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Achievement Standard 91264 – 4 credits, internal.

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Presentation on theme: "Achievement Standard 91264 – 4 credits, internal."— Presentation transcript:

1 Achievement Standard 91264 – 4 credits, internal

2 Sir Richie McCaw?  Read read read…

3 Sir Richie McCaw?  What was the survey question in each article?  How well do the views expressed reflect the views of all NZers?  Why/why not?

4 Sir Richie McCaw?  How could we gather views of all NZers?  Census? – pros/cons?  …  We take a sample

5 Homework…  Me as a mathematician…

6 Sampling methods  How could I select a group of you from a class list in order to check completion of homework?  Discuss different ways that 5 students could be selected

7 Sampling methods Notes… Basic outline of each method they discussed

8 Simple random sampling Take a SRS of size 5 to select students to check their homework.

9 Systematic sampling Take a systematic sample of size 5 to select students to check their homework.

10 Why take a sample? Purpose of sampling? Reasons for sampling? Features of a good sample?

11 Why take a sample?  The purpose of taking a sample is  To make an estimate of what is going on back in the population  Reasons for sampling include  Time and cost considerations  Lack of access to the entire population  Nature of the data collection or test (eg blood test, breaking strain of fishing lines…)

12 Why take a sample?  Features of a good sample  Representative of the population  Sample size is sufficiently large – a small sample is more likely to be unusual and less likely to be representative  NOTE: there is no statistical requirement that a sample be a proportion of the population – a well designed sampling process is more likely to produce a representative sample than a large sample poorly selected  Randomly chosen – each member of the population has the same chance of being included in the sample


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