Unformatted text preview: Below this, in the Sample means plot, you see the sample means from 1000 random samples of size 2. 3 What is the range of the sample means in this simulated sampling distribution? 4 What is the shape of the simulated sampling distribution? 5 Sketch the simulated sampling distribution, when n = 2, in the box below. Run the simulation for
sample sizes n = 10, and n = 30. Sketch your results in the boxes below. For each simulation, set N = 1000 so 1000 random samples are created. Uniform Population n=2
n = 10 n = 30 6 What happens to the center and variability of the simulated sampling distribution when the sample size increases to n = 30? © 2011 THE CARNEGIE FOUNDATION FOR THE ADVANCEMENT OF TEACHING A PATHWAY THROUGH STATISTICS, VERSION 1.6, STATWAY™
STUDENET HANDOUT STATWAY™ STUDENT HANDOUT  3 Lesson 10.1.2 Central Limit Theorem for Sample Means 7 Identify the mean and standard deviation (or error) of the simulated sampling distribution when n = 30. How do they compare to the mean and standard deviation of the population? Sampling from a Skewed Right Population We will now sample from a population whose distribution is skewed right. We will again simulate 1000 random samples using three different sample sizes. Set the Population type to Skewed, and then click the Reset button. If you want to make the population distribution more skewed, drag your mouse pointer along the population graph and adjust the shape. Set the sample size, n, to 2 and set the number of samples, N, to 1000 Click Sample 8 What is the range of the sample means in this simulated sampling distribution? 9 What is the shape of the simulated sampling distribution?...
View
Full Document
 Spring '14

Click to edit the document details