Study Guides (248,010)
Canada (121,224)
Geography (224)
GGR270H1 (28)

Week 7 Study Notes

4 Pages
Unlock Document

Damian Dupuy

GGR 270 Lecture 7 October 27, 2010 Central Limit Theorem II The frequency of sample means will be normally distributed When the sample size is large, the sample mean is likely to be quite close to the population mean A large sample is more likely to be closer to the true population mean than a smaller sample Variability Standard deviation of the sampling distribution is equal to the sample standard deviation divided by the square root of the sample size This is called the standard error of the mean o Indicates how much a typical sample mean is likely to differ from the true population mean o Measures the amount of sampling error o The larger the sample size (n), the smaller the amount of sampling error How large is large If sampled population is normal, then sampling distribution of means will also be normal, no matter what the sample size If the sampled population is approximately normal, then the sampling distribution of means will be approximately normal for relatively small sample sizes When the population is skewed, the sample size must be large (n>30) before the sampling distribution will become normal Sample Estimation
More Less

Related notes for GGR270H1

Log In


Join OneClass

Access over 10 million pages of study
documents for 1.3 million courses.

Sign up

Join to view


By registering, I agree to the Terms and Privacy Policies
Already have an account?
Just a few more details

So we can recommend you notes for your school.

Reset Password

Please enter below the email address you registered with and we will send you a link to reset your password.

Add your courses

Get notes from the top students in your class.