Chapter 08 - Sections 1 &amp; 2

# Chapter 08 - Sections 1 &amp; 2 - Part IV Inference:...

This preview shows pages 1–12. Sign up to view the full content.

Part IV Inference: From Samples to Population (Our Ultimate Destination) Fall 2008 1

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

View Full Document
Chapter 8 Sampling Distributions Fall 2008 2
Overview A new sample mean can be calculated each time a new sample is taken from the same population In this way, the sample mean can be analyzed as a random variable Being able to calculate (approximately) the distribution of the sample mean is a critical tool for inference Fall 2008 3

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

View Full Document
Chapter 8 Section 1 Distributions of the Sample Mean Fall 2008 4
Chapter 8 – Section 1 Learning objectives Understand the concept of a sampling distribution Describe the distribution of the sample mean for samples obtained from normal populations Describe the distribution of the sample mean for samples obtained from a population that is not normal Fall 2008 5

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

View Full Document
Distribution of the Sample Mean Often the population is too large to perform a census … so we take a sample How do the results of the sample apply to the population? What’s the relationship between the sample mean and the population mean What’s the relationship between the sample standard deviation and the population standard deviation? and the population mean? This is statistical inference Fall 2008 6
Distribution of the Sample Mean We want to use the sample mean x to estimate the population mean μ If we want to estimate the heights of eight year old girls, we can proceed as follows Randomly select 100 eight-year-old girls Compute the sample mean of the 100 heights Use that as our estimate This is using the sample mean to estimate the population mean Fall 2008 7

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

View Full Document
Distribution of the Sample Mean However, if we take a series of different random samples Sample 1 – we compute sample mean x 1 Sample 2 – we compute sample mean x 2 Sample 3 – we compute sample mean x 3 Etc. Fall 2008 8
Distribution of the Sample Mean Because the sample mean is a random variable The sample mean has a mean The sample mean has a standard deviation The sample mean has a probability distribution This is called the sampling distribution of the sample mean Helpful Hint: Look over Example 1 on p.376 of your textbook. Fall 2008 9

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

View Full Document
Distribution of the Sample Mean The sampling distribution of the sample mean depends upon these parameter Sample size n Mean μ of the population Standard deviation σ of the population Let’s illustrate this concept with an example Fall 2008 10
Distribution of the Sample Mean 0 1 2 3 4 5 6 7 8 9 10 11 0.00 0.04 0.08 0.12 0.16 0.20 0.24 0.28 Values of X Population Proportion Population Distribution From Which We Will Take Samples We will be taking samples from the following distribution: This distribution is skewed to the right and looks nothing like a normal curve.

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

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

## This note was uploaded on 10/15/2008 for the course STAT 250 taught by Professor Sims during the Fall '08 term at George Mason.

### Page1 / 35

Chapter 08 - Sections 1 &amp; 2 - Part IV Inference:...

This preview shows document pages 1 - 12. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online