Title: Review of the Scientific Method
1Review of the Scientific Method
- "The scientific method is nothing but the normal
working of the human mind." - Thomas Huxley
2What is the Scientific Method?
- The scientific method is a planned, logical,
approach taken to solving a problem - It consists of asking a question, developing a
possible solution, testing the possible solution,
recording data, and analyzing results
3Steps of the Scientific Method
- The basic scientific method consists of five
broad steps - Identifying the problem or question
- Developing a possible solution, or hypothesis
- Designing and executing a test
- Collection and analysis of data
- The formulation of a conclusion
4Identifying the Problem or Question
- Identify a problem to be solved or a questioned
to be answered. - To be scientifically valid, questions or problems
must be falsifiable. - Usually scientists collect information about a
problem or question, before positing a possible
solution. - The possible solution to a scientific problem or
question is known as a hypothesis
5The Hypothesis
- A hypothesis is a possible solution to a
scientific problem or question. - To be valid a hypothesis must be testable
- Ex. Which of the following are valid hypotheses?
- The sky is blue due to the reflection of
sunlight off the Earths oceans. - The sky is blue due to the scattering of blue
light by oxygen in the atmosphere. - The sky is blue because a higher being made
it that way. -
6Procedure What is an Experiment?
- An experiment is a test designed to prove or
disprove a hypothesis - Experimental Design involves
- Establishing controlled and uncontrolled
variables - Establishing the independent and dependent
variables. - Experiments generate data which scientists record
in tables, etc.
7Collecting and Analyzing Data
- Data collection occurs as an experiment proceeds.
- Usually data is numerical in form
- However, during an experiment observations may be
made that can include temperature changes, the
formation of gas bubbles, changes in color, etc.
8Analysis of Data
- Numerical Data is usually analyzed by determining
the mean, median, and mode. - Numerical data is often graphed as a means of
visually determining relationships between
variables.
9Conclusions
- After the data is analyzed a determination must
be made as to whether the data supports or
refutes the hypothesis. - If the data supports the hypothesis
- If the data refutes the hypothesis
- If the data is indeterminate
10An Example of Experimental Design
-
- Francesco Redi
- Tests the Theory of
- Spontaneous
- Generation
11Background Spontaneous Generation
- Until the seventeenth century experimentation was
treated as an art rather than science. - Many strange, and now discredited, ideas about
how living organisms are propagated flourished. - The theory of spontaneous generation was a very
popular, ancient theory used to explain the
seeming production of many animals from
non-living materials.
12Example One
- Observation Every year in the spring, the Nile
River flooded areas of Egypt along the river,
leaving behind nutrient-rich mud that enabled the
people to grow that years crop of food. However,
along with the muddy soil, large numbers of frogs
appeared that werent around in drier times. - Conclusion It was perfectly obvious to ancient
peoples that the muddy soil gave rise to the
frogs.
13Example Two
- Observation In many parts of Europe, medieval
farmers stored grain in barns with thatched
roofs. As a roof aged, it was not uncommon for it
to start leaking. This could lead to spoiled or
moldy grain, and of course there were lots of
mice around. - Conclusion It was obvious to them that the mice
came from the moldy grain.
14Example Three
- Observation Since there were no refrigerators,
the mandatory, daily trip to the butcher shop,
especially in summer, meant battling the flies
around the carcasses. Typically, carcasses were
hung by their heels, and customers selected
which chunk the butcher would carve off for them.
Many times they would have to remove maggots from
the putrefying meat. - Conclusion Obviously, the rotting meat that had
been hanging in the sun all day was the source of
the maggots and flies
15Redis Experiment
- Francesco Redi (1626-1697), an Italian scientist,
thought that the Theory of spontaneous Generation
was incorrect. - In 1668 he designed what is thought to be the
first experiment explicitly designed via the
scientific method. - The experiment tested the idea that maggots, and
therefore flies, are generated spontaneously from
rotting meat.
16Redis Problem and Hypothesis
- Observation There are flies around meat
carcasses at the butcher shop. - Question Where do the flies come from? Does
rotting meat turn into, or generate, the flies? - Hypothesis Rotten meat does not turn into flies.
Only flies can make more flies. - Prediction If meat cannot turn into flies,
rotting meat in a sealed (fly-proof) container
should not produce flies or maggots.
17Redis Test and Observations
Data Presence or absence of flies and maggots
observed in each jar was recorded. In the control
group of jars, flies were seen entering the jars.
Later, maggots, then more flies were seen on the
meat. In the gauze-covered jars, no flies were
seen in the jars, but were observed around and on
the gauze, and later a few maggots were seen on
the meat. In the sealed jars, no maggots or flies
were ever seen on the meat.
18Redis Conclusions
- Only flies can make more flies.
- In the uncovered jars, flies entered and laid
eggs on the meat. Maggots hatched from these eggs
and grew into more adult flies. - Adult flies laid eggs on the gauze on the
gauze-covered jars. Maggots appeared on the
gauze. - In the sealed jars, no flies, maggots, nor eggs
could enter, thus none were seen in those jars. - Maggots arose only where flies were able to lay
eggs. This experiment disproved the idea of
spontaneous generation for larger organisms.
19Controlled Versus Uncontrolled Variables
- A controlled variable is any factor in an
experiment that is kept the same in all trials of
the experiment. - Controlled variables are more commonly known as
Constants. - Uncontrolled variables are those factors in an
experiment that are allowed, or chosen, to change
during the experiment. - There are two types of uncontrolled variables
Independent and Dependent
20Independent versus Dependent Variables
- The independent variable (aka manipulated
variable) is the factor in an experiment that is
chosen, or manipulated by the experimenter. - What was the independent variable in Redis
experiment? - The dependent variable (aka responding or
measured variable) in an experiment is the factor
that changes or responds to changes in the
independent variable. - What was the dependent variable in Redis
experiment?
21Control Group versus Experimental Group
- The control group in an experiment is the set of
tests in which nothing was manipulated by the
experimenter. - The control group is the standard by which all
changes in the manipulated tests are measured. - What was the control group in Redis experiment?
- The experimental group in an experiment is the
set of tests in which the experimenter
manipulates the independent variable. - What was the experimental group in Redis
Experiment?
22Identifying Controls and Variables
- Smithers thinks that a special juice will
increase the productivity of workers. - He creates two groups of 50 workers each and
assigns each group a task (in this case theyre
supposed to staple a set of papers). - Group A is given the special juice to drink while
they work. Group B is not given anything. - After one hour Smithers counts how many stacks of
papers each group has made. Group A made 1,587
stacks, Group B made 2,113 stacks.
23Identifying Controls and Variables
- What was Smithers
- Control Group?
- Independent Variable?
- Dependent Variable?
- What should Smithers conclusion be?
- How could Smithers improve his experiment?
24Assignment
- Work in pairs to complete The Simpsons
Identifying Controls and Variables worksheet. - If you do not finish the assignment in class
complete it as home work.
25Yesterdays Classwork/Homework
- Identifying Experimental Variables and Controls