lecturenotesstatistics

# lecturenotesstatistics - MBA 604 Introduction Probaility...

This preview shows pages 1–6. Sign up to view the full content.

MBA 604 Introduction Probaility and Statistics Lecture Notes Muhammad El-Taha Department of Mathematics and Statistics University of Southern Maine 96 Falmouth Street Portland, ME 04104-9300

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
MBA 604, Spring 2003 MBA 604 Introduction to Probability and Statistics Course Content. Topic 1: Data Analysis Topic 2: Probability Topic 3: Random Variables and Discrete Distributions Topic 4: Continuous Probability Distributions Topic 5: Sampling Distributions Topic 6: Point and Interval Estimation Topic 7: Large Sample Estimation Topic 8: Large-Sample Tests of Hypothesis Topic 9: Inferences From Small Sample Topic 10: The Analysis of Variance Topic 11: Simple Linear Regression and Correlation Topic 12: Multiple Linear Regression 1
Contents 1D a t aA n a l y s i s 5 1 In t r odu c t i on. ................................. 5 2 G r aph i c a lM e th od s .............................. 7 3 Num e r i c a lm e s.............................. 9 4 P e r c en t i l e s................................... 1 6 5 Sample Mean and Variance F o rG r oup edD a t a .............................. 1 7 6 z - s c o r e..................................... 1 7 2 Probability 22 1 S amp l eSp a c eandEv t s .......................... 2 2 2 Probability of an event. ........................... 2 3 3 Laws of Probability. ............................. 2 5 4 C oun t in gS l eP o t s ........................... 2 8 5 R and omS l g .............................. 3 0 6 M e l gUn c e r t a t y............................. 3 0 3 Discrete Random Variables 35 1 R omV a r i ab l e s............................... 3 5 2 Exp e c t edV a lu eandV a r i an c e ........................ 3 7 3 D i s c r e t eD i s t r ibu t i on s............................. 3 8 4 M a rk o vCh a s ................................ 4 0 4 Continuous Distributions 48 1 t r c t i 4 8 2 Th eN o rm a lD i s t r t i .......................... 4 8 3 Un i f o :U [ a ,b ]................................ 5 1 4 Expon t i a l .................................. 5 2 2

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
5 Sampling Distributions 56 1 Th eC en t r a lL im i tTh e o r em(CLT ) ..................... 5 6 2 S amp l in gD i s t r ibu t i on s............................ 5 6 6 Large Sample Estimation 61 1 In t r odu c t i on. ................................. 6 1 2 P o tE s t a t o r sandTh e i rP r op e r t i e s ................... 6 2 3 S g l eQu an t i t a t iv eP opu l a t i on . ...................... 6 2 4 S g l eB om i a lP l a t i ........................ 6 4 5 Tw oQu t i t a t l a t i s........................ 6 6 6 oB i a l a t i s.......................... 6 7 7 Large-Sample Tests of Hypothesis 70 1 E l em t so faS t a t i s t i c a lT e s t ........................ 7 0 2 AL a r g e -S l eS t a t i s t i c a e s t....................... 7 1 3 T e s t gaP l a t i onM e an. ......................... 7 2 4 T e s t l a t i onP r opo r t i 7 3 5 C omp a r gTw oP l a t i e s ..................... 7 4 6 C a r l a t i r r t i s .................. 7 5 7 R epo r t gR e su l t fS t a t i s t i c a e s t s :P -V a lu e............... 7 7 8 Small-Sample Tests of Hypothesis 79 1 t r c t i 7 9 2 Student’s t D i s t r t i .......................... 7 9 3 Sm a l l l eIn f e r c e sAbou taP l a t i e an . ........... 8 0 4 Small-Sample Inferences About the DiFerence Between Two Means: In- d ep end tS l e s .............................. 8 1 5 Small-Sample Inferences About the DiFerence Between Two Means: Paired S l e s .................................... 8 4 6 f e r c e l a t i onV a r i c e .................. 8 6 7 C a r l a t i a r i c e s.................... 8 7 9 Analysis of Variance 89 1 t r c t i 8 9 2 On eW a yANOVA :C l e t e lyR and i z edExp e r t a lD e s i gn . ... 9 0 3 eR i z edB l o c kD e s i gn. ....................... 9 3 3
10 Simple Linear Regression and Correlation 98 1 In t r odu c t i on. ................................. 9 8 2 A Simple Linear Probabilistic Model ....................

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

## This note was uploaded on 11/08/2009 for the course ISYE 2028 taught by Professor Shim during the Spring '07 term at Georgia Institute of Technology.

### Page1 / 117

lecturenotesstatistics - MBA 604 Introduction Probaility...

This preview shows document pages 1 - 6. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online