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# 2.9 Making an Inference AS 91264

### Approximate Lesson Sequence for AS 2.9 Inference

1. Overview & making Box plots, cleaning data, basic descriprion of box plots - skew, groups...
2. Discussing Sample statistics
3. Discussing Sample distribution and features
4. Practice discussing distributions
5. Sampling methods: simple random, systematic, stratified, cluster, census, sampling error
6. Sample variability (n=11 vs 31), The effect of changing sample size on sampling error
7. Writing a Introduction and Research Question
8. Computer practice - input data, write an introduction, make boxplot, discuss sample
9. More practice of introduction & boxplot discussion
10. Finding an Informal confidence intervals
11. Comparing two populations (interpreting an informal confidence interval)
12. Computer practice of making informal confidence interval
13. Applying the PPDAC cycle - Writing a report
14. Practice assessment
15. Practice assessment
16. Feedback
17. Assessment context research
18. Assessment

### For Teachers

AS 2.9 Inference AS91264 (4 credit internally assessed)

* Be familiar with the Achievement Standard AS2.9 Inference #91264 (link to NZQA)

* Check the latest information on the NZQA clarifications page as things change all the time, and the exemplars in NZQA may be out of date (as they are in this standard)

* Look over the NZQA Exemplars on AS 2.9 Inference AS2.9 A & AS2.9 B (note these exemplars do not reflect the latest (as of Feb 2013) clarification information

* Material available on the mathstatsfacilitators website AS2.9 Inference page

* AS 2.9 Inference page at CENSUS at schools site

* Any further ideas / suggestions / resources/ comments / erors. Please email maxr@nayland.school.nz

* AS 2.9 section on Nayland Website updated: June 2014