Chapter 15 - Chapter 15: Inferential Statistics 1. 2 major...

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Chapter 15: Inferential Statistics 1. 2 major divisions: a. Estimation a.i. Goal- estimate the value of population parameters b. Hypothesis b.i. Goal- test hypothesis about population parameters 2. Use sample data to make generalizations about populations a. Sample- set of cases selected from the population b. Population- full group to which one wants to generalize 3. Statistic- a numerical index based on sample data 4. Parameter- numerical characteristic of a population 5. Goal in inferential stats- understand the population parameters 6. Sampling Distributions a. the theoretical probability distribution of the values of a stat that would result if you selected all possible samples of a particular size from a population b. sampling distribution of the mean- the theoretical probability distribution of the means of all possible samples of a particular size selected from a population c. standard error- the theoretical probability distribution of the means of all possible samples of a particular size selected from a population d. test statistic: a stat that follows a known sampling distribution and is used in significance testing 7. Estimation a. obtaining estimates of the values of a population parameters b. point estimation- use of the value of a sample stat as one’s estimate of the value of a population parameter b.i. use one number in your sample to estimate the one number of interest in the population c. researchers prefer to use interval estimation c.i. placement of a range of numbers around a point estimate d. confidence interval- interval estimate inferred from sample data that has a certain
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This note was uploaded on 12/10/2011 for the course PSYC 207 taught by Professor Lewis during the Fall '07 term at University of Delaware.

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Chapter 15 - Chapter 15: Inferential Statistics 1. 2 major...

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