2012 - Summer of "The Magnificent Seven"
NOW ALL DONE. 100% finished.
Remember you can bring a cheat sheet to the exam: 8 1/2 by 11 inch standard paper. It can be covered front and back with hand-written (pen or pencil) notes, equations, whatever you want.
Handout from day #1: Chapter 15: Tests of Significance: The Basics concepts and practice problems. NULL and ALTERNATIVE HYPOTHESIS. P-VALUES. SIGNIFICANCE.
Handout from day #1: Chapter 15 Power Point used in weeks #1 and #2.
x - mu z = -------------- Nobody who has ever taken statistics should need sigma the formula to standardize an X and convert it into a Z-score, i.e. a standardiZed score. How far is the observed value from the mean or the X-bar divided by the standard deviation? That Z-score formula is like July 4th or 1776 or December 7th, 1941 for American history! Recall the 68, 95, 99.7 Empirical Rule Within 1 or 2 or 3 standard deviations of the mean. Studied during first 5 weeks and first summer (2010) of statistics.
What up kid? You say stat is rough, hurtin your head. When you got stuck, you should a asked me instead. firstname.lastname@example.org ... Quit flippin. Talkin about stat is so tough. Make sure you listen to the lesson while we're telling you stuff. ... ... but if you wanna get a correct solution first you must assume a normal distribution. N(0, 1) equal variance is a needed feature... ... (X - mu) (X - mean) and we told you to remember this forever z = -------------- = ---------- observed minus mean over standard error sigma standard dev ... sometimes two variables in the ranges one can predict how the other changes if you got this distinct impression you're in need of some linear regression Beta nought is where you cross the y B B beta one is the slope of the line 0 1 y = a + mx intercept = a = beta nought = B0 slope = m = beta one = B1 Which model is best, which is robust which model leaves the others in the dust
Try out the Textbook Java Applet application for more experience with Normal Distributions and to check your z-score work.