02/15 Log Entry

What I've Done

I have finished my materials and methods

Plans for Today

I will continue to work on 20 February, as I am in Florida on college visits.

Comments

Post a Comment

Popular posts from this blog

Testing & Results

Image
Introduction             The hypothesis tested during this longitudinal study of the  Uca minax  fiddler crab species at Spermaceti Cove on Sandy Hook, New Jersey is as follows:  The  Uca minax  fiddler crab species located at Spermaceti Cove on Sandy Hook, New Jersey will increase as the years go on. The null hypothesis for this study is as follows: There will be no difference in the  Uca minax  population at Spermaceti Cove on Sandy Hook, New Jersey over the years. The hypothesis was tested using the same method that was used in previous years in order to mitigate error and increase the accuracy of the study.             This longitudinal study is important, as fiddler crabs are an indicator species; there is a direct correlation between their population stability and the health of their habitat. Should their habitat be un...
Read more

8/04 Log Entry

The fifth count took place on August 4, 2017, a very beautiful, sunny day, with a few clouds. Because B. Astorino and D. D'Albero were both unavailable, M. Vasques stepped in and counted 178 crabs on the south side. Due to lots of vegetation on the north side, she did not count any crabs there.
Read more

Statistical Methods

Statistical Methods As this is a longitudinal study, many data sets over the years must be analyzed in order to prove or disprove the hypothesis. The 2017-2018 data set will be compared to the baseline data set that was compiled between 2016 and 2017. As the years progress and this project continues to be conducted, more and more data will be compiled, allowing the conclusions to the experiment to be backed by more data. Normal distribution will be used in order to see if there are any outliers in the data, or any unusually high or low counts. These outliers have the potential to throw off the data analysis. Standard deviation and variance alike will be useful when determining either the spread or the closeness of the data points. A higher standard deviation means that there is more spread among the data, decreasing the potential for correlation among the data set. This indicates that there would be a smaller chance of a trend among the data. Variance is the distance each data po...
Read more