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4434Introduction to SAS. UCLA: Statistical Consulting Group.
http://www.merlot.org/merlot/viewMaterial.htm?id=755513
UCLA Statistical Consulting Classes and Workshops available online:- Stata-SAS-SPSSCreare un sondaggio on line con Google docs
http://www.merlot.org/merlot/viewMaterial.htm?id=726975
Si tratta di un tutorial che spiega come realizzare in pochi minuti un sondaggio on line utilizzando le funzionalità di Google Docs. It's a tutorial that explain how to create an on-iine survey using Google Docs in a few minutesWISE Power Tutorial
http://www.merlot.org/merlot/viewMaterial.htm?id=686965
This tutorial is designed to provide a conceptual, non-mathematical, overview of the factors that affect power. You will learn how statistical power is influenced by four features of the test situation: the size of the difference between the actual population mean and the null hypothesized mean (μ1 – μ0); variability of scores within groups (σ); sample size (n); and alpha error (α). Further, you will use an interactive applet that allows you to manipulate features of the test situation and immediately see the effect on statistical power. The mathematics for power calculations are provided at the end of this tutorial.Classification for maximum utility
http://www.merlot.org/merlot/viewMaterial.htm?id=679227
Optimal classification of cases into two groups must consider the costs of the different types of errors, the benefits of different correct decisions, as well as the base rates for the two populations. The WISE Util applet calculates classification rules to maximize classification utility. The program takes into account population base rates and means and variances of the test score distributions, and the benefit of a correct classification into each of the two groups and the cost of an incorrect classification into each of the two groups. The program interactively displays the model’s underlying weighted normal distributions, cutting scores which designate predicted group membership, expected classification accuracy, and expected utility.Text Mining Twitter, a STATISTICA Case Study
http://www.merlot.org/merlot/viewMaterial.htm?id=662858
Social media analysis is growing area of study. In this case study, we will look at how STATISTICA Text Miner was used to analyze buzz on Twitter and continually track and monitor it. The tools helped to uncover trends and then to find the root cause of those trends. In monitoring of overall sentiment, automatic alerts when sentiment starts to change proved to be very beneficial.Regresión lineal
http://www.merlot.org/merlot/viewMaterial.htm?id=583479
Material básico para abordar el concepto de regresión lineal.Introduction to the Standard Normal Distribution Curve
http://www.merlot.org/merlot/viewMaterial.htm?id=551595
This video provides a brief introduction to the standard normal dstribution curve. Lesson Plan: Univariate Statistics (Visual Representations), Student generated content via WIki
http://www.merlot.org/merlot/viewMaterial.htm?id=533900
A simple lesson in which students are asked to research various visual representations of univariate statistics. Students are asked to work collaboratively on a wiki page to present the representations. Focus is given to:1. Constructing the representation. 2. Explaining the relative strengths and weaknesses3. Applying the representations to a "real world" contextDiseño Experimental
http://www.merlot.org/merlot/viewMaterial.htm?id=469731
Fundamentos del Diseño Experimental. El Ingeniero y la experimentación. La necesidad de la experimentacion. Los ModelosConfidence Interval Tutorial
http://www.merlot.org/merlot/viewMaterial.htm?id=443286
This tutorial introduces students to the basics of confidence intervals in a Q & A format with options for entering answers to questions and having those answers checked.