Description

Includes: • Qualitative techniques for data collection and investigation; • Primary and secondary data sources; • The concept of variation; • Quantitative and exploratory data techniques; • Presenting data; • Descriptive and Inferential Statistics; • Data types in quantitative analysis; • Developing hypotheses; • Sampling; • Errors in data collection and sampling; • Assessing risk; • Quantifying and incorporating variation in decision making; • Confidence intervals; • Hypothesis testing; • Presentation of findings; • Correlation and regression.


Newcastle

Semester 1, 2017


2 pages

1,613 words

$29.00

15

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Campus

Newcastle, Newcastle City

Member since

July 2015