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Common Wheat Sample Values

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The standard deviation calculations in my experiment are used for finding out how the common wheat sample values are spread above and below the mean. A high standard deviation indicates that the data is widely spread around the mean, which makes the data less reliable. A low standard deviation in the other hand indicates that the data points are located closely to the mean, which makes the data very reliable. The standard deviation provides important information of the data’s reliability and its significance when making the conclusion. The calculated standard deviation value for all samples with different sucrose concentrations in Table 1.3, Table 1.5 and Table 1.7 is between 2.63 and 4.02. The standard deviation is low for the collected data, which indicates that the data is reliable and can be used to make accurate and significant conclusion. The standard deviation is important to …show more content…

The difference between 1.54% and 2.31% solute (sucrose) concentrations is very small, 0.63, compared to the difference between 0.00% to 1.54% solute (sucrose) concentrations. The mean height of the common wheat increases from 2.31% to 3.08% by 0.12.The mean height of the common wheat starts to decrease by 1.91 between 3.08% to 3.85% solute (sucrose) concentrations, getting closer to the decrease between 0.00% to 1.54% solute (sucrose) concentrations. The mean height of the common wheat tends to decrease steadily in the Graph 1.1 and it can be explained by osmosis. In the experiment there was concentrated (sucrose) solution added to the soil, which caused a low concentration outside the plant cell and made the water from the seeds (high concentration) to move to an area of lower concentration outside the plant cell. This made the common wheat seeds lose water, which is important in photosynthesis and growing, and therefore slowed down their

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