reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2006/11/although-we-have-not-formally-discussed.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Friday, November 17, 2006. Updated February 1, 2015). Although we have not formally discussed the issue of statistical power. The general idea has come up many times. In the SPSS examples we've worked through, we sometimes have observed what look like small relationships or differences, but which have turned out to be statistically significant due to a large sample size. In other words, large sample sizes give you statistical power. The c...
reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2010/11/this-week-well-be-covering-statistical.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Tuesday, November 16, 2010. This week we'll be covering statistical power. Also known as power analysis. Why a powerful design is needed:. The population may truly have a non-zero correlation, for example, but due to random sampling error, your sample may not; plus, some songs. Remember that there's also the opposite kind of error:. How to plan a study using power considerations. A SPORTS STATISTICS BOOK BY DR. REIFMAN. Math is Fun" Inter...
reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2007/09/well-next-be-moving-on-to-standardized.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Wednesday, September 26, 2007. Updated July 17, 2013). We'll next be moving on to standardized (or z. Scores and how they relate to the normal/bell curve and percentiles. For any given body of data, each individual participant can be assigned a z. Score on any variable. A z. Score is calculated as:. Individual's Raw Score on a Variable - Sample Mean on that Variable. Sample Standard Deviation on that Variable. Has a good overview of z.
reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2008/09/today-as-one-of-final-examples-of.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Friday, September 26, 2008. Updated September 29, 2014). To close out our coverage of probability, let's look at three brain-teasers. 1 One is the famous "Birthday Paradox." Upon first learning that a group size of only 23 people is necessary for the probability to be .50 that two of the people will have the same birthday, most observers find this very. Counterintuitive. The Wikipedia's page. Based on Mlodinow's writing, here's a diagram ...
reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2009/09/here-are-couple-of-photos-of-board.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Saturday, September 26, 2009. Updated July 17, 2013). If a body of data is normally distributed (i.e., follows the bell-shaped curve), we can convert an individual's z. Score on a given variable into a percentile. A percentile refers to the percentage of sample members an individual stands above on the variable. If we look at page 26 of Naked Statistics. We can translate any particular z. You can see how z. Where you can simply type in a z.
reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2006/09/as-you-know-i-like-to-find-real-life.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Wednesday, September 27, 2006. Updated March 14, 2015). As you know, I like to find real-life examples of the concepts covered in class. Standard deviations, z. Scores, etc., rarely come up in the public discourse. One place they do come up, however, is in the criteria for membership in Mensa, also known as the "high IQ society" (click here. Those of you who fly on American Eagle into and out of Lubbock, and read the American Way. Statist...
reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2008/09/i-have-now-corroborated-results-of-our.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Tuesday, September 23, 2008. I have now corroborated the results of our Michael Phelps/Mark Spitz Olympic swimming z-score class exercise, which I'll show below. This activity was inspired. By an earlier study published in the. That used z-scores to compare home-run sluggers of different eras. I shared the activity with two listserve discussion groups, those of the APA Division of Evaluation, Measurement, and Statistics. The two swam many...
reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2006/11/weve-previously-discussed-how-we-use.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Sunday, November 26, 2006. Updated November 23, 2015. Correlation or difference exists in the population. Non-zero" is not very specific, and we can do better! We cannot know an exact true population parameter (e.g., the population correlation. Unless we survey everyone in the population, as done in the U.S. Census. 05 significance. What we end up with is a. The definition is actually a little more technical, as shown in this document.
reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2010/11/here-are-direct-links-to-some-old-chi.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Wednesday, November 03, 2010. My introductory stat notes. For methods class have some introductory information on chi-square. Here are direct links to some old chi-square blog postings. This one discusses the reversibility error and how properly to read. An SPSS printout of a chi-square analysis. The other one illustrates the null hypothesis for chi-square analyses in terms of equal pie-charts. Plus a song (added November 1, 2011):. A SPO...
reifmanintrostats.blogspot.com
Dr. Alan Reifman's Intro Stats Page
http://reifmanintrostats.blogspot.com/2008/11/friday-well-be-covering-confidence.html
Quant Methods I (Human Dev and Family Studies 5349) at Texas Tech. Thursday, November 20, 2008. Updated November 23, 2015. The general form for calculating CI's is:. 95% CI = Sample estimate /- (1.96) (Standard Error). Eg, r or Mean). The specific forms of this calculation for CI's around a mean, a correlation, and a proportion, respectively, are shown here. Specifically Figures 7 and 8) explains why a step know as the Fisher z. Note how increasing one's sample size ( N. Lyrics by Alan Reifman. With 95%,...
