MA 289

Statistics for the Sciences

Mark Parker

M W F, 2:00 - 2:50


Resources

Introduction

This is a new course in statistics being offered for students in the sciences that have taken calculus. We will focus the use of statistics in the experimental process: designing experiments, data analysis, and model building. We will cover the traditional introduction to statistics topics of descriptive statistics, inferential statistics, and regression with an eye towards the experimental research process.

This course satisfies the MA 207 requirement for any major.

Prerequisite: calculus: either Math 121 or Math 131.

Schedule

This schedule is tentative and may change as required.

Week Date Topic Homework Handouts
Week 1 Jan 10 Statapult   Statapult Experiment
  Jan 12 Introduction to Design of Experiments    
  Jan 14 Comparing Two Data Sets Lab 1: Comparing Two Data Sets boxplot.xls, dotplot.xls, balldata.xls
Week 2 Jan 19 Data Comparison    
  Jan 21 Data Comparison and Sampling Lab 2:Data Comparison and Sampling Histogram Demo
Sample Data Demo
Week 3 Jan 24 Comparing Two Treatments Lab 3: Comparing Two Treatments  
  Jan 26 Sample Distributions and Likelihood    
  Jan 28 Sampling Distributions Lab 4: Sampling Distributions Sampling Distributions Demo
Week 4 Jan 31

Bias and Efficiency

   
  Feb 2 The Normal Distribution    
  Feb 4 Testing for Normality Lab 5: Are You Normal? Lab 5 data
Week 5 Feb 7 No Class - Flu Day    
  Feb 9 No Class - Flu Day II    
  Feb 11 Confidence Intervals Lab 6: Confidence Intervals Confidence Intervals Demo
Week 6 Feb 14 Normal and Student's T Distribution   Student's T demo
  Feb 16 Normal and Student's T Distribution II    
  Feb 18      
Week 7 Feb 23 No Class - Flu Day II    
  Feb 25 Hypothesis Testing Lab 7: Hypothesis Testing  
Week 8 Feb 28 Hypothesis Testing - Forming and Testing   Where We Are
  Mar 2 Hypothesis Testing

Lab 8: Hypothesis Testing II
Hypothesis Testing Homework

Hypothesis Testing Example
  Mar 4 Work on Lab 8    
Week 9 Mar 14 Two Sample Tests: Paired Data    
  Mar 16 Two Sample Tests: Independent Data    
  Mar 18 Two Sample Tests: Independent Data    
Week 10 Mar 21 Two Sample Tests Lab Lab 9: Two Sample Tests Lab  
  Mar 23 (Montclair Trip) Work on Exam 1 Exam 1 Lab 7 solutions
Lab 8 solutions
Hypothesis Homework Solutions
Week 11 Mar 30 Binomial Distribution and Proportions    
  Apr 1 Yet Another Sick Day    
Week 12 Apr 4 Proportions Lab 10: Proportions In a Nutshell
  Apr 6 Proportions II Lab 11: Bigger Proportions  
  Apr 8 Proportions Wrap up - Intro to Design of Experiments    
Week 13 Apr 11 Designing an Experiment, Part I    
  Apr 13 Introduction to Regression Lab 12: Regression
data file
 
  Apr 15 Regression, Part II Lab 13: Regression Workout  
Week 14 Apr 18 Multiple Regression and Modeling Statpult Lab  
  Apr 20 Multiple Regression lab Lab Statapult Lab, Part II Multiple Regression
Multiple Regression Excel file
  Apr 22      
Week 15 Apr 25      
  Apr 27      
  Apr 29      
  May 3 Final Exam - Tuesday: 1:00 - 2:45    

Grading

Assignment Percentage
Homework, Labs, and In-Class Work 50%
2 Big Quizzes 30%
Final Exam 20%

Your grade will translate to a letter grade as follows :


mark parker
Last modified: 20 April 2005