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# AS 1.10 Multivariate Data Home AS91035

##### Summary: AS91035 Multivariate Data 4 Credit Internal Assessment

Plan & conduct surveys & experiments

Determine variables, clean data, display data (box & whisker graphs), compare data sets with measures of centre & spread & proportion, report findings.

Justify variables used, manage variation, justify findings.

• Plan and conduct surveys and experiments using the statistical enquiry cycle:
• determining appropriate variables
• cleaning data
• using multiple displays, and re-categorising data to find patterns, variations, in multivariate data sets
• comparing sample distributions visually, using measures of centre, spread, and proportion
• presenting a report of findings.
• Plan and conduct investigations using the statistical enquiry cycle:
• justifying the variables used
• identifying and communicating features in context (differences within and between distributions), using multiple displays
• making informal inferences about populations from sample data
• justifying findings, using displays and measures.

# Achieve

Pose a research question with assistance
Explain a plan on how to collect relevant statistics
Draw relevant graph(s)
Describe features of graphs relating to the research question

# Merit

Pose a research question with or without assistance
Explain a plan on how to collect relevant statistics
Draw relevant graph(s)
Describe features of graphs with justification to make a comparison
Calculate statistics
Describe features of the population based on evidence

# Excellence

Pose a research question without assistance
Explain a plan on how to collect relevant statistics
Draw relevant graphs (At least 2)
Calculate statistics
Make at least 3 comparative statements with supporting evidence
Describe features of the population based on evidence
Consider further areas to investigate or a new research question

NZQA Clarifications

Word doc 07/03 Gamma 'Aiming for excellence' Homework Book (David Barton), Gamma Text Book (David Barton)2004 edition and 2010 edition, Gamma Fundamentals 2010, Web link Power Point

Exploring Data Website