About this courseSkip 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.
What you'll learnSkip 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.
Meet your instructors
Pursue a Verified Certificate to highlight the knowledge and skills you gain$79 USD
Official and Verified
Receive an instructor-signed certificate with the institution's logo to verify your achievement and increase your job prospects
Add the certificate to your CV or resume, or post it directly on LinkedIn
Give yourself an additional incentive to complete the course
Support our Mission
edX, a non-profit, relies on verified certificates to help fund free education for everyone globally