Class Notes (836,291)
United States (324,409)
Sociology (100)
SOC 282 (3)
Dr.Mullan (3)
Lecture

Lab Notes 2.13.14.doc

2 Pages
75 Views
Unlock Document

Department
Sociology
Course
SOC 282
Professor
Dr.Mullan
Semester
Spring

Description
Lab Notes 2.13.14 • Theoretical distribution of all possible sample values for the statistic in which we are interested. • Sampling error: the discrepancy between a sample estimate of a population parameter and the real population parameter • Sampling distribution of the mean: theoretical probability distribution of sample means that would be obtained by drawing from the population all possible samples of the same size. The mean of the sampling distribution of all possible sample means is denoted as mu of xbar • Standard error of the sampling distribution of sample meansL the standard deciation of the sampling distribution of the mean. It describes how much dispersion there is in the sampling distribution of the mean, often denoted as sima of xbar’ • The mean of the sampling distribution os all possible sample means equal to the population mean mu of xbar equals mu • The standard deviation of the sampling distrubtion of sample means (standard error) equals to the population standard deviation divided by the square root of n, where n is the sample size your draw sigma of xbar = sigma divided by square root of n • Central Limit Theorem o As the sample size increases, the sampling distribution of sample means gradually approximates the normal distribution regardless of the population distribution. o General form: z= (x of I minus xbar) divided by s of x o If the sampling distribution of sample means approximates
More Less

Related notes for SOC 282

Log In


OR

Join OneClass

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

Sign up

Join to view


OR

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.


Submit