Biostatistics and Experimental Design

Introduction to Biostatistics and Experimental Design

This report investigate the relationship between the growth of a tree, the amount of water and the species of the tree planted. The study used a regression analysis to investigate if there exist any significant relationship between tree growth rate, amount of water and the species of the trees. The study collected 200 sample which was divided into two. The first group was from the waterhousea floribunda species which had a sample of 100 while the other group was a sample of 100 was from the syzygium leuhmanii species. The study will also investigate if there was any significant effect that the weeping satinash is growth slowing.

Problem of Statement: Biostatistics and Experimental Design

From several studies have show that roadside tree cover can significantly reduce the flow of water due to reduced head radiation? The study also found that due to reduced water loss as a results of roadside tree planting, water saved can be used at the neighboring households. The study found that two type of species have been used over a long period as roadside plants; the weeping satinash (waterhousea floribunda) and the small leaved lillypilly (syzygium leuhmanii) (Black Ken, 2011). Several literature indicated that the weeping satinash is slow growing which is making the council to make a new recommendation. To investigate this claim, a study of 100 weeping satinash and 100 small leaved lillypilly was used. The growth rate was measured centimeter per week for 6 months

Research Objective: Biostatistics and Experimental Design

To investigate if the weeping satinash is slow growing than the small leaved Lilly pill

To investigate if the growth of plant along the roadside influence the amount of water

Methodology: Biostatistics and Experimental Design

Study Design

An experimental study design was used to investigate the growth rate of tree and its relation with amount of water and the type of species of tree planted along the roadside.

Data and Data Analysis

The data consisted of the categorical variable (the species of the tree) and continuous variables (growth rare and amount of water. the growth of the trees was recorded weekly in term of the height of the tree and the amount of The data was analyzed using the regression model and Anova since the species of tree were in category form (Jay Kenneth, 2010).

Assumption of The Test

The study assume that the growth rate of the tree and the amount of water are normally distributed. Since the sample is large 200, then we can conclude that the data is normally distributed.

Results: Biostatistics and Experimental Design

In this section, the study investigate the effect of water on the growth of the trees. The study also investigate the effect of water on the growth of the trees when the species of the tress is treated as influencing factor.

The Effect of Water on The Growth of The Tree

The result of the analysis indicate that the t- value was equal to 5.776 with a p- value = 0.000000293 which was less than 0.05 significant level. This means that there was sufficient evidence that the amount of water positively influence the growth of the tress. The analysis also indicated that the coefficient of determination was equal to 0.1442 which implies that the model can account for 14.42% variability of the growth of the tree due to the amount of water supplied.

The test of the effect of water on the growth of the tree as the species of the tree act as a influencing factor

From the analysis, it can be observed that when the species of the tree is added as a factor. From the analysis, it can be observed that the coefficient of was equal to 4.072 with a p- vale of 0.0000675 which was significantly less than 0.05 significant level. This means that the water influences the growth of the trees. The analysis also indicated that the species Waterhousea floribunda had a coefficient of -0.98384 and a t- value = -2.485 and a p= value 0.0138 which was less than 0.05 significant level. This means that the tree species waterhousea floribunda influences the negatively uptake of water for tree growth. The analysis also indicated that the coefficient of determination was 0.1702 which implies that the model can account for 17.02% of the variability in growth of the tree due to both amount of water and the tree species. This also show that the introduction of the tree species increases the adequacy of the model in determining the growth rate of the tree. 

Conclusion on Biostatistics and Experimental Design

From the results, it can be concluded that the amount of water influences the growth rate of the tree positively. The report also concluded that the species of the tree waterhousea floribunda influences the growth of the tree negatively. The report also conclude that the presence of both the amount of water and the tree species increases the variability of the growth of the trees due to the independent variables.

References for Biostatistics and Experimental Design

Jay L.D and Kenneth N.B Modern mathematical statistics with application.Illinois state university. Second edition 2010.

Black, Ken. Business Statistics: For Contemporary Decision Making. John Wiley & Sons, Inc, 2011. Print

Remember, at the center of any academic work, lies clarity and evidence. Should you need further assistance, do look up to our Biology Assignment Help

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