Online Statistics

STP 226 - Elements of Statistics

Overview

Statistics are all around us, from weather forecasts, opinion polls, and school ratings to insurance pricing and the stock market. This course is designed to provide learners with a solid foundation in statistical concepts and techniques with a particular emphasis on their real-world applications. The course will cover the basics of descriptive and inferential statistics to prepare learners to use statistics in various fields, including business, science, and social sciences. Throughout the course, learners will have the opportunity to apply their newfound knowledge to a variety of real-world problems. By the end of the course, learners will be equipped to use statistics to make informed decisions, test hypotheses, and draw meaningful conclusions from data. The course is designed for students with little or no prior experience in statistics. It is suitable for students from a wide range of disciplines interested in learning how to apply statistical concepts and techniques in real-world settings.

Course prerequisites and requirements

To be successful in this course, we recommend English language fluency and computer literacy. We also encourage you to make sure your laptop or desktop computer meets the technical requirements.

Either MAT 117 College Algebra or MAT 142 College Mathematics are strongly suggested as a prerequisite for success in this course.

Quick facts

Next start date:

Jan. 09, 2024 (16 weeks)

  • Credits: 3
  • Length: 8 or 16 weeks
  • Cost: $25 + $400

What you’ll learn

  • Analyze problems with descriptive and inferential statistics
  • Perform statistical analyses with the appropriate software
  • Evaluate scientific claims based on available data

What to expect in class

Tutor Bot, Inscribe Discussion Community, practice quizzes with opportunities to collaborate, lecture videos with self-check questions, tutorial videos, and module exams

Exams and grading

20%

Practice quizzes

80%

Module exams

Transcript

This course appears on your transcript identically to how it appears on the transcript of an enrolled ASU student who has taken the course on one of ASU’s campuses.

This course satisfies 3 credit hours toward the Computer/Statistics/Quantitative Applications (CS) General Studies requirement at Arizona State University. It is strongly encouraged that you consult with your institution of choice to determine how these credits will be applied to their degree requirements prior to transferring your credit.

Faculty and course staff

S.R.

S.R.

Aurora

Assistant Professor,

College of Integrative Sciences and Arts - School of Applied Professional Studies

Arizona State University

Read bio
Rachel

Rachel

Reed

Learner Success Designer,

Universal Learner Courses, Learning Enterprise

Arizona State University

Read bio

Why take ASU Universal Learner Courses

  1. Credit you receive is from a regionally accredited university
  2. Your credit is highly transferable
  3. You only pay the $400 course cost if you pass

Related programs

Online BS in Integrative Health

Online BS in Sociology

Online BS in Technological Leadership