an average height of 15 cm. Group 2 (Weak conc.): Grew to an average height of 35 cm. Group 3 (Medium conc.): Grew to an average height of 28 cm. Group 4 (High conc.): Grew to an average height of 10 cm. Is your hypothesis supported or not supported by these results? We hypothesized that the orchids would grow best with a medium concentration of fertilizer. The results do not support this. The results do not support our hypothesis.
  • 19. Page 19 Group 1 (Control Group): Grew to an average height of 15 cm. Group 2 (Weak conc.): Grew to an average height of 35 cm. Group 3 (Medium conc.): Grew to an average height of 28 cm. Group 4 (High conc.): Grew to an average height of 10 cm. What is your conclusion based on these results?  Orchids grow best with a weak concentration of fertilizer.  At medium to high concentrations, plant growth is inhibited.
  • 20. Page 20 Analysis Questions Why is it important to have a large sample size in any experiment? It is important to test a large sample in order to get a true picture of the results of the experiment. If the sample size is too small, an inaccurate conclusion may be reached. Results obtained by testing a large number of individuals would be much more accurate than if only a few individuals had been tested.
  • 21. Page 21 Analysis Questions Why is it important to repeat the experiment many times? Experiments should be repeated to see if the same results are obtained each time. This gives validity to the test results.
  • 22. Page 22 Analysis Questions What is the importance of the control? The control shows what will happen when the experimental factor is omitted. Without the control, there would be no basis for comparison and you would not know how the experimental factor affected the results.
  • 23. Page 23 Analysis Questions How is a theory different than a hypothesis? A hypothesis is an “educated guess” that is testable through observations and experimentation. A theory is a broad statement of what is believed to be true based on many experiments and considerable amounts of data.
  • 24. Page 24 Analysis Questions Why is it so important that a scientist accurately describes the procedure used in the experiment? It allows other scientists to repeat the experiment and verify the results.
  • 25. Page 25 Analysis Questions What is the difference between the independent and the dependent variables in an experiment? The independent variable is the variable that is deliberately changed by the scientist. The dependent variable is the one observed during the experiment. The dependent variable is the data we collect during the experiment.
  • 26. Page 26 Analysis Questions In a “controlled experiment”, why must all of the variables, except one, be kept constant throughout the experiment? If several variables were changed at the same time, the scientist would not know which variable was responsible for the observed results.
  • 27. Page 27 Created by Amy Brown Copyright © Amy Brown Science All rights reserved by author. This document is for your classroom use only. This document may not be electronically distributed or posted to a web site.