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Analyzing Sea Cigar Survival Rates with Statistics

Explore average size of sharp-nosed sharks and hatchlings survived. Learn about coral survival factors and the impact of global warming and cyanide. Understand variance, theoretical distribution, t-test, and Chi-square test in ecology research. Conducted sea turtle hatchling game. Analysis using Chi-Test revealed significant differences. Utilized T-test for Painted Lady data with specific values and concluded findings.

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Analyzing Sea Cigar Survival Rates with Statistics

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  1. Statistics 4 research in ecology Andrea Remiro

  2. Average Size OF Sharp-nosed sharks

  3. Hatchlings Survived

  4. Number of bottle caps

  5. Sea Cigars

  6. corals Probability means a way to measure the chances that something will occur in relation to the possible alternatives.There are three factors in which a coral must have so that it may survive. These three things are ; warm water , shallow area , and rough waves. There are also some things that can kill the coral. Global Warming for example affects the survival of the coral. Another thing that affects its survival is cyanide which is a deadly poison divers dump into the reefs.

  7. variance Variance is a value that is used to describe how far away the data is from the mean.

  8. The Theoretical Distribution of Sea Cigars Theoretical Distribution Curve (tdc) is a theoretical or ideal picture of a distribution based upon random sampling.

  9. T-TEST A t-test is an equation designed to test whether there is a significant difference between the means of two independent samples, those of your treatment and control groups. This equation is used to calculate a t-statistic for the two means ( X1, X2). The equation also has the number of items in each group (n1, n2), and the pooled variance which is what the s12 and s22stands for. This equation is used to calculate the pooled variance. The s12 and s22 this time is the variance for each group. The SP2 stands for pooled variance.

  10. Chi-Test A Chi-Square Test is a statistical formula that can be used to see if there is any significant differences between a data set. Me and a few others formed a group to play a sea turtle hatchling game. The point of the game is to try and get to the end without losing all of the 25 sea turtles you start off with. The game has five board which are called “beach sites”. After we finished the game we conducted a Chi Test (pronounced Ki-Test) to determine if there are any significant differences between the survival rates of each of the beach sites. When we used the chi-test, we found out that the p-value of the data is 0.001545. Since the p-value is smaller than 0.05, we reject the null hypothesis ( There will be no difference between sea turtle hatchling survival rates on the different beach sites), and accept the alternative hypothesis which is that there will be a difference between sea turtle hatchling survival rates on the different beach sites.

  11. Painted Lady Data T-test: P-VALUE = 0.0655016 Mean: 18.1 Variance: 0.1 Mean:18.875 Variance:0.982143

  12. THE END Thanks for watching!!!! 

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