Lab Report: Bramble Leaf Morphology Essay -- essays research papers

B. IMPLEMENTING SUN SITE SHADE SITE Thickness of bramble leaf/ mm 0.31 0.30 0.25 0.26 0.31 0.29 0.27 0.26 0.33 0.32 0.29 0.25 0.35 0.34 0.27 0.27 0.29 0.25 0.29 0.32 0.25 0.33 0.36 0.31 0.37 0.34 0.27 0.36 0.28 0.29 0.22 0.17 0.24 0.19 0.19 0.21 0.22 0.18 0.16 0.22 0.16 0.19 0.22 0.19 0.17 0.19 0.17 0.19 0.20 0.16 0.22 0.21 0.18 0.19 0.15 0.20 0.16 0.21 0.19 0.18 Mean bramble leaf thickness / mm 0.30 0.19 Light Intensity / mV At 10:30 7.81 At 13:00 8.34 At 15:30 7.65 At 10:30 3.89 At 13:00 4.02 At 15:30 3.76 Mean light intensity/mV 7.93 3.89 Aspect of Site South East South East Results In order to investigate the effect of light intensity on bramble leaf morphology, it was decided that thickness would be the particular morphological feature that was going to be investigated. It was felt that the best possible use was made of the equipment and sites available in order to attain reliable data under the time constraints involved. The sample size for this investigation was set at 30 – this allowed a reasonably large sample and thus reasonably confident conclusions and tests are possible for the Analysis and Evaluation sections. However, a sample size of 30 is still small enough in order to feasibly collect data within the allocated time period. The two sites chosen were suitable in order for valid data to be collected and compared. The two sites were comprehensively distinct sun and shade sites. As can be seen on the photograph, the sun site had virtually no major branches or trees in its vicinity and thus a lot of light was able to shine on the leaves. In contrast, the shade site was surrounded and shadowed ... ...ns, it has to be stated that the validity of the results have been undermined and the conclusion is certainly stated with less confidence. The accumulation of so many sources of error seems to suggest that the conclusion may even be an altogether incorrect one due to unreliable collection of data. However, the sources of error do not change the conclusion itself. Pieces of evidence such as the significant differences in means, use of standard deviation and the comprehensiveness of the t-test suggest that the conclusion is still a valid one. Although the data is not completely normally distributed, the 99.999% confidence at which the t-test accepts the hypothesis is considerable. Certainly, these limitations suggest that that percentage is unlikely to be that high, but given the nature of the investigation and results ascertained, the conclusion is still a valid one.