# Iowa Math and Science Academy Statistics class I M S A 2012 - Summer of "The Magnificent Seven"

## FINAL EXAM: Study guide and outline of topics for the FINAL EXAM.               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.

1. Chapter 18 assignment and review of Monday, July 2nd class: Sweetening Colas variations along with assignment (due on Friday, July 6th).

2. Read Chapter 15 and study the power point slides handout. We'll finish covering chapter 15 on Wednesday.
Chapter 15 homework will NOT be due until FRIDAY!

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.

3. Read Chapter 14 - we'll start on Chap 14 on Friday. Chapter 14 PowerPoint slides from the textbook.

4. Quiz one will be on Friday, June 22nd.

5. VIP: jacobson@cs.uni.edu is my email address.

## jacobson@cs.uni.edu

Statistics Part II class (11 TTh): Sample versus Population Mean - YouTube video - 6 minutes 41 seconds.
Useful supplement to Chapter 8 - Producing Data: Sampling

1. Review of Sigma, Mu, X-bar used to distinguish between SAMPLE and POPULATION.
2. X with a line over it is called X-bar, by the way.
3. Also, mispronunciation of ARITHMETIC occurs, but its kind of funny and cute.
4. The SIGMA notation is used in an unusual way also. Hopefully, its not all GREEK to you. Just the SIGMA and the MU! :-)

The Basic Practice of Statistics: Textbook website for David S. Moore's book. You Tube video: Stat Rap - Iowa State Psychology statistics class.
```What up kid?
You say stat is rough, hurtin your head.

When you got stuck, you should a asked me instead.      jacobson@cs.uni.edu

...
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
```

Transcribed lyrics: ISU Stat Rap are about 90% complete. DV = Dependent Variable. IV = Independent Variable.