We can work with a testable hypothesis for example the students taking Biology are smarter than those that don't. Use the link to the left and start sampling.

A testable hypothesis is one that is able to be tested by an experiment and has and If and then part to the hypothesis.

Learn more about testable hypotheses here

Hypothesis

Is a Scientific guess at what you think that answer will be based on known Science. More about building a hypothesis here

Variables

Independant Variable

This is only one variable that can be changed per experiment and it must have a range or values that are valid to the biological niche of the study. Validity is linked to how appropriate the independant variable is to the organism being studied.

Dependant Variable

The vairable that is measured by the person doing the experiment. This vairable changes when we change the indepdendant variable changes. There is only one dependant variable per fair test.

Controlled variables

Any other variable that is not being changed or measured should be controlled. The most important ones are the variables that can affect the results. These can include temperature, volume, concentration, light and humidity..

Results

Results are collected as described in the method. The results should be in tabulated form and processed by averaging, excluding outliers and plotting graphs to show any trends in the data. Data when collected needs to be in a tabulated form and include the dependant and independant variables range of values and the units used to collect the data.

Conclusion

The conclusion is to summarize the fidings of the results. It is a description of what the data trends show. It can then to used to support or reject the hypothesis of the experiement.

Evaluation

Evaluation of the data should alanyese the accuracy of the investigation. It should that your results were valid and why. It is also reliable becuase you repeated it enough times to get confluent results. Explain what went well and where accuracy, reliablity and validity could be improved next time. You may outline any changes you would make in other experiments that would help to exclude outliers and anomolies. It is important to address how outliers may have happened and what you might do next time to help fix the outliers.