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ECON 3640  Prob&stat Inference  Utah Study Resources
 University Of Utah (Utah)
 Mayne, C

E1_Prac_F12
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Practice Questions #1 Fall 2012, Hyeon Kim Practice Questions for the 1st Midterm 1. The first midterm will cover from chapter 1 to chapter 3. 2. This practice questions will be the best material for the exam: All of exam questions will be s

Lecture_7
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Lecture Note #7 Fall 2012, Hyeon Kim Lecture Note #7 Inference for Distributions (Chapter 7) 1. Inference for the mean of a population Both confidence intervals and tests of significance for the mean of a Normal population are based on the s

Lecture_6
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Lecture Note #6 Fall 2012, Hyeon Kim Lecture Note #6 Introduction to Inference (Chapter 6) 1. Introduction Note that Methods for drawing conclusions about a population from sample data are called statistical inference. Which Methods? Confi

Lecture_5
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Lecture Note #5 Fall 2012, Hyeon Kim Lecture Note #5: Probability Theory (Chapter 5) 1. General probability rules Reminder of general rules for probability (from Chapter 4) 1. 0 P ( A) 1 ; 2. P ( S ) 1; S=sample space 3. Complement rule: For

Lecture_4
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Lecture Note #4 Fall 2012, Hyeon Kim Lecture #4: Probability and Sampling Distributions (Chapter 4) 1. Randomness Terminology A phenomenon is random if individual outcomes are uncertain, but there is nonetheless a regular distribution of ou

Lecture_3
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Lecture Note #3 Fall 2012, Hyeon Kim Lecture #3: Producing Data (Chapter 3) Introduction Now we turn to statistical ideas for producing data and the concept of statistical inference: observation and experiment. Observation and experiment Ob

Lecture_2
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Lecture Note #2 Fall 2012, Hyeon Kim Lecture #2: Examining Relationships (Chapter 2) Introduction Most statistical studies involve more than one variable in which we are usually interested in the relationships between those variables. Specif

Lecture_1
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Lecture Note #1 Fall 2012, Hyeon Kim Lecture #1: Examining Distributions (Chapter 1) Introduction In a study, we collect informationdatafrom individuals. Individuals can be people, animals, plants, or any object of interest. A variable is an

Lecture_0
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Lecture Note_Intro Fall 2012, Hyeon Kim Lecture_Intro: What Is Statistics? (Reference: Dennis D. Wackerly, William Mendenhall III and Richard L. Scheaffer, Mathematical Statistics with Applications, sixth edition, Duxbury, 2002) Statistical

3640F12s
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Fall 2012 Probability and Statistical Inference for Economists Classroom and Schedule: WEB L114, T. H. 9:10  10:30 am Office Hours: By appointment Instructor: Hyeon Kim Office: OSH #357 Contact Info: epigonos.oikos@gmail.com Course Descript

E3_Prac_F12
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Practice Questions (Final) Fall 2012, Hyeon Kim Practice Questions for the Final 1. The final exam will cover from chapter 6 to chapter 8. 2. This practice questions will be the best material for the exam: All of exam questions will be simil

E2_Prac_F12
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Practice Questions #2 Fall 2012, Hyeon Kim Practice Questions for the 2nd Midterm 1. The second midterm will cover from chapter 4 to chapter 5. 2. This practice questions will be the best material for the exam: All of exam questions will be

Lecture_8
School: Utah
Course: Prob&Stat Inference
Econ 3640001 Lecture Note #8 Fall 2012, Hyeon Kim Lecture Note #8 Inference for Proportions (Chapter 8) 1. Inference for a single proportion Many studies collect data on categorical variables, such as race or occupation of a person, the make of a car, et