AP Notes, Outlines, Study Guides, Vocabulary, Practice Exams and more!
Wilcoxon Signed Rank Test
Let Y1, Y2, ...., Yn be a set of independent and identically distributed random variables having a probability distribution that is continuous and symmetric, with density function fY(y). Formulate the null and alternative hypotheses
Sign Test
Goodness-of-Fit Tests
Statistics for Normal Random Variables
Difference Between Two Sample Proportions
Sample Proportion
Central Limit Theorem
The central limit theorem states that the sampling distribution of the mean, for any set of independent and identically distributed random variables, will tend towards the normal distribution as the sample size gets larger. This may be restated as follows:
Sample Mean and Variance
Consider a set of independent and identically distributed random variables
Sampling Distributions
Sampling Proceedures
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