Actively Enrolling: Sample Size Determination Three lessons in
three weeks. 12 September to 3 October 2008. Cost $299 or $249 if you register
before 30 August.
Students, faculty and
research workers at academic institutions are eligible for a further $50
discount.
Introduction to R. Three lessons in three weeks. 12 September to 3 October 2008. R has more functions than any other statistics language, plus a world-wide user base. $304 (or $254 if you register before 30 August) (Further discount of $50 for students, faculty, and research workers at academic institutions.)
Statistics for Quality Control. A must for anyone with QC or PC responsibilities. Write courses@statisticsonline.info for additional information.
Time Series Analysis. Need to forecast part sales, epidemics, or demand for your product? Write courses@statisticsonline.info for additional information.
Introduction to R. Three lessons in three weeks. 12 September to 3 October 2008. R has more functions than any other statistics language, plus a world-wide user base. $304 (or $254 if you register before 30 August) (Further discount of $50 for students, faculty, and research workers at academic institutions.)
Learn Statistics Through Applications. An easy introduction to the basic concepts of statistics. Three lessons in three Weeks. August 8th - August 31st, 2008. $245. Early Bird (before July 31st) discount of $50.
Modeling with R. Three lessons in three weeks. 18 July -11 Aug 2008. OLS, EIV, QR, and CART plus validation. $300. Early Bird (by 30 June) discount of $75. A further $50 discount for students, faculty, and research workers at academic institutions.
How would you test for correlation greater than 0.8? What's a confidence interval for the 40th percentile? Take Applications of Bootstrap, CART and Permutation Methods to find out. $324. ($254 for students, faculty, and research workers at academic institutions.) Plus Early Bird discount of $50. Write courses@statisticsonline.info for dates of our next offering.
Here's what a participant in our last session had to say, "This has been a very great course. I'm most glad having attended it. I learned a lot. Understood the difference between bootstrap and permutation. The assignments were very challenging and instructive yet just difficult enough not to discourage the beginner. I had a glimpse on the problem of type II errors. And, ice on the cake, I received precious pointers giving new insight into a work in progress. Heartfelt thanks."
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to obtain discounts.
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For inquiries about any of our courses,
contact 714/960-8070 or courses@statisticsonline.info.
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Comparison of the Bootstrap and the Permutation test
The Use and Misuse of Permutation Tests
The Analysis of Crossover Designs
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