Statistical Inference

STAT51700

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

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.

Other Requirements:

Minimal usage of a calculator.

ProEd Minimum Requirements:

view

Tuition & Fees:

view