lecture 11

Lecture 11 - (sample mean d around expected mean-take sample mean and compare to this interval… inside or outside i If it falls outside the

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Statistics Lecture 11 1. d tells you the difference between the means in standard deviation units 2. when d is negative it means the sample mean is less than the population mean… but the negative does not really matter 3. when z is negative, sample mean is lower than pop. Mean, you know that our sample performed WORSE 4. estimation a. another way of getting to whether you want to retain or reject null…better be the same thing as the test-they always agree b. we can use either a single value or a range of values 5. point estimation a. precise but not entirely correct 6. interval estimate-confidence intervals included a. range of possible means that are likely to include the pop. Mean b. not as precise as point estimates but more confidence c. we can center confidence limits around expected (population) or observed
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Unformatted text preview: (sample) mean d. around expected mean-take sample mean and compare to this interval… inside or outside? i. If it falls outside the confidence interval you reject the null hypothesis e. Around observed i. Same thing 7. estimation is used after the null is rejected but its purpose it to find out how much of an effect the treatment had 8. cholesterol example-NO practicality because this is still bad cholesterol-not useful drug 9. BINOMIAL-non parametric statistics 10. nominal 11. dichotomous-yes or NO, two choices only 12. binomial is not continuous it is DISCRETE a. prob of getting 5 heads on 6 flips-it has to be 1 or 2 or 3…etc, can not be CONTINUOUS like 5.5 b....
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This note was uploaded on 03/26/2008 for the course STAT 0032 taught by Professor Dicorcia during the Spring '08 term at Tufts.

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