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Showing posts with the label Statistics

Raw Data Analysis

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Raw Data Analysis Graphs The above graph shows the amount of Uca minax fiddler crabs counted on both the North and South sides of Spermaceti Cove on Sandy Hook, New Jersey during the 2016-2017 data collection set. This is the baseline data for this longitudinal study. The above graph shows the amount of Uca minax fiddler crabs counted on bot the North and South sides of Spermaceti Cove on Sandy Hook, New Jersey during the 2017-2018 data collection set. The above line graph shows the amount of fiddler crabs counted on the North side of Sperrmaceti Cove on Sandy Hook, New Jersey throughout the two years that this study has been conducted, from 2016-2018. Correlation Between Temperature and Crabs Counted Calculating the correlation between the temperature and number of crabs gives me more information about the Uca minax fiddler crab population on Sandy Hook. The following is a equation for correlation: AB/sqrt(A^2)(B^2). The column X represents the temperature at the t...

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...

Statistics

Statistics Many different types of statistics are used when conducting a population analysis. Normal distribution will be use to show the outliers in the data, since normal distribution shows what 'normal' data points would look like. Standard deviation can be used hand in hand with normal distribution to measure how the data points are distributed; the higher the standard deviation, the more spread out the data points are. This means that if my data points were 1, 2, 3, 4, and 5, the standard deviation would be much smaller than if they were 1, 29, 39, 74, and 299. Continuing, variance measures how far each data point is from the mean of the data set; as a result, I will need to calculate the mean. Variance also shows how spread out the data is. After all the manipulation of the data sets are complete, I will need to use these calculations to determine whether my null hypothesis or hypothesis is correct and how much error I have. In regards to testing my hypotheses, I wi...

Data Collection

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Data Table 1 shows the date of each count, the amount of crabs on either side of Spermaceti Cove, and any additional observations taken by either B. Astorino or D. D'Albero. The three graphs below show the relation between the amount of fiddler crabs counted against the progression of the summer. Generally, as the season goes on, there are less and less fiddler crabs spotted on both sides of Spermaceti Cove. This is due to the fact that fiddler crabs burrow underground during the winter months. A line graph that plots the amount of fiddler crabs counted on the north side of Spermaceti Cove against the counting session. See Data Table 1 for exact dates and observations of each counting session. Counting session 6 denotes the end of the 2016-2017 sessions. A line graph that plots the amount of fiddler crabs counted on the south side of Spermaceti Cove against the counting session. See Data Table 1 for exact dates and observations of each counting session. Counting sess...