Question 1

What is NCEA AS 91266 about?

Accepted Answer

You need to look at a report based on survey data and explain what's good or bad about it. This means identifying problems like dodgy sampling methods, errors in how the data was collected, and whether the findings actually answer the question the survey was trying to solve.

Question 2

What do students need to do for AS 91266?

Accepted Answer

1. Identify features of the survey such as who was surveyed (the population), what was measured, and how the sample was chosen 2. Spot sampling errors (like a non-representative sample) and non-sampling errors (like biased questions or poor data collection methods) 3. Comment on whether the sample size is appropriate for the claims being made 4. Explain what the report found and whether those findings actually address the report's stated purpose 5. Back up your criticisms with specific references to statistical evidence and how the survey was actually conducted

Question 3

What's the difference between Achieved, Merit, and Excellence for AS 91266?

Accepted Answer

Achieved: You identify several features of the survey (like sampling method, sample size, or errors) and comment on them in relation to what the report is trying to do. Merit: You identify and comment on the key features and findings, and you support each comment with specific statistical evidence or details about how the survey was run. Excellence: You bring together the statistical details and the real-world context to make a overall judgment about whether the report actually does a good job of answering its research question, noting both strengths and weaknesses in the methodology.

Question 4

What mistakes do students typically make in AS 91266?

Accepted Answer

1. Only describing what the survey found without actually evaluating whether it was a good or reliable survey 2. Identifying problems with the survey but not explaining *why* those problems matter or what effect they have on the results 3. Forgetting to consider non-sampling errors (like unclear questions or the way data was collected) and focusing only on sampling issues

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