This is a QR code. A QR Code is a 2-dimensional barcode, which has encoded in it a URL (web address), text, or other information. It can be read by a QR code scanner, including QR scanner smartphone apps. Once you have an app installed on your smartphone, open the app and hold your phones camera over a QR code to read it. Most QR codes youll come across have a URL encoded, so chances are when you read the QR code it will take you to a web page.
Reviewed by members of Editorial board for inclusion in MERLOT.
Very good quality; in queue to be peer reviewed
Click to get more information on the MERLOT Editors' Choice Award in a new window.
Click to get more information on the MERLOT Classics Award in a new window.
Click to get more information on the MERLOT JOLT Award in a new window.
Search all MERLOT
Click here to go to your profile
Click to expand login or register menu
Select to go to your workspace
Click here to go to your Dashboard Report
Click here to go to your Content Builder
Click here to log out
Please give at least one keyword of at least three characters for the search to work with. The more keywords you give, the better the search will work for you.
select OK to launch help window
You are now going to MERLOT Help. It will open in a new window
For optimal performance of MERLOT functionality, use IE 9 or higher, or Safari on mobile devices
This applet estimates and plots the sampling distribution of various statistics (i.e. mean, standard deviation, variance). You specify the population distribution, sample size, and statistic. An animated sample from the population is shown and the statistic is plotted. This can be repeated to estimate the sampling distribution.
I really like using this applet to demonstrate the sampling distribution of the sample mean. This applet is different from other applets on the same topic because it allows you to have to different sample sizes on the same page. It is very nice to be able to have a comparison between, for example, the sampling distribution of the sample mean for n =5 and n = 10.
Very easy to use. Clearly illustrates the relationship between the target population, the sample, and the sampling distribution. The animation helps students keep the sampling process more firmly in mind. The user can easily vary the target population to show that the Central Limit Theorem holds for an arbitrary target population. Also, it was much easier to use than other applets I found because you do not have to stop to type in numbers. The user can select different distributions, sample sizes, and numbers of samples easily with the mouse.
I used the applet in my classroom to solidify the concepts I had already introduced through an actual sampling exercise in which each student brought a sample of 10 coins to class. We computed the mean of each sample together and I found it helped to have the applet to refer to the example and vice-versa. This applet is by far the best I was able to find on this topic, and will certainly enhance learning and teaching.