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Computers and Statistics
By: Tiffany Chen
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Sharp Nose Sharks
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Survival of the Baby Turtles
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Probability of the Survival Rate of 18 Coral Planula
Probability: the way to measure the chances that something will occur in relation to the possible alternatives The Probability that was predicted was 2 to 9 The Probability I got was 1 out of 6 Aristotle The probable is what usually happens. Edgar Allen Poe The Murders in the Rue Morgue Coincidences, in general, are great stumbling blocks in the way of that class of thinkers who have been educated to know nothing of the theory of probabilities-that theory to which the most glorious objects of human research are indebted for the most glorious of illustrations.
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The Lengths of 25 Sea Cigars
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The Percent Composition by Mass of Flotsam
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Standard Deviation & Variance
Two values that are used in statistics to describe how far away your data are from the mean are VARIANCE and STANDARD DEVIATION.
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Theoretical Distribution Curve
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∑(observed-prediction)²
The Chi-Square The Chi-Square Test is used to see if there are any significant differences between data sites or sources. Our results tell us that there is a difference in the sea turtles hatchling survival rates between the beach sites because our chi- square number is greater than the critical value from the chi-square table. ∑(observed-prediction)² Predicted
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t-test s2p =(n1 – 1) s12 + (n2 – 1) s22 n1+ n2 - 2
The t-test value was calculated on the computer on Microsoft Excel. It came out to be , which is less than the p-value of 0.05 from the t-statistic table. This means that there was a significant difference! The t-test is designed to test whether or not there is a significant difference between the means of 2 independent samples. s2p =(n1 – 1) s12 + (n2 – 1) s22 n1+ n2 - 2
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Painted Lady Caterpillars
The mean of the control group was 0.94, or 94%, and the mean of the treatment group was 0.75, or 75%. Our chi- square p-value was The overall survival rate was 84.4%. The Survival Rate of Painted Lady Caterpillars, Subjected to Fructose Control Number Control Group Treatment Number Treatment Group C1 Alive T1 C2 Dead T2 C3 T3 C4 T4 C5 T5 C6 T6 C7 T7 C8 T8 C9 T9 C10 T10 C11 T11 C12 T12 C13 T13 C14 T14 C15 T15 C16 T16 Total Dead One Four Chi-Square Table Observed Predicted C-Live 15 13.5 C-Died 1 2.5 T-Live 12 T-Died 4
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