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An introduction to the presentation, analysis and interpretation of quantitative data. Topics include the construction of charts and summary statistics, probability, sampling, hypothesis testing, regression, time series analysis and quality management.
Note(s): Access to a Windows PC and Excel is required.
|2017||Semester one full semester||Internal||Auckland Campus|
|2017||Semester Two full semester||Internal||Manawatu Campus|
|2017||Semester Two full semester||Distance|
|2017||Summer School||Internal||Auckland Campus|
|2018||Semester one full semester||Internal||Auckland Campus|
|2018||Semester Two full semester||Internal||Manawatu Campus|
|2018||Semester Two full semester||Distance|
|2018||Summer School||Internal||Auckland Campus|
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