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Abstract, Methods, Introduction, Results, Discussion, literature cited,…
Abstract
Methods
Birds and mammals were used and compared body mass to BMR, mass specific BMR to BMR, and elevation to average BMR for only birds.
This was conducted via data mining with the quaardvark program and putting the data into graphs.
Background
The hypotheses being tested are the correlation between mass and BMR for birds and mammals, mass specific BMR and BMR for birds and mammals, and elevation and average bmr for birds.
Results
For body mass and BMR, there was a positive linear coorelation.
For mass specific BMR and BMR, there was a negative nonlinear coorelation.
For comparing elevation and average BMR for birds, there appeared to be little to no coorelation.
Methods
design
The independent variables are mass and elevation and the dependent variables are mass specific BMR and BMR.
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procedure
Searched for mammals and birds in the quaardvark database and collected their mass, BMR, and elevation for birds. I then used excel to create bar graphs, scatterplots and t-tests comparing mass and BMR, mass specific BMR and BMR, and elevation and average BMR for birds in order to determine if there was a correlation between them and what kind of correlation.
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Introduction
question and hypothesis
What is the correlation between body mass and bmr between birds and mammals, mass specific BMR and bmr in birds and mammals, and elevation and average BMR in birds.
Hypothesis- there is a positive linear correlation between them all.
approach
I test the hypotheses with the quaardvark program and use the data acquired from it in scatter plots, bar graphs, and t-tests
unknown/problem
How BMR effects birds and mammals depending on mass and mass specific BMR. How elevation effects average bmr of birds. This study is being done to determing the correlations between these variables.
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Discussion
first paragraph
The results show that there is a positive linear correlation between mass and BMR which supports the first hypothesis. For mass specific BMR and BMR, there is a negative nonlinear correlation which does not support the second hypothesis. For elevation and BMR in birds, there does not appear to be a significant correlation which does not support the third hypothesis.
final paragraph
Overall there appears to be a positive linear correlation between mass and BMR, a negative nonlinear correlation between mass specific BMR and BMR, and no correlation between elevation and BMR for birds.
middle paragraphs
Although birds and mammals had similar results, there were still differences. For example, the average mammal mass and BMR was much larger than the average bird mass and BMR.(provide stats) One limitation to the study was that there was a limited number of birds and mammals to use, with there being much less birds than mammals.
literature cited
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format for end citations
Glazier S. June 22 2008. Effects of Metabolic Level on the Body Size Scaling of Metabolic Rate in Birds and Mammals. Royal Society. Accessed Feb 1 2023.
Speakman J. February 23 2005. Review Body size, energy metabolism and lifespan. The Company of biologists. Accessed Feb 1 2023
Burrus S., Dill B., Burk D., Freeland D, Adams W. 1974. Observations at Sea Level and Altitude on Basal Metabolic Rate and Related Cardio-Pulmoary Functions. Wayne State University Press. Accessed Feb 21 2023.
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