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STATISTICS 511 - FALL 2003

STATISTICAL METHODS

STAT 503 syllabus.pdf   general class syllabus.pdf   scores   schedule

  • PREPARATION

    • Make sure you are registered into this course.  If you are enrolled at Purdue University North Central (PNC), you can use SOLAR to do this.

    • Create (validate) your WebCT account. Create (validate), then log on to WebCT for this course between Monday, August 25 and Friday, August 29.  If you cannot create a WebCT account, look at the instructions first and then, if this fails, contact me immediately.  If you fail to create a WebCT account by 4 am (yes, 4am!) (CST), Friday, August 29th, I will not permit you to take this internet course.

    • Buy A TI-83 Calculator.  Buy either the TI-83 (or TI-83 plus, or TI-83 silver edition) calculator.  

    • Buy the text from the PNC bookstore:  Statistical Research in the Life Sciences.  The solution manual is also useful. 

    • Check out both the STAT 503 syllabus.pdf and the general class syllabus.pdf

    • Check out frequently asked questions asked by students.

    • Check out previous course material for previous quizzes, scores, student evaluations and other course material.

    • If you are anxious to start before the semester begins, download "attendance1.pdf", "attendance2.pdf", ..., "attendance14.pdf" given below and start answering the questions.  The homework questions, "hmk1.pdf", ..., "hmk7.pdf" are also given below for you start working on, if you wish.  You cannot send me--I will not accept--your answers, though, unless you submit them through WebCT.  All answers must be submitted through WebCT; WebCT allows me to not only keep track of the material you submit but also allows me to grade your submissions.

    •  

  • WEEK 1. August 25,27

    Chapter 1. Statistics: Its Objectives and Scope

    Chapter 2. Describing Statistical Populations:

        2.1 Introduction

        2.2 Types of Population

        2.3 Describing Populations Using Distributions

        2.4 Describing Populations Using Parameters

    • attendance1.pdf is a document which gives questions based on the lecture given this week.  It is for your information; it is not handed in. 

    • Answer the questions from hmk1.pdf  selected at random for you by the WebCT on or before 4 am (CST) Friday, September 5.  Use the WebCT quiz/homework link to submit your homework assignment; do not use the WebCT email to send me your homework assignment!  Submit as many times as you want before the deadline, and receive the highest score of all the submissions.

    • TI83-lab1.pdf is a document which gives a list of all the TI-83 instructions used this week.  It is for your information; it is not handed in.

    • SAS-lab1.pdf is a document which gives a list of all of the SAS programs used in the attendance notes.  It is for your information; it is not handed in.

    • Check how you did on your homework assignment by looking your score up at scores after 9 pm (CST) Friday September 12.  Use your ID number to locate your score under the column H1.

    •  

  • Labor Day Holiday, September 1

    •  

  • WEEK 2. September 3

    Chapter 2. Describing Statistical Populations:

        2.5 Some Discrete Populations

        2.6 Some Continuous Distributions

        2.7 The Critical Values of a Probability Distribution

        2.8 Using Computers to Describe Populations

    • attendance2.pdf not handed in

    • The WebCT quiz to be done on or before 4 am Friday, September 12.  One 20 minute timed submission is allowed; each student does the quiz by themselves with no help from others.

    • Check out practice quiz1.pdf  questions to help you prepare for this quiz; these questions are not handed in.

    • TI83-lab2.pdf not handed in.

    • SAS-lab2.pdf not handed in.

    • Check how you did on your quiz by looking your score up at scores after 9 pm (CST) Friday, September 12.  Use your ID number to locate your total score, which is given in the third-to-last column under TT, and your current grade, which is given under the next-to-last column under G.

    •  

  • WEEK 3. September 8,10

    Chapter 3. Statistical Inference: Basic Concepts:

        3.1 Introduction

        3.2 Simple Random Samples

        3.3 Describing Samples

        3.4 Sampling Distributions

        3.5 Sampling Distribution of the Sample Mean

        3.6 Some Useful Sampling Distributions

  • WEEK 4. September 15,17

    Chapter 3. Statistical Inference: Basic Concepts:

        3.7 Types of Statistical Inference

        3.8 Estimating Parameters

  • WEEK 5. September 22,24

    Chapter 3. Statistical Inference: Basic Concepts:

        3.9 Testing Hypotheses

        3.10 Predicting Future Values

        3.11 The Role of Normal Distributions In Statistical Inference

  • WEEK 6. September 29; October 1

    Chapter 4. Inferences About One or Two Populations: Interval Data:

        4.1 Introduction

        4.2 Scales of Measurement

        4.3 Inferences About Means 

  • WEEK 7. October 6,8

    Chapter 4. Inferences About One or Two Populations: Interval Data:

        4.4 Inferences About Variances

        4.5 Statistical Models

        4.6 Predicting Future Observations

        4.7 The Assumptions to t, Chi and F Test Procedures

        4.8 Overview

  • Mid-semester Break, October 13,14

    •    

  • WEEK 8. October 15

    Chapter 6. Inferences About One or Two Populations: Categorical Data (skip Chapter 5. Inferences About One or Two Populations: Ordinal Data)

  • WEEK 9. October 20,22

    Chapter 7. Designing Research Studies (skip 7.4 and 7.5)

  • WEEK 10. October 27,29

    Chapter 8. Single-Factor Studies: One-Way ANOVA (skip 8.9 One-Way Classified Nominal Data)

  • WEEK 11. November 3,5

    Chapter 9. Single Factor Studies: Comparing Means and Determining Sample Size

        9.1 Introduction

        9.2 Comparisons Specified Before Performing the Experiment

        9.3 Testing Contrasts Suggested By Data

        9.4 Multiple Comparison of Means

  • WEEK 12. November 10,12

    Chapter 9. Single-Factor Studies: Comparing Means and Determining Sample Sizes (skip 9.8 Determining Sample Size)

        9.5 Multiple Pairwise Comparison of Means

        9.6 Simultaneous Confidence Intervals For Contrasts

        9.7 Predicting Linear Functions of Sample Means

  • Last day to drop the course, November 21

    •  

  • WEEK 13. November 17,19

    Chapter 10. Simple Linear Regression:

        10.1 Introduction

        10.2 The Simple Linear Regression Model

        10.3 Estimating Parameters

        10.4 Inferences About Expected and Predicted Responses

        10.5 Simple Linear Regression in an ANOVA Setting

  • Thanksgiving Vacation, November 26-28

    •  

  • WEEK 14. November 24

    Chapter 10. Simple Linear Regression (skip 10.9 Determining Sample Sizes, 10.10 Regression When ANOVA Assumptions Are Violated)

        10.6 Simultaneous Inferences

        10.7 Checking Assumptions

        10.8 The Correlation Coefficient

  • WEEK 15. December 1,3

    Review

  • WEEK 16. December 8,10

    Review

    • Do you know when and where you are going to write your supervised final exam? 

    •  

  • WEEK 17. December 13-19

    Final Exam