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A search of MERLOT materialsCopyright 1997-2015 MERLOT. All rights reserved.Sat, 31 Jan 2015 02:48:17 PSTSat, 31 Jan 2015 02:48:17 PSTMERLOT Search - userId=400648http://www.merlot.org:80/merlot/images/merlot.gif
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4434Stat2Labs
http://www.merlot.org/merlot/viewMaterial.htm?id=447977
The site includes guided interdisciplinary labs for first and second courses in statistics. As stated on the homepage for this site, "This site presents workbook-style, project-based material that emphasizes real world applications and conceptual understanding. This material is designed to give students a sense of the importance and allure of statistics early in their college career. By incorporating many of the successful reforms of the introductory statistics course into a wide range of more advanced topics we hope that students in any discipline can realize the intellectual content and broad applicability of statistics.״Practice Classifying Statistics Problems
http://www.merlot.org/merlot/viewMaterial.htm?id=564968
On this site, students can practice classifying statistics problems. They first click to check the statistical methods that they want to practice classifying. Then they click the "Submit" button to get a description of a research project that involves a statistical technique. Students then click on the technique that will most likely be used in the project. If they choose the incorrect answer, they must read the hint and try again. When they get something correct, they click on the "Next" button to try another problem.Theory Behind Linear Regression
http://www.merlot.org/merlot/viewMaterial.htm?id=611033
This applet demonstrates the theory behind linear regression.Least Squares Demo
http://www.merlot.org/merlot/viewMaterial.htm?id=611002
This is an applet that demonstrates least squares regression.Math Notation via E-mail
http://www.merlot.org/merlot/viewMaterial.htm?id=582636
This site contains lots of helpful hints about how to easily type different mathematical expressions in e-mail messages (or in online discussion forums). This might be particularly helpful for online instructors who want students to talk about problems and share their work with others within the online environment.The Central Limit Theorem: How to Tame Wild Populations
http://www.merlot.org/merlot/viewMaterial.htm?id=586732
Using a parameter it's possible to represent a property of an entire population with a single number instead of millions of individual data points. There are a number of possible parameters to choose from such as the median, mode, or interquartile range. Each is calculated in a different manner and illuminates the data from a different point of view. The mean is one of the most useful and widely used and helps us understand populations. A population is simulated by generating 10,000 floating point random numbers between 0 and 10. Sample means are displayed in histograms and analyzed.Contingency Tables
http://www.merlot.org/merlot/viewMaterial.htm?id=627519
This applet simulates experiments using 2 x 2 contingency tables. You specify the population proportions and the sample size and examine the effects on the probability of rejecting the null hypothesis.Statistical Power Tutorial and Applet
http://www.merlot.org/merlot/viewMaterial.htm?id=426107
This tutorial teaches students about statistical power and how it is influenced by a variety of features of the hypothesis testing situation. Students will be able to manipulate features of the test situation and see the effects on statistical power.WISE Bootstrapping Applet
http://www.merlot.org/merlot/viewMaterial.htm?id=710136
The WISE Bootstrapping Applet can be used to demonstrate bootstrapping by creating a confidence interval for a population mean or median. The user can manipulate the population distribution, sample size, and number of resamples. An associated guide gives suggestions for teaching bootstrapping.WISE Confidence Interval Game
http://www.merlot.org/merlot/viewMaterial.htm?id=729472
This is a game students can play where they are scored on how well they interpret overlap of confidence intervals.