The steps you follow in your experiment
Respuestas a la pregunta
Respuesta:one
Choose a specific theme The experiments have results provoked radical changes in the scientific paradigm are very, very rare. The vast majority of experiments answer small and specific questions. Scientific knowledge is built from the accumulation of data from countless experiments. Choose a topic or an unanswered question that has a small and verifiable scope.
For example, "What type of fertilizer is best for plants in growth?" There are many different types of fertilizers and plants in the world, so that an experiment is not able to draw universal conclusions about it. "What concentration of nitrogen in the fertilizer produces the largest corn crops?".
Modern scientific knowledge is very, very broad. If you are going to do serious scientific research, research about your subject in depth before you even start planning your experiment. Are there past experiments that have answered the question you want to study with your experiment? If so, is there a way to adjust the issue so that the abortion has not been answered by the existing investigation?
two
Isolate your variables. Quality experiments test the specific and measurable parameters called variables. In general terms, a scientist performs an experiment for a range of values of the variable he is studying. An important issue when conducting an experiment is adjusted to the specific variables you are studying (and not the rest of the variables).
For example, in our case of fertilizers, our scientist cultivated several corn crops in a soil with fertilizers, sea nitrogen concentration differently. He should have a good crop of corn exactly the same amount of fertilizer. Then you should consider the chemical composition of the fertilizers. For example, you should not use a fertilizer with a magnesium concentration higher than the rest. In addition, you should cultivate exactly the same amount and species of corn crops at the same time and in the same type of soil each time the experiment is repeated.
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Build a hypothesis. A hypothesis is a prediction of the result of the experiment. It should not be a blind assumption, good hypotheses should be supported by the research that is done when choosing the theme of the experiment. Bases of the hypothesis in the results of the experiments carried out by colleagues' studies, if you are facing a problem that has not been studied in a deep way, basal in the combination of bibliographic research and in the observation that can be made. Remember that despite your research work is better. If this happens, time has not been lost, it has been extended.
Normally, a hypothesis is expressed as a quantitative declarative phrase. A hypothesis also takes into account the experimental forms. A good hypothesis for our fertilizer example is: "Corn crops supplemented with 450 grams (one pound) of nitrogen per 25 kilograms (one bushel) will result in a higher yield mass than equivalent corn crops grown with supplements of different nitrogen ".
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Plan your data collection. You must know in advance when you are going to collect the data and what kind of data you are going to gather. Measure this data at a set time, in other cases, at regular intervals. In our fertilizer experiment, for example, the weight of corn crops (in kilograms) will be measured. This will be compared with the nitrogen content of the fertilizer with which a suitable crop is produced. For other experiments it is necessary to collect data at regular intervals.
Making a data table before you start is a great idea. With this table you will only have to place the values of your data as the documents.
Learn to differentiate the dependent variables from the independent ones. An independent variable is a dependent variable. In our example, the "nitrogen content" is an independent variable and the "yield (in kilograms)" is the dependent variable. A basic table will have columns for amb
Respuesta:
the steps are:
1. observation
2. hipothesis
3. experimentation
4. theory
5. law
in my cases