Investigate The Relationship Between Weights And Heights Of Mammals And Amphibians Lab Report
Introduction:
My aim is to investigate the relationship between weights and heights of mammals and amphibians. My main hypothesis is: heavier an animal the taller it will be. Sub-hypothesis: I believe there will be a stronger correlation between height and weight for mammals. I also believe that on average mammals are going to weigh more and be taller than amphibians. My plan is to collect data from many sources which will make my results more reliable.
The data used for my investigation has been obtained from the Edexcel website and since Edexcel is a recognized examination board, I believe it to be a trustworthy source in my investigation. I will use multiple sources to confirm. This data is considered as secondary data and I will be using …show more content…
By using secondary data it will be quicker and it will be cheaper. However I might face some bias and therefore as I have previously mentioned I will overcome this by using stratified sampling. I will use the graph to tailor my needs and will be reliable. I will consider the aspect of continuous data (any value) and discrete data (whole numbers). An example of continuous data is time, whereas an example of discrete data is the number of animals.
I am using quantitative data which has numerical values rather than qualitative data such as colors. This makes it easier to analyze the data and come to a conclusion. I will also be excluding outliers and anomalies which make my data more representative. The process is to collect data from a population of 264 animals including 19 mammals and 31 amphibians because it is neither large nor small and therefore giving me a clear concise result of the investigation of height and weight.
I will use SRCC (Spearman’s Rank Correlation Coefficient) to see the strength between my two variables. I have used these results to plot a graph as shown below. This illustrates the pattern of results more clearly.
The formula …show more content…
The data has many outliers. This is because the data is more spread out and less consistent. On average, mammals grow taller than amphibians.
I started the hypothesis by trying to prove that as the weight of mammal’s increases the height also increases and I have proved this with graphs and correlation. However for mammals the change in height is not that drastic because with both types of animals we can clearly see distinctions. For example, the mammals have a stronger correlation than amphibians. This means that the weight does affect the height of mammals.
With mammals I found that for every one kg an animal gains the height goes up by 0.042 cm.
With amphibians I found that for every gram of weight that an amphibian gains the height increases by 0.007cm.
With the SRCC I have discovered that for carnivores the weight has a stronger correlation with height when compared to amphibians.
My aim is to investigate the relationship between weights and heights of mammals and amphibians. My main hypothesis is: heavier an animal the taller it will be. Sub-hypothesis: I believe there will be a stronger correlation between height and weight for mammals. I also believe that on average mammals are going to weigh more and be taller than amphibians. My plan is to collect data from many sources which will make my results more reliable.
The data used for my investigation has been obtained from the Edexcel website and since Edexcel is a recognized examination board, I believe it to be a trustworthy source in my investigation. I will use multiple sources to confirm. This data is considered as secondary data and I will be using …show more content…
By using secondary data it will be quicker and it will be cheaper. However I might face some bias and therefore as I have previously mentioned I will overcome this by using stratified sampling. I will use the graph to tailor my needs and will be reliable. I will consider the aspect of continuous data (any value) and discrete data (whole numbers). An example of continuous data is time, whereas an example of discrete data is the number of animals.
I am using quantitative data which has numerical values rather than qualitative data such as colors. This makes it easier to analyze the data and come to a conclusion. I will also be excluding outliers and anomalies which make my data more representative. The process is to collect data from a population of 264 animals including 19 mammals and 31 amphibians because it is neither large nor small and therefore giving me a clear concise result of the investigation of height and weight.
I will use SRCC (Spearman’s Rank Correlation Coefficient) to see the strength between my two variables. I have used these results to plot a graph as shown below. This illustrates the pattern of results more clearly.
The formula …show more content…
The data has many outliers. This is because the data is more spread out and less consistent. On average, mammals grow taller than amphibians.
I started the hypothesis by trying to prove that as the weight of mammal’s increases the height also increases and I have proved this with graphs and correlation. However for mammals the change in height is not that drastic because with both types of animals we can clearly see distinctions. For example, the mammals have a stronger correlation than amphibians. This means that the weight does affect the height of mammals.
With mammals I found that for every one kg an animal gains the height goes up by 0.042 cm.
With amphibians I found that for every gram of weight that an amphibian gains the height increases by 0.007cm.
With the SRCC I have discovered that for carnivores the weight has a stronger correlation with height when compared to amphibians.