Engineering Professional Education

# Statistical Inference

## STAT51700

Spring 2018

Days/Time: MWF / 8:30-9:20 am
Credit Hours: 3

Learning Objective:
Understanding the basic statistical inference methods.

Description:
A basic estimation including unbiased, maximum likelihood and moment estimation; testing hypotheses for standard distributions and contingency tables; confidence intervals and regions; introduction to nonparametric tests and linear regression.

Topics Covered:
1. Sampling distributions; 2. Point Estimation; 3. Confidence interval; 4. Hypothesis Testing; 5. Linear Regression

Prerequisites:
This course emphasizes the statistical theory. The students need to have the background on calculus and probability. The prerequisite for this course is STAT 516.

Applied/Theory: 35/65

www.stat.purdue.edu/~wangxiao/Stat517/stat517.html

Homework:
10 homeworks. Will be accepted via email at wangxiao@purdue.edu.

Projects:
None.

Exams:
1 midterm exam and 1 final exam.

Textbooks:
Official textbook information is now listed in the Schedule of Classes. NOTE: Textbook information is subject to be changed at any time at the discretion of the faculty member. If you have questions or concerns please contact the academic department.
REQUIRED - Introduction to Mathematical Statistics (7th Edition) by Robert V. Hogg (Author), Joeseph McKean (Author), Allen T Craig (Author) - ISBN: 0321795431.

Computer Requirements:
ProEd minimum computer requirements. A calculator is needed for this course. There is no programming work for this course.

ProEd Minimum Requirements: view

Tuition & Fees: view

Other Requirements:
Minimal usage of a calculator.

Spring 2018
Spring 2020

## CURRENT INSTRUCTOR(S)

Xiao Wang

Phone
765-496-7574

Email
wangxiao@purdue.edu

Office
Purdue University
Department of Statistics
536 Mathematical Science Bldg
West Lafayette, IN 47906

Fax
765-494-0558

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