Statistics Papers at Tauranga (2024)
Statistics is the science of collecting and interpreting data subject to uncertainty. We live in a world where variability is everywhere. To make informed decisions we must understand the nature of variability, and make use of meaningful information. Without data we have to resort to hunches or guesses, neither of which can be relied on. Statistics tells us how to deal with variability, and how to collect and use data so that we can make good decisions.
Statistics is available as a minor.
To complete a minor in Statistics, students must complete 60 points of DATAX coded papers, including at least 30 points above 100 level.
Note: There will be no new enrolments in the Statistics major and subject which has now changed name to Data Analytics. Students enrolled in 2018 or previously in the Statistics major, or previously in the Statistics subject for the PGCert(Stats), PGDip(Stats), BSc(Hons), MSc, MSc(Res) should consult the Division of Health, Engineering, Computing and Science for programme advice. Please refer to the Data Analytics subject for further information.
Note on Assessment: To be eligible to pass these papers students should normally achieve a minimum grade of D in the internal assessment and the final examination, and an overall grade of C-.
For a full list of offerings in this subject, including those available in Hamilton and online, see the Catalogue of Papers. Not all qualifications and subjects can be taken in full in Tauranga. See what can be studied in Tauranga.
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Code Paper Title Points Occurrence / Location DATAX111 Statistics for Science 15.0 24B (Hamilton), 24B (Tauranga) & 24C (Hamilton Waikato College) An introductory paper in statistics that uses Microsoft Excel. Topics include the collection and presentation of data, basic principles of experimental design, hypothesis testing, regression and the analysis of categorical data.
Code Paper Title Points Occurrence / Location DATAX201 Practical Data Science 15.0 24B (Hamilton), 24B (Online) & 24B (Tauranga) This paper gives students practical experience for the entire data science process. It covers the data collection process, data cleaning and manipulation, and data visualisation and presentation.
2024 Catalogue of Papers information current as of : 29 November 2023 7:52pm