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SOC202.FEB 7 2012. SP.docx

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Department
Sociology
Course
SOC202H1
Professor
Scott Schieman
Semester
Winter

Description
SOC202H1S Qualitative Analysis in Social Sciences February 7 2012 – Week 5 TG. SP. - Today we will talk about confidence interval 10 things you should know about C.I. 1. Confidence intervals are all about range of possible values of a parameter expressed  Whether or not if it is high or not, it is not based on entire population. It is sample-based. What if it’s wrong?  The quality of sample you have is essential  It is based on theoretical idea of the sample  If you can just come back to visualizing the concrete it will provide the estimate of the population  You have to translate it into a theoretical sample distribution. What is the possibility that you got Gwen Stefani? Very unlikely. 2. CIs are based on the notion that we use sample stats to estimate the value of a population parameter  Not a distribution of scores on the first test  The sample size matters and that is why sample size has influence on error 3. Calculation for a CI is as follows (refer to the slide)  Instead of memorizing formula the calculation is point estimate  The size of error is essential  How far am I off from the point?  To calculate the error term you need standard deviation.  The sample is really critical in this  Correlation between education and income is related. It doesn’t make sense to you now, it will later on after the first test. 4. Obtain the standard error  Go back to the idea of spread was small, like 7,8,7,8,7,8, it is very little spread. However, if it is 2,7,4,0,8, sample deviation is huge so
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