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Fall 2024
Jul 13, 2024
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Information Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. The Schedule Type links will be available only when the schedule of classes is available for the selected term.

STAT 30100 - Elementary Statistical Methods
Credit Hours: 3.00. Introduction to statistical methods with applications to diverse fields. Emphasis on understanding and interpreting standard techniques. Data analysis for one and several variables, design of samples and experiments, basic probability, sampling distributions, confidence intervals and significance tests for means and proportions, correlation and regression. Software is used throughout. For statistics majors and minors, credit should be allowed in no more than one of STAT 30100, 30301, 35000, 35500, 50100, and in no more than one of STAT 50300 and STAT 51100. Prerequisite: college algebra.
0.000 OR 3.000 Credit hours

Syllabus Available
Levels: Indiana College Network, Undergraduate, Graduate, Professional
Schedule Types: Distance Learning, Individual Study, Laboratory, Lecture, Practice Study Observation, Recitation
All Sections for this Course

Offered By: College of Science
Department: Statistics

Course Attributes:
Credit By Exam, GTC-Information Literacy, UC-Information Literacy, Upper Division

May be offered at any of the following campuses:     
      PU Fort Wayne
      Indianapolis and W Lafayette
      Northwest- Westville
      Northwest- Hammond
      West Lafayette
      Anderson
      Columbus
      Indianapolis
      Kokomo
      Lafayette
      New Albany
      Richmond
      South Bend
      Vincennes

Learning Outcomes: 1. Students will be introduced to statistical methods and be able to apply them to multiple fields of study. 2. Students will be able to understand, interpret standard statistical techniques, analyze data for one variable and for several variables, calculate and use confidence intervals and significance test for means and proportions, understand the design of samples and experiments, perform and understand basic probability calculations, perform simple and multiple regression procedures, and understand correlation.



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