Introduction to Statistics II

STA 3024 : Section 0751
Spring 2005

Instructor: Sourish Saha

Syllabus

Calendar

Textbook:

The Introduction to the Practice of Statistics, 4th Edition, by David S. Moore and George McCabe

Announcement Page

Lecture Notes:

Review – STA 2023		Formula-Sheet (STA 2023) Formula-Sheet (STA 3024) Z-table | t-table | F-table | ChiSquare-table
Chapter 10 - Inference For Regression	Examples-Ch10
Chapter 11 - Multiple Linear Regression
Chapter 12 - One-Way ANOVA	Applet
Chapter 13 - Two-Way ANOVA	Practice Problems-Exam2
Chapter 9 - Analysis Of Two-Way Tables
SPSS – Software	Summary of Statistical Procedures
Chapter 14 – Nonparametric Tests
Chapter 15 – Logistic Regression	Formula-Sheet (Ch 15)

Homework	Statistical Applets	Statistical Software Learn Minitab Learn SPSS
Calculator Info	Distribution Tables

Grades

Exam 3 grades will be posted on May 2^nd & Final Grades will be available on the same day through ISIS.

Exam & Quiz:

Exam 1 – Feb 9 (covers Ch 10,11)	Quiz 1 – Jan 24
Exam 2 – Mar 16 (covers Ch 12,13)	Quiz 2 – Feb 23
Exam 3 – Apr 11 & Apr 20 (see Calendar)	Quiz 3 + Extra Credit – Apr 1
The 3 Exams will determine 75% of your grade (each exam is worth 25%).	Out of three quizzes the lowest one will be dropped. So the 2 quizzes will be worth 25% of your grade (each quiz is worth 12.5%).
All the exams and quizzes will be given in the class. The questions will not be multiple choice type. Formula sheet and relevant distribution tables will be provided. Please bring your own calculator.

Course Outline:

Review: Introduction to Statistics I (Basic probability concepts, random variables, sampling distributions, central limit

theorem. Large and small sample confidence intervals and significance tests for parameters associated with a single population

and for comparison of two populations.)

Concepts from STA 2023 will be reviewed as needed. Introduction to Statistics II focuses on the following topics:

· An introduction to the analysis of variance.

· Simple and multiple linear regression methods with applications.

· Analysis of count data: chi-square and contingency tables.

· Nonparametric statistical methods and applications.

· Logistic Regression.

Course Website: www.stat.ufl.edu/~ssaha/3024.html

Office Hours: Monday & Wednesday – 6^th period. (Office # : FLO 218)

TA : Rob O'Brien (Email id: therobuf@hotmail.com )

TA’s Office Hours: Tuesday & Thursday : 2 – 4 pm (Office # : FLO 105)

Make sure you go during his office hours if you have any questions regarding the lecture notes or examples or HW

problems. An Instructor's Guide with Solutions Manual with answers to all homework problems is also available at

the TA’s office hours.