10-6-08 - Psychology 206 Class Notes 10/6/08 TODAY...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
Psychology 206 – Class Notes – 10/6/08 TODAY Finishing up with central tendency and variability Introducing Z-scores For Wednesday – Exercise #14 Read chapter 9 (pages 219-227) – complete You do NOT need to have all the zeros. YOU SHOULD STILL HAVE 4 ZEROS FOR EXERCISE #13, she wanted you to make a table consisting of: X Population mean (u) (x-u) (x – u)^2 To determine quantile: Middle score – 50% (2 nd quartile) QUESTION: What if you only have 6 observations how would you determine the 1 st quartile and 3 rd quartile (do you state decimals?)? If you were to take a sample of the population of Allegheny college students, you want to use the sample statistics equations. Xbar = Sample mean = M (APA format) 3 rd row equations on the EQUATION SHEET – UNBIASED ESTIMATORS
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
N = 5000 Population mean - ? Population variance = ? Imagine we take a sample from our population… N=300 scores drawn at random M = 101.25 S = 8.15 Then imagine we do it again and again (many times) Each sample will have a different set of values every time a sample was taken In the long run (sample after sample), if we were to take all of the samples that we would take, the mean of all the sample means would equal the population mean. The mean of M = population mean (u)
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 06/03/2009 for the course PSYCH 206 taught by Professor Kenney-benson during the Fall '07 term at Allegheny.

Page1 / 4

10-6-08 - Psychology 206 Class Notes 10/6/08 TODAY...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online