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STATISTICS 503 - FALL 2004

STATISTICAL METHODS IN BIOLOGY

scores  schedule  deadlines

 

  • 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. 

    • Logon to your Blackboard account between Monday, August 23 and Friday, August 27.

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

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

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

    • 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, before August 23rd, download "attendance1", "attendance2", ..., "attendance14" given below and start answering the questions.  The homework questions, "hmk1", ..., "hmk7" 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 Blackboard.  All answers must be submitted through Blackboard; WebCT allows me to not only keep track of the material you submit but also allows me to grade your submissions.

    •  

  • WEEK 1. August 23,25

    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  not handed in

    • Answer the questions from hmk1  selected at random for you by the Blackboard on or before 4 am (West Lafayette, Indiana, time) Friday, September 3.  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 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.

    • Check how you did on your homework assignment by looking your score up at scores after 9 pm (West Lafayette, Indiana, time) Friday September 3.  Use your ID number to locate your score under the column H1.

    •  

  • WEEK 2. August 30; September 1

    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  not handed in

    • The Blackboard quiz to be done on or before 4 am Friday, September 10.  One 20 minute timed submission is allowed; each student does the quiz by themselves with no help from others.

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

    • TI83-lab2 not handed in.

    • Check how you did on your quiz by looking your score up at scores after 9 pm (West Lafayette, Indiana, time) Friday, September 10.  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.

    •  

  • Labor Day Holiday, September 6

    •  

  • WEEK 3. September 8

    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

  • WEEK 4. September 13,15

    Chapter 3. Statistical Inference: Basic Concepts:

        3.6 Some Useful Sampling Distributions

        3.7 Types of Statistical Inference

        3.8 Estimating Parameters

  • WEEK 5. September 20,22

    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 27,29

    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 4,6

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

        4.4 Inferences About Variances

        (omit 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 11,12

    •  

  • WEEK 8. October 13

    Chapter 6. Inferences About One or Two Populations: Categorical Data

    (omit Chapter 5. Inferences About One or Two Populations: Ordinal Data)

  • WEEK 9. October 18,20

    Chapter 7. Designing Research Studies

        7.1 Introduction

        7.2 Some useful terminology

        7.3 Tools for developing experimental designs

        (omit 7.4 Statistical Models and experimental designs)

        (omit 7.5 Determining sample sizes)

  • WEEK 10. October 25,27

    Chapter 8. Single-Factor Studies: One-Way ANOVA

        8.1 Introduction

        8.2 Completely randomized designs

        8.3 Analysis of variance (ANOVA)

        8.4 Analysis of CRD: Computational details

        (omit 8.5 The one-way classification model)

        8.6 Checking for violations of assumptions

        8.7 Analysis of transformed data

        (omit 8.8 One-way classified ordinal data)

        (omit 8.9 One-way classified nominal data)

  • WEEK 11. November 1,3

    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 8,10

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

        9.5 Multiple Pairwise Comparison of Means

        9.6 Simultaneous Confidence Intervals For Contrasts

        9.7 Predicting Linear Functions of Sample Means

        (omit 9.8 Determining Sample Size)

  • Last day to drop the course, November 19

    •  

  • WEEK 13. November 15,17

    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 24-26

    •  

  • WEEK 14. November 22

    Chapter 10. Simple Linear Regression

        10.6 Simultaneous Inferences

        10.7 Checking Assumptions

        10.8 The Correlation Coefficient

        (omit 10.9 Determining Sample Sizes)

        (omit 10.10 Regression When ANOVA Assumptions Are Violated)

  • WEEK 15. November 29; December 1

    Review

  • WEEK 16. December 6,8

    Review

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

    •  

  • WEEK 17. December 13-19

    Final Exam