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MathTrackX: Statistics

Understand fundamental concepts relating to statistical inference and how they can be applied to solve real world problems.

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MathTrackX: Statistics

There is one session available:

5,595 already enrolled!
Starts May 30
Enroll

MathTrackX: Statistics

Understand fundamental concepts relating to statistical inference and how they can be applied to solve real world problems.

MathTrackX: Statistics
4 weeks
3–6 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

5,595 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts May 30
Enroll
MathTrackX: Statistics

About this course

Skip About this course

This course is part six of the MathTrackX XSeries Program which has been designed to provide you with a solid foundation in mathematical fundamentals and how they can be applied in the real world.

This course will build on probability and random variable knowledge gained from previous courses in the MathTrackX XSeries with the study of statistical inference, one of the most important parts of statistics.

Guided by experts from the School of Mathematics and the Maths Learning Centre at the University of Adelaide, this course will cover random sampling, sample means and proportions, confidence intervals for sample means and proportions and one-sample tests of proportions and means.

Join us as we provide opportunities to develop your skills and confidence in applying mathematics to solve real world problems.

At a glance

  • Institution: AdelaideX
  • Subject: Math
  • Level: Introductory
  • Prerequisites:
    None
  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills: Confidence Intervals, Statistics, Probability, Random Variables, Statistical Inference, Basic Math, Simple Random Sample

What you'll learn

Skip What you'll learn

  • The concept of a random sample, sources of bias in samples, and procedures to ensure randomness

  • The concept of the sample proportion as a random variable

  • The approximate normality of the distribution of proportions for large samples

  • The concept of an interval estimates for a parameter associated with a random variable

  • How to define the approximate margin of error for proportions.

About the instructors

This course is part of MathTrackX XSeries Program

Learn more 
Expert instruction
6 high-quality courses
Self-paced
Progress at your own speed
6 months
3 - 6 hours per week

Ways to take this course

Choose your path when you enroll.
Verified Track
Audit Track

Price

$79 USD

Free

Access to course materials

Unlimited

Limited

Expires on Jun 27

World class institutions and universities

edX support

Shareable certificate upon completion

Graded assignments and exams

Read our FAQsin a new tab about frequently asked questions on these tracks.

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