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[MUSIC] You have a research question and
now you need to turn it into a hypothesis. A hypothesis Is an educated prediction
that provides an explanation for an observed event. An observed event is a measurable
result or condition. If you cannot measure it, then you
cannot form a hypothesis about it, because you cannot confirm or reject it. In addition, a hypothesis typical
it takes the poem of an if and statement, so
you can test it with your research. Needless to say, it can all be
a little intimidating and many novice researchers find this to be the most
difficult stage of the scientific method. In fact,
it is not as difficult as it looks. And if you have followed the steps of the
scientific process and found an area of research and potential research problem,
then you may already have a few ideas. The hypothesis is a clear statement of
what is intended to be investigated. It should be specified before
research is conducted and openly stated in reporting their results. This follows the reader to
identify the research objectives. Identify the key abstract concepts
involved in the research and identify its relationship to both the problem
statement, and the literature review. I can offer the following tips for
thinking about and writing good hypothesis. The research question comes first. Before you make a hypothesis, you have to clearly identify the question
you are interested in studying. A hypothesis is a statement
not a question. Your hypothesis is not the scientific
question in your research project. The hypothesis, as I said is an educated, testable prediction
about what will happen. Make it clear. A good hypothesis is written in clear and
simple language. Reading your hypothesis should
tell the reader exactly what you thought was going to happen
when you started your research. Keep the variables in mind. A good hypothesis defines the variables
in easy to measure terms like, who the participants are? What changes during the testing? And what the effect of
the changes will be? Make sure you have hypothesis is testable. To prove or disprove your hypothesis, you need to be able to do
an experiment and take measurements or make observations to see how two
things your variables are related. You should also be able to repeat
your experiment over and over again. If necessary,
to create a testable hypothesis, make sure you have done
all of those things. Thought about what experiments you
will need to carry out to do the test. Identified the variables in the research,
included the independent and dependent variable in
the hypothesis statement. This helps ensure that your
statement is specific enough. Read credible sources related
to the area of your research. You may find many studies similar to
yours have already been conducted. What you learn from
available literature and data can help you shape your research,
and hypothesis. Dont bite off more than you can chew. Answering some scientific questions
can involve more than one experiment, each with it's own hypothesis. Make sure that your hypothesis
is a specific statement relating to a single experiment. The research structure helps you
create research that is quantifiable, verifiable, replicable and defensible. Most research projects share
the same general structure which could be represented in
the shape of an hourglass. Scientists use an experiment to search for
cause and effect relations in nature. In other words,
they design and experiment, so that changes to one item cause something
else to vary in a predictable way. These changing quantities
are called variables. A variable is any factor trade or condition that can exist in
different amounts of types. An experiment usually has
three kinds of variables. Independent, dependent and controlled. An independent variable is the one
that is changed by the scientist. To ensure a fair test, it is important for
an experiment to be a fair test. You conduct a fair test by making sure
that you change one factor at a time while keeping all other
conditions the same. A good experiment has only
one independent variable. As the scientist changes the independent
variable, he or she observes what happens. The scientist focuses his or
her observations on one dependent variable to see how it responds to the
change made to the independent variable. The new value of the dependent
variable is caused by and depends on the value of
the independent variable. For example, if you open a faucet,
the independent variable, the quantity of water flowing,
dependent variable changes in response. You observe that the water flow increases. The number of dependent variables
in an experiment varies, but there is often more than one. Experiments often have
controlled variables. Controlled variables are quantities that
scientists wants to remain constant and he or she must observe them,
as carefully as the dependent variables. For example, if you want to measure
how much of water increases when you open a faucet, it is important to
make sure that the water pressure, the control variable is held constant. That's because both the water pressure and the opening of a faucet have
an impact on how much water flows. If we change both of them at
the same time, we can't be sure how much of the change in water flow
is because of the faucet opening and how much, because of the water pressure. In other words,
it would not be a fair test. Most experiments have more
than one controlled variable.

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