SOCI 311 Lecture Notes - Lecture 7: Standard Deviation, Sampling Distribution, Standard Score
10 Nov 2017
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10 +/- . 5 10+/- 2. 750 (. 5: gives m of e is 1. 375, 99% c. i is between 8. 625 and 11. 375. Example: mean in football = 7. 8 and mean in hockey= 8 these are sample means which does not represent the population mean accurately, when you build out the interval they overlap. Example: people without a college degree had a mean of bmi of 27. 093. People with college degree had a mean of bmi of 26. 985 sample mean not mean. Going to test the sample mean, start out the with idea that there is no difference in the population, calling it no hypothesis mu1=mu2. Then we look for evidence to reject the no hypothesis to get our research/ alterative hypothesis is that the 2 group means are not equal and we never directly test the research/alterative hypothesis, we always test the no hypothesis.
