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MATH 3316: Statistical Inference
Fall 2018

Table of Contents

Announcement

You can review the final exam 2:00pm - 5:00pm on Dec 14th. Please come to SEIR 218.

The instructor moved his office to SEIR 218.

Contact information for a specialized tutor can be found on the Blackboard.

About

Statistical inference is the process of generating conclusions about populations or scientific truths from noisy data. Without statistical inference we simply live within our data. With statistical inference, we try to translate data into new knowledge.

This course presents the fundamentals of inference in a practical approach for getting things done. Upon successful completion of this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.

After this course, students shall have skills to

  • Have a conceptual understanding of the unified nature of statistical inference.
  • Interpret results correctly, effectively, and in context without relying on statistical jargon.
  • Critique data-based claims and evaluate data-based decisions.
  • Use statistical software (R) to summarize data numerically and visually, and to perform data analysis.

Course Syllabus

Course Materials

Course related materials (Powerpoint slides, R code, homework, etc.) can be found here.

Course Schedule

The instructor reserves the right to adjust this schedule in any way that serves the educational needs of the students enrolled in this course.

Week Date Topics Reading Notes
Week1 08/23 Introductions, Displaying Distributions with Graphs IPS 1.1-2  
Week2 08/28 Displaying Distributions with Numbers, Density Curves and Normal Distributions IPS 1.3-4  
Week2 08/30 Relationships, Scatterplots, Correlation IPS 2.1-3 HW1 - Due 09/06 in class
Week3 09/04 Design of Experiments, Sampling Design IPS 3.1-3  
Week3 09/06 Randomness, Probability Models IPS 4.1-2 HW2 - Due 09/13 in class
Week4 09/11 Quiz I, Random Variables IPS 4-3  
Week4 09/13 Means and Variances of Random Variable, General Probability Rules IPS 4.4-5 HW3 - Due 09/20 5:30pm
Week5 09/18 Statistical Inference IPS 5.1-2  
Week5 09/20 Binomial distribution IPS 5.3  
Week6 09/25 Exam I    
Week6 09/27 Poisson distribution, Confidence interval for a population mean IPS 6.1 HW4 - Due 10/04 5:30pm
Week7 10/02 Confidence interval for a population mean, Hypothesis Testing IPS 6.2  
Week7 10/04 Test statistics, P-values IPS 6.2 HW5 - Due 10/11 5:30pm
Week8 10/09 Quiz II, Power and Inference as a Decision IPS 6.3-4  
Week8 10/11 Inference on Means   HW6 - Due 10/25 5:30pm
Week9 10/16 Inference on Means IPS 7-1 Ch07 supplements
Week9 10/18 Comparing Two Means, Review for Exam II IPS 7-2  
Week10 10/23 Exam II    
Week10 10/25 Inference on a Single Proportion IPS 8.1 HW7 - Due 11/01 5:30pm
Week11 10/30 Comparing Two Proportions IPS 8.2  
Week11 11/01 Comparing Two Proportions / Two-Way Tables IPS 2.6 HW8 - Due 11/08 5:30pm
Week12 11/06 Inference for Two-Way Tables IPS 9.1  
Week12 11/08 Simple Linear Regression IPS 2.4-5 HW9 - Due 11/18 11:59pm
Week13 11/13 Quiz III, Inference for Simple Linear Regression IPS 10.1  
Week13 11/15 Inference for Simple Linear Regression IPS 10.2 Final HW - Due 12/06 11:59pm
Week14 11/20 Multiple Linear Regression IPS 11  
Week14 11/22 No class   Thanksgiving holidays
Week15 11/27 Inference for One-Way Analysis of Variances IPS 12.1  
Week15 11/29 Comparing Means IPS 12.2  
Week16 12/04 Review    
Week16 12/06 Final exam   PKH 103, 5:30 – 8:00 PM

Resources

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