Biology 2244A/B Chapter Notes - Chapter 12: Standard Deviation, Categorical Variable, Random Variable
25 Dec 2016
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When n is large we can use normal probability calculations to approximate binomial probabilities. Independence: bmi of one doesn"t effect the other. Random variable: number in sample who are overweight/obese. Normal approximation: says that x is normal with its binomial mean and standard deviation. Accuracy: improves as sample size, n, increases, also depends on p. Most accurate: when p is close to 0. 5. Least accurate: when p is near 0 or 1. Continuity correction: to apply continuity correction in normal approximation for a variable that takes only whole-number values, act as if each whole number occupies the entire interval from 0. 5 below the number to 0. 5 above it. X: count of occurrences of some categorical outcome in a fixed number of observations. P^: sample proportion, the statistic that estimates the parameter, p. when the data are an srs of size n, tests and confidence intervals for a population proportion p are based on this.
