SOCI 211 Lecture Notes - Lecture 15: Confidence Interval, Binomial Distribution, Normal Distribution
6 Nov 2018
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Document Summary
In the normal curve, 95% of the cases fall within 1. 96 standard error units. The bounds of the confidence interval are xbar (mean) 1. 96 (standard error units. Gets larger as the probability of the outcomes get larger. To what degree does our predictions change depending on the values of p and q. P = success (yes) | q = failure (no) P = 0. 35 | q = 1-p = 0. 65. Multiplying by 2 because the cases fall between 2 standard errors on each side of the normal curve - instead of 1. 96 for simplicity. With a probability of error of 5% (0. 05) We would also like to know that the causal relationship found in our. We would also like to know that the causal relationship found in our sample is also present in the population from which the sample was drawn. Null hypothesis: there is no relationship between the variables we"re analyzing.
