March 26, 2008

# March 26, 2008 - IV The normal deviate(z test A A normal...

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March 26 Outline I. Overview of Chapter 12: Sampling distributions and the normal deviate (z) test II. Sampling distributions A. Use of sampling distributions in hypothesis testing 1. Calculate the statistic (e.g., number of pluses) 2. Evaluate the statistic based upon its sampling distribution III. Sampling distribution of the mean A. Generating a sampling distribution of the mean 1. Draw all possible samples of size N 2. Calculate the mean of each sample 3. Calculate the probability of getting each mean value if chance alone were operating

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B. Characteristics μ = X N X σ = , standard error of the mean Normal (depending on sample size and shape of population distribution)
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Unformatted text preview: IV. The normal deviate (z) test A. A normal curve probability problem B. Comparison of z score and z test z score:-= X z z test: X X obt obt X z-= C. Example Sampling distribution of a statistic: gives (1) all the values that the statistic can take and (2) the probability of getting each value under the assumption that it resulted from chance alone Sampling distribution of the mean: gives all the values that the mean can take and the probability of getting each value if sampling is done at random from a population where the independent variable has no effect (H is true)...
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March 26, 2008 - IV The normal deviate(z test A A normal...

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