UO Statistics Using R

Course aim

To introduce statistical theory and concepts needed for data analytics, and to become proficient at using the R language for statistical analysis of data.

Course content

An introduction to descriptive statistics; Data Description and graphical representation.

Data Description: Measures of central tendency and variability.

Probability; Sampling distributions.

Confidence Intervals.

Hypothesis Testing.

Correlation and Regression.

Comparing two independent groups.

Comparing more than two independent groups.

Comparing dependent groups.

Multiple comparisons.

Categorical data.

Textbooks

Wilcox, R. 2017, Understanding and Applying Basic Statistical Methods using R, John Wiley & Sons, Hoboken, New Jersey

Prerequisites

Corequisite(s)

Nil

Teaching Method

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Continuous assessment, Project

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
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* Equivalent Full Time Study Load. Please note all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation