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### Psy 300 Exam 2 Review

Course: PSY 300, Fall 2005
School: Grand Valley State
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Word Count: 308

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300 Psy Exam 2 Review Chapter 6 Probability: the probability of A = number of outcomes classified as A Total number of possible outcomes Ex. The probability of selecting the king of hearts from a card deck is 1/52 The probability of selecting an ace is 4/52 (King of Hearts or an ace would be considered the A) Random Sample: - every individual in a population has an equal chance of being selected - there must be a...

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300 Psy Exam 2 Review Chapter 6 Probability: the probability of A = number of outcomes classified as A Total number of possible outcomes Ex. The probability of selecting the king of hearts from a card deck is 1/52 The probability of selecting an ace is 4/52 (King of Hearts or an ace would be considered the A) Random Sample: - every individual in a population has an equal chance of being selected - there must be a constant probability across selections - problem: there isn't a constant probability! - solutions: two: 1) replacement; 2) assumption of infinite populations -stratified sampling - making efforts to create a representative sample by forcing certain proportions Chapter 7: Sampling Distributions standard error how much error is in a sample sampling error samples are typically not identical to the population standard error stuff x is the standard error of X (or standard deviation) We want the standard error to be small If our mean (x-bar) is 20 we it guess might fluctuate by 5 This fluctuation is the standard error If your sample is the entire population (sample = population) then your standard error = 0 Maximum standard error: if your sample number is 1, then standard error is equal to that of standard deviation so.... x = Sampling distribution stuff - collection of sample means for all possible random samples of a particular size (n) that are drawn, with replacement, from the population - this is NOT a distribution of scores, but a distribution of statistics - sample means tend to center on population mean - distribution is approximately normal (helps us later) - we can ask/answer questions about sample means (ex: p (sample mean > 7)? ) Central Limit Theorem -" for any population with mean and standard deviation , the distribution of sample means for sample size n will have a mean of and standard deviation of and will approach a normal distribution as n approaches infinity." n ,
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