Effect of Temperature on Beetroot Membrane Permeability Assignment

Effect of Temperature on Beetroot Membrane Permeability Null Hypothesis

There will be no relationship between the rise in temperature and the amount of beetroot pigment leaking into the water.

To give me a visual perception of my obtained results compared to that of the two other groups, I will represent the results in a form of a scatter diagram/graph.

I will use the Spearman Rank Statistical test to carry out a statistical analysis of my results. This will allow me to establish a significant relationship between the two sets of data, which are the temperature and the absorbency.

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Effect of Temperature on Beetroot Membrane Permeability NB: This essay is a result of a test that we gave our recruits. If we want our professional writers to handle your assignment, kindly ORDER NOW below.

To work out the significant relationship I will be using the following formula:

RÑ• = 1 – 6 ∑D²

N = no. of pairs of measurements that I have, which is 7.

n (n² – 1)

RÑ• = 1 – 6 x 2

n (n² – 1)

RÑ• = 1 – 6 x 2

7 (7² – 1)

RÑ• = 1 – 12

336

RÑ• = 0.96

I have been provided with a table, which indicates that for every ‘n’ value there is a critical value. For 7 pairs of measurements the critical value is 0.79. If RÑ• is greater than or equal to the critical value indicated in the table, than there is a significant relationship between my sets of data.

Rs = 0.96 > 0.79. This indicates that there is a correlation between temperature and the absorbency. I also know that I have a positive correlation, as 0.96 is a positive value.

I also need to work carry out a Spearman’s rank test using my average value of absorbency, which includes my own set of results as well as the two other pooled results.

Rs from my average value of absorbency is identical to the previous Rs. This clearly means that I have successfully managed to support the fact that there is a positive correlation between absorbency and temperature. Therefore, I can discard my Null Hypothesis, which states otherwise.

The first graph, which is a scatter diagram of pool results, displays my results alongside with two other students. By carefully comparing the graph I have noticed that all the results indicate the same pattern of a positive correlation. However, I have noticed that one set of results had produced an anomalies result. Therefore, I intend to discuss possible limitation and problems, which may have caused this. The graph as well as the statistical analysis both indicates that my prediction was correct, and as a result of this I can discard my null hypothesis.

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