161.111 Applied Statistics (15 credits)

Statistical literacy, the ability to understand and reason with statistics and data, is becoming increasingly important as our world becomes more and more data-rich. This course focuses on developing statistical literacy in real-world contexts. We teach students to use software (Excel and RStudio) to summarise, display and analyse data. We explore data collection techniques including sampling methods and experimental design. We introduce statistical inference methods (confidence intervals, hypothesis testing and regression) with an emphasis on communicating results in context.

Requirements

• Restriction(s): 115.101, 161.101, 161.120, 161.122, 161.130, 161.140

Expected prior learning

• • At least 16 credits in NCEA Level 2 Mathematics from these standards: 91256, 91257, 91258, 91259, 91260, 91261, 91262, 91269; or passed any of these Massey University courses or equivalent: 124103 or any 100-level mathematics course (prefix 160).
    
    If you do not have this prior learning or equivalent you should enrol in one of these Massey University courses instead: • 160104 Introductory Mathematics for Science or • 124103 Biophysical Principles
    
    If it’s some time since you studied Mathematics at school, you can find out if you have the expected background by taking this maths quiz.

Offerings

* Due to recent changes you should carefully check this offering to confirm details before you enrol.

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