University:
Eastern Kentucky University
Course:
BIO 810 | Biostatistics
Academic year:

2022
Views:

48

Pages:

2
Author:

5prinzg1s

Statistical Analysis and Probability sample mean tilde x = Mean Standard Deviation sample size H = Standard Error of the Mean Chi-Square Chi-Square Table s = standard deviation (ie., the sample-based estimate of the standard deviation of the population) observed results a = 1 e = i expected results P value Degrees of Freedom sum of all Sigma =; 1 2 3 4 S 6 7 8 0.05 3.84 5.99 7.81 9.49 11.07 12:59 14.07 15.51 001 663 921 11:34 13.28 15:09 1681 18.48 2009 Degrees of freedom are equal to the number of distinct possible outcomes minus one. Laws of Probability Metric Prefixes II A and B are mutually exclusive, then: If A and B are independent, then: P(Aan * dB) = P(A) * P(B) P(AorB) = P(A) + P(B) Factor Prefix Symbol 109 giga G 106 mega M 10 kilo k 10-1 deci d Hardy-Weinberg Equations 10-2 p = 1 of allele 1 in a population centi C 10- milli m 10-6 p + q = 1 p ^ 2 + 2pq + q ^ 2 = 1 4 frequency of allele 2 in a population micro 10 nano 10-12 pico P Mode value that occurs most frequently in a data set Median middle value that separates the greater and lesser halves of a data set Mean sum of all data points divided by number of data points Range value obtained by subtracting the smallest observation (sample minimum) from the greatest (sample maximum) x ^ 2 = sum ((o - c) ^ 2)/c s= sqrt Sigma(x i - overline x )^ 2 mu - 1 overline x = 1 n sum j = 1 to n x j SF overline s = pi/(sqrt(n))

Biology Equations and Formulas Sheet

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