Driving Behavioral Change for Information Management through Data-Driven Gree...
Chapter 1 section 2 ppt
1. Solving Problems—Identify
the Problem
• Although the investigation of each problem
is different, scientists use some steps in all
investigations.
• Scientists first make sure that everyone
working to solve the problem has a clear
understanding of the problem.
• Sometimes, scientists find that the problem is
easy to identify or that several problems need
to be solved.
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2. How can the problem be solved?
• Two of the methods used to answer
questions are descriptive research and
experimental research design.
• Descriptive research answers scientific
questions through observation.
• Experimental research design is used to
answer scientific questions by testing a
hypothesis through the use of a series of
carefully controlled steps.
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3. How can the problem be solved?
• Scientific methods
are ways, or steps to
follow, to try to
solve problems.
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4. Descriptive Research
• Some scientific problems can be solved, or
questions answered, by using descriptive
research.
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• Descriptive research is based mostly on
observations.
• Descriptive research can be used in
investigations when experiments would be
impossible to perform.
• Descriptive research usually involves the
following steps.
5. State the Research Objective
• This is the first step
in solving a problem
using descriptive
research.
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• A research objective is what you want to
find out, or what question you would like
to answer.
6. Describe the Research Design
• How will you carry out your investigation?
How will the data be recorded and analyzed?
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• An important part
of any research
design is safety. Click image to view movie.
• These are a few of the things scientists think
about when they
design an
investigation using
descriptive research.
7. Eliminate Bias
• Sometimes, scientists might expect certain
results. This is known as bias.
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• Good investigations avoid bias.
• One way to avoid bias is to use careful
numerical measurements for all data.
• Another type of bias can occur in surveys
or groups that are chosen for investigations.
• To get an accurate result, you need to use a
random sample.
8. Equipment, Materials, and Models
• When a scientific problem is solved by
descriptive research, the equipment and
materials used to carry out the investigation
and analyze the data are important.
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9. Using Models
• One part of carrying out the investigation
plan might include making or using scientific
models.
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• In science, a model represents things that
happen too slowly, too quickly, or are too
big or too small to observe directly.
• Models also are useful in situations in which
direct observation would be too dangerous or
expensive.
10. Using Models
• Dr. John Snow’s map of the cholera
epidemic was a model that allowed him to
predict possible sources of the epidemic.
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• Many kinds of models are made on
computers.
• Graphs, tables, and spreadsheets are models
that display information.
11. Scientific Methods
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• This allows them to
understand each
other’s research and
compare results.
• Scientists around the world use a system of
measurements called the International
System of Units, or SI,
to make observations.
12. Scientific Methods
• Because SI uses certain metric units that are
based on units of ten, multiplication and
division are easy to do.
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• Prefixes are used
with units to change
their names to larger
or smaller units.
13. Data—Designing Your Data Tables
• A well-planned investigation includes ways to
record results and observations accurately.
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• Data tables are one way to do this.
14. Analyze Your Data
• Your data must be organized to analyze them.
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• Charts and graphs are excellent ways to
organize data.
• You can draw the charts and graphs or use a
computer to make them.
15. Draw Conclusions
• After you have organized your data, you are
ready to draw a conclusion.
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• Sometimes, your data are not what you
expected, but remember, scientists understand
that it is important to know when something
doesn’t work.
• A successful investigation is not always the
one that comes out the way you originally
predicted.
16. Communicating Your Results
• Every investigation begins because a problem
needs to be solved.
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• Analyzing data and drawing conclusions are
the end of the investigation.
• Usually, scientists communicate their results
to other scientists, government agencies,
private industries, or the public.
• Scientists usually publish their most
important findings.
17. Communicating Your Results
• You can communicate your data and
conclusions to other members of your
science class.
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• Organized data and careful analysis will
enable you to answer most questions and
to discuss your work confidently.
• Analyzing and sharing data are important
parts of descriptive and experimental research.
18. Experimental Research Design
• Another way to solve scientific problems is
through experimentation.
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• Experimental research design answers
scientific questions by observation of a
controlled situation.
• Experimental
research design
includes several
steps.
19. Form a Hypothesis
• A hypothesis (hi PAH thuh sus) is a
prediction, or statement, that can be tested.
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• You use your prior knowledge, new
information, and any
previous observations
to form a hypothesis.
20. Variables
• In well-planned experiments, one factor, or
variable, is changed at a time.
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• This means that the variable is controlled.
• The variable that is changed is called the
independent variable.
• A dependant variable is the factor being
measured.
21. Variables
• To test which of two antibiotics will kill a
type of bacterium, you must make sure that
every variable remains the same but the type
of antibiotic.
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• The dependant variable is
the growth of the bacteria.
• In this experiment, the independent variable is
the amount or type of
antibiotic applied to the
bacteria.
22. Variables
• The variables that stay the same are called
constants.
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• You cannot run the experiments at two
different room temperatures, for different
lengths of time, or with different amounts
of antibiotics.
23. Identify Controls
• Your experiment
will not be valid
unless a control is
used.
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• A control is a sample that is treated like the
other experimental groups except that the
independent variable is not applied to it.
24. Identify Controls
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• In the experiment
with antibiotics,
your control is a
sample of bacteria
that is not treated
with either
antibiotic.
• The control shows how the bacteria grow
when left untreated by either antibiotic.
25. Identify Controls
• Once you begin an experiment, make sure
to carry it out as planned.
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• Don’t skip or change steps in the middle.
• Also, you should record your observations
and complete your data tables in a timely
manner.
• Incomplete observations and reports result
in data that are difficult to analyze and
threaten the accuracy of your conclusions.
26. Number of Trials
• Experiments done the same way do not
always have the same results.
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• To make sure that your results are valid,
you need to conduct several trials of your
experiment.
• Multiple trials mean that an unusual outcome
of the experiment won’t be considered the
true result.
• The more trials you do using the same
methods, the more likely it is that your
results will be reliable and repeatable.
27. Analyze Your Results
• When you analyze your results, you can see
if your data support your hypothesis.
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• If the data do not support your original
hypothesis, you can still learn from the
experiment.
• Experiments that don’t work out as you had
planned can still provide valuable information.
• Professional scientists rarely have results that
support their hypothesis without completing
numerous trials first.
28. Analyze Your Results
• After your results are analyzed, you can
communicate them to your teacher and
your class.
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• Sharing the results of experiments allows
you to hear new ideas from other students
that might improve your research.
• Your results might contain information that
will be helpful to other students.
Hinweis der Redaktion
Cinda, these next two were supposed to be on one slide, but they obviously didn’t fit. I’m not sure where the picture should go.