lecture6

lecture6 - Review Z-scores (Chapter 5) Determining the...

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± Review ± Z-scores (Chapter 5) ± Determining the location of a score within a distribution ± Working with standardized distributions & z- scores ± Transforming distributions 1. What is the difference between an independent and dependent variable? 2. What are the different scales of measurement? 3. What are the different measures of central tendency? 4. What is 1 strength and 1 weakness of each measure of central tendency? 5. What are the degrees of freedom and when do you use them? ± Kanuck ± Female, black lab, 10 years old ± Weight = 50 lbs ± Labrador Retrievers ± Mean weight=65 ± std dev = 10 ± Working dogs ± Mean weight = 65 ± std. dev. = 20
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Where does Kanuck t in these distributions? 65 65 ± =20 ± =10 55 45 50 50 Kanuck = 50 lbs Labradors ( ± =65, ± =10) Working ( ± =65, ± =20) ± An individual score by itself does not provide much information about it²s position within the distribution ± How do we address this issue? ± Standardize the distribution of scores ± The individual standardized scores are called z-scores and the distribution is a z-distribution ± Transforming to a z-score will tell you the precise position of the raw scores within the distribution
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lecture6 - Review Z-scores (Chapter 5) Determining the...

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