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Independentvariable is always under manipulation to gauge the value of othersubstances whereas the substance that is under evaluation is thedependent variable. In the case study, the noise level is theindependent variable. It can be manipulated in different forms togauge its effect on the learning process. For instance, there can bethe creation of artificial noise in the background, by playing lowmusic while the lesson is ongoing. For comparison, the music isturned off in the second condition hence, it will be possible toevaluate the effect of the background music in the learning process. Therefore, the amount of what is learned is the dependent variablesince it depends on the conditions within the background. Forexample, if the noise within the background is high then the amountof math learned is likely to be low. On the other hand, if the noiseis eliminated then the learning will improve.

Thebest way to measure the dependable variable is providing a testasking for a summary of what was taught during the lesson. This is inan attempt to satisfy the conditions of a t-test (Rustagi, 2014). Ifthe aim is to get one score from each participant, then this is themost appropriate tool on a continuous scale (Urquhart, 2012).Undeniably a variable becomes continuous when there is freedom tochoose a number of categories (Hawkins et al., 2015).

References

Hawkins,G. E., Hayes, B. K., Donkin, C., Pasqualino, M., &amp Newell, B. R.(2015). A Bayesian latent mixture model analysis shows thatinformative samples reduce base rate neglect. Decision,2,306-318.

Rustagi,J.S. (2014). OptimizationTechniques in Statistics.Elsevier.

Urquhart,C. (2012). GroundedTheory for Qualitative Research: A Practical Guide.SAGE.