Week_5_6_slides_2

Week_5_6_slides_2 - The Logic of Statistical...

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The Logic of Statistical Inference-- Testing Hypotheses • Confirming your research hypothesis (relationship between 2 variables) is dependent on ruling out – Rival hypotheses – Research design problems (e.g. measurement error, non-representative sample), and/or – Chance— sampling error-- the natural tendency of any sample to differ from the population from which it was drawn 1 ScWk 242 Week 6 Inference
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Statistical inference • The use of theoretical sampling distributions to test hypotheses Theoretical sampling is based on the premise that no relationship exists between the two variables 2 ScWk 242 Week 6 Inference
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Wait--I thought the research hypothesis said there was a difference…! Null hypothesis- -a statement that there is no relationship between two variables of interest. Another way of saying it: • Any relationship between these variables is only due to chance , not a real relationship that exists in the population (i.e. sampling error) 3 ScWk 242 Week 6 Inference
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The opposite of “Null” Is… • The “research hypothesis”, a.k.a “alternative hypothesis” • This is the one we worked on last semester, e.g. – “There is a difference between these two variables (e.g. “There is a difference in outcomes, comparing the experimental tx and ‘tx as usual’”), OR – “The experimental treatment will result in an improved outcome” • Which one is one-tailed? Two-tailed? (Hint: remember “directional hypothesis”?) 4 ScWk 242 Week 6 Inference
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Where do the “tails” come from? • From the theoretical sampling distribution
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Week_5_6_slides_2 - The Logic of Statistical...

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