STATISTICAL EXPERIMENTAL DESIGN

Name: STATISTICAL EXPERIMENTAL DESIGN
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Rating: 4.2 (1801 reviews)

ME/STAT 424

과목 설명

Introduction to statistical design and analysis of experiments. Topics include: principles of randomization, blocking and replication, randomized blocking designs, Latin square designs, full factorial and fractional factorial designs and response surface methodology. Substantial focus will be devoted to engineering applications.

선수과목

STAT 240 , STAT 301 , 302, STAT 312 , STAT 324 , STAT 371 , or MATH/STAT 310

충족 요건

COMPSCI/ECE 561

학점

미보고

개설 시기

미보고

평점

3.55

4.8% 과거 데이터 대비

수료율

100%

2.68% 과거 데이터 대비

A 비율

43.14%

9.12% 과거 데이터 대비

학급 규모

1.94% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

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유사 과목

INTRODUCTION TO STATISTICS FOR SCIENCE AND ENGINEERING

STAT 324

Descriptive statistics, probability concepts and distributions, random variables. Hypothesis tests and confidence intervals for one- and two-sample problems. Linear regression, model checking, and inference. Analysis of variance and basic ideas in experimental design. Utilizes the R programming language.

INTRODUCTION TO INDUSTRIAL STATISTICS

ISYE 210

Introduction to basic probability and statistical tools and methods from an industrial application perspective. Random variables and probability distributions; descriptive statistics; point estimates. Perform hypothesis testing, construct confidence intervals, and understand design of experiments in the context of motivating case studies. Regression and correlation analysis. Focus on applying statistical methods and tools to solve engineering problems. Use of Microsoft Excel to interpret and analyze data.

EXPERIMENTAL DESIGN I

MATH/STAT 803

Summary of matrix algebra required, theory of estimable functions, incomplete blocks, balanced incomplete block designs, partially balanced incomplete block designs.

ENGINEERING APPLICATIONS OF STATISTICS

EPD 416

Provides knowledge and skills to apply statistics to many types of engineering problems. Focuses on developing statistically-based experimental techniques and tests for measures of validity, application of computer-based statistical tools, and approaches to distillation of data.

DESIGN AND ANALYSIS OF BIOLOGICAL STUDIES

ANSCI 865

Experimental design and proper data analysis are critical processes for scientific research. Planning and performing research studies have statistical implications that influence how results are interpreted. Learn the fundamentals of generalized linear models, experimental design, and data analysis using common examples from biological studies.