Design a Scientific Experiment

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Designing a scientific experiment involves planning. The nature of Research question influences
how the research will be conducted. When designing the experiment Scientist select from where
and how the samples will be obtained, dates and time of experiment,controls being used and other measures needed to carry out Research.
Analyzing Data for Research process involves bringing Data together and calculating statistics.
These tests help the scientist understand Data tell better what significant result is found. Calculating  statistics for a scientific research experiment uses both Descriptive and inferential statistics methods.
Descriptive statistics describe the Data and samples collected, e.g. sample averages or means, as
well as standard deviation that tells scientist how the Data is distributed. Inferential statistics involves
conducting tests of significance that have the power to either confirm or reject the original hypothesis. After Data from experiment is analysed, examine the information and make conclusions
on basis of findings Compare both the original hypothesis & conclusions of previous experiments
by other Researchers when drawing conclusions.
 PURPOSE OF EXPERIMENT RESEARCH
 Is to establish the existence of a Cause-and-Effect relationship between two variables. To accomplish this Goal, an experiment manipulates one variable while a second variable is measured and other
variables controls four Basic elements manipulation. 
PLANNING THE EXPERIMENT \
1) State the question
2) Formulate a hypothesis and make a prediction.
3) Choose the variables.
4) Choose a control.
5) Conducting the experiment & collection of Data.
6) Analyse results.
ACTION RESEARCH TOOLS
These include - Keeping a Research Journal, Document collected & analysis, Participant
observation readings, Questionnaire surveys, case studies.
CONCLUSIONS & PUBLISHING
This stage is where technically Hypothesis is stated as proved or disapproved. However, bulk
of research is not clear-cut as that, and it is necessary to filter the results and state what happened
and why? This stage is where interesting results can be noted for further research & adaptation
of initial hypothesis. Even if the Hypothesis is incorrect, may be experiment had a flaw in its
design or implementation. There may be trends that lead to further research & refinement of
process, may be not statistically significant.

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