Sampling Errors
Slides in this set (2)
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- Although imperfect, each sample should give a reasonable picture of the population as a whole.
- In the real world, we usually only have one sample. We want to use this sample to estimate the population parameter. (make an inference)
- e.g. estimate the percentage of students at Kare Kare College
- who travel to school by car.
- Since the sample is representative of the population, we will re-sample from the sample (with replacement) to estimate the sample-to-sample variability ie sampling error or margin of error.
- Re-sampling from the sample is called Bootstrapping
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“Opinion Divided on NZ-US exercises”
- Margin of error
- % who support resumption
- 95% CI:
- Meaning:
- Judgement:
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- NCEA Level 3 Statistics (Statistical Report) Slide Set on Sampling Errors, created by lauren calvert on 24/08/2017.
- Created by
- lauren calvert
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