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Steps of Experimental Design: M&M Investigation Well-Defined Questions Experimental Design: M&M Investigation Most of the time a hypothesis is written like this: – PowerPoint PPT presentation

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Title: Steps of Experimental Design:


1
Steps of Experimental Design
  • MM Investigation

2
Well-Defined Questions
3
Is it a WELL-DEFINED QUESTION??
4
Is it a WELL-DEFINED QUESTION??
5
Is it a WELL-DEFINED QUESTION??
6
Is it a WELL-DEFINED QUESTION??
7
Is it a WELL-DEFINED QUESTION??
8
Is it a WELL-DEFINED QUESTION??
9
Experimental DesignMM Investigation
HYPOTHESIS A hypothesis is an educated guess
about how things work.
  • Most of the time a hypothesis is written like
    this "If _____I do this, then
    _____this_____ will happen.
  • For example IF a plant receives fertilizer,
    THEN it will grow bigger than
  • a plant that did not receive fertilizer.
  • Other ways to write a hypothesis
  • - I predict that ______________ because
    _______________.
  • - I hypothesize that __________________
    because______________.
  • Your hypothesis should be something that you can
    actually test.
  • The word HYPOTHESES is plural for hypothesis.

10
HYPOTHESIS
  • Now write your own hypothesis based on the
    question
  • Do some MM colors dissolve faster in water
    than others?
  • Write your hypothesis behind the Hypothesis
    tab
  • in your foldable.
  • Remember
  • - your hypothesis needs to be in an
    if/then statement
  • - your hypothesis must be testable

11
Examples of Possible Hypotheses
  • IF the MM has a darker color, THEN it will
    dissolve faster.
  • IF the MM has a lighter color, THEN it will
    dissolve faster.

12
MATERIALS
  • A materials list is important in
    organization and planning.
  • It is important to list all materials you
    will need in order to carry out the experiment.

13
MATERIALS
  • Behind the Materials tab in your
    foldable, list all of the materials that you will
    be using in the MM Investigation lab.
  • Materials
  • White plastic plates
  • Different colored MMs
  • Water
  • colored pencils
  • a quarter
  • Plastic cup, 3 ½ ounces
  • Permanent marker
  • Stopwatches

14
VARIABLES
  • Scientists use an experiment to search for cause
    and effect relationships in nature. In other
    words, they design an experiment so that changes
    to one item cause something else to change in a
    predictable way.
  • These changing quantities are called VARIABLES.
  • An experiment has 3 kinds of variables
  • independent (manipulated), dependent
    (responding) and controlled (constants)

15
INDEPENDENT VARIABLE
  • The independent variable is the one that is
    purposely changed or manipulated by the
    scientist. To ensure a fair test, a good
    experiment has only one independent variable. As
    the scientist changes the independent variable,
    he or she observes the changes.
  • Example
  • Does the amount of fertilizer affect plant
    growth?
  • The amount of fertilizer is the independent
    variable
  • because the scientist has control over how
    much
  • fertilizer is used in the experiment.

16
EXPERIMENTS CAN HAVE ONLY 1 INDEPENDENT VARIABLE
Suppose that you wonder whether you can run a
marathon faster when you eat pasta the night
before or when you drink coffee the morning of
the race. Your hunch is that loading up on pasta
will give you the energy to run faster the next
day. The independent variable is the consumption
of pasta, and the dependent variable is how fast
you run the race. Now, if you eat several plates
of spaghetti the night before you race, but then
get up the next morning and drink two cups of
coffee before you head to the start line, your
experiment is useless. Why is it useless? By
drinking the coffee, you introduce a second
independent variable, so you will not know
whether the faster race time is due to the pasta
or the coffee. Experiments can have only one
independent variable. If you want to know the
effect of caffeine (or extra sleep or improved
training) on your race time, you would have to
design a second (or third or fourth) experiment.
17
  • What is the
  • independent variable
  • in your MM investigation?

18
  • Independent Variable
  • MM Color

Why is MM color the independent variable?
19
DEPENDENT VARIABLE
  • The dependent variable is what is measured in the
    experiment.
  • The scientist focuses their observations on the
    dependent variable to see how it responds to the
    change made to the independent variable.
  • Example
  • Does the amount of fertilizer affect plant
    growth?
  • The dependent variable is plant growth.
  • This can be MEASURED, and it RESPONDS to the
  • change made to the independent variable.
  • (amount of fertilizer)

20
  • What is the
  • dependent variable
  • in your MM investigation?

21
  • Dependent Variable
  • how fast the MM colors dissolve

Why is the speed that the MM colors dissolve
the dependent variable?
22
CONTROLLED VARIABLE (CONSTANTS)
  • When conducting an experiment, all other
    variables must be kept the same throughout the
    investigation they should be controlled. The
    variables that are not changed are called
    controlled variables. (constants)
  • Example
  • Does the amount of fertilizer affect plant
    growth?
  • Independent variable amount of fertilizer
  • Dependent variable plant growth
  • Controlled variables same type of plant, same
    pot size, same amount of water, same amount of
    sunlight

23
DATA TABLES
  • Tables are an excellent way to display data or
    information in an organized fashion.
  • By putting data in tables one can easily from
    there set up a graph to illustrate the data.

24
Tables have several features in commonFirst,
all tables as well as graphs should have a title
to let the reader know the subject of the table
or graph. Most tables consist of a series of
rows and columns.
TITLE
ROWS
COLUMNS
25
GRAPHS
  • A graph is a chart or drawing that shows the
    relationship between changing things
  • Common graphs use bars, lines, or parts of a
    circle to display data.
  • Graphs must include a title and labels on the x
    and y axis.
  • Why will we use a bar graph in our MM
    investigation?

26
Example of a Bar Graph
TITLE
Y-Axis Dependent Variable
X-Axis Independent Variable
27
DRY MIX
  • DRY MIX is an acronym to help you remember how
    variables are plotted on a graph. D dependent
    variableR responding variableY graph
    information on the Y-axis (vertical, up and
    down)M manipulated variable I   independent
    variableX  graph information on the X-axis
    (horizontal, side to side)
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