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AN INTRODUCTION TO SAMPLE SURVEY THEORY AND METHODS

STAT 411
과목 설명

An introduction to the methods used to design sample surveys and analyze the results. Topics covered include: basic tools, simple random sampling, ratio and regression estimation, stratification, systematic sampling, cluster (area) sampling, two-stage sampling, unequal probability sampling, non-sampling errors, and missing data. For illustration and clarification, examples are drawn from diverse areas of application.

선수과목

STAT 333 , STAT 340 , graduate/professional standing, or declared in Statistics VISP

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점
3.69

15.21% 과거 데이터 대비

수료율
95.83%

0.31% 과거 데이터 대비

A 비율
79.17%

119.99% 과거 데이터 대비

학급 규모
24

-23.57% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

STATISTICAL METHODS II

STAT 602

Provides a thorough grounding in modern statistical methods. The specific learning outcomes for the course are to understand data collection in context (how/why data were collected, key questions under study); explore data by effective graphical and numerical summaries; understand probability concepts and models as tools for studying random phenomena and for statistical inference; analyze data using appropriate, modern statistical models, methods, and software; understand the statistical concepts underlying methods; develop the ability to interpret results and critically evaluate the methods used; communicate data analysis and key findings in context.

INTRODUCTION TO SURVEY METHODS FOR SOCIAL RESEARCH

SOC 351

Introduction to principles and basic techniques in surveys for social research. Specific topics include the basic concepts of sampling and survey measurement. Learn how survey researchers apply the methods presented and practice applying the concepts and methods learned. The techniques used in this class are relevant for many kinds of data collection and standardized measurement. Provides a substantial experience with practical research skills that are relevant in many academic and private sector contexts.

INTRODUCTION TO THEORY AND METHODS OF MATHEMATICAL STATISTICS I

STAT 311

Elements of probability, important discrete distributions, acceptance sampling by attributes, sample characteristics, probability distributions and population characteristics, the normal distribution, acceptance sampling plans based on sample means and variances, sampling from the normal, the central limit theorem, point and interval estimation.

INTRODUCTION TO SURVEY RESEARCH

JOURN/POLISCI/URBRPL 373

Theory and practice of survey research; questionnaire design, sampling, data visualization, statistical analysis.

STATISTICAL METHODS I

STAT 601

Provides a thorough grounding in modern statistical methods. The specific learning outcomes for the course are to understand data collection in context (how/why data were collected, key questions under study); explore data by effective graphical and numerical summaries; understand probability concepts and models as tools for studying random phenomena and for statistical inference; analyze data using appropriate, modern statistical models, methods, and software; understand the statistical concepts underlying methods; develop the ability to interpret results and critically evaluate the methods used; communicate data analysis and key findings in context.