Report

INFERENCE What can you find out about a population by looking at a sample? Getting started You need a population to sample There should be a reason to sample The koala learning activity was developed by Anthony Harradine (2008) Are the koalas healthy? Take a sample and make a dotplot What do you notice? What do you notice? What do you notice? The median of the population is likely to be within the range of sample medians. The median weight of the female koalas is likely to be between 4.7kg and 5.4kg. Are the koalas healthy? Making an inference The actual population median is 5.1kg. Usually we only see one sample. We make an inference that the population median is the same as the sample median (even though we know that it is probably not exactly the same). This is called a point estimate. Making an interval estimate At NZC level 7, the idea of the interval is developed further. Taking samples of different sizes and collecting the medians, you can demonstrate that there is less variation in the medians of large samples than the medians of small samples. Collections of medians Dot Plot Measures from Sample size 15 40 50 60 70 80 m edian 90 50 60 70 80 m edian 110 Dot Plot Measures from Sample size 60 40 100 90 Lindsay Smith, University of Auckland Stats Day 2011 100 Dot Plot Medians from 200 samples of size 30 110 40 50 60 70 80 m edian 90 100 110 What else might affect the uncertainty in estimating the population median? The spread of the population Comparing the heights of intermediate school (years 7 and 8) and the heights of junior high school students (years 7 to 10) Lindsay Smith, University of Auckland Stats Day 2011 Sampling variability: effect of spread Dot Plot Intermediate 100 120 140 160 180 200 height 120 140 160 120 140 160 200 180 Box Plot Sample of Middle School 200 120 140 160 180 200 height height Box Plot Sample of Middle School Box Plot Sample of Intermediate 120 120 180 height Box Plot Sample of Intermediate 100 Dot Plot Middle School 140 160 180 height Lindsay Smith, University of Auckland Stats Day 2011 200 140 160 height 180 200 Estimating the spread of the population Best estimate: using the IQR of our sample Using the quartiles of our sample as point estimates for the quartiles of the population Lindsay Smith, University of Auckland Stats Day 2011 Providing an interval estimate (a confidence interval) for the population median There are two factors which affect the uncertainty of estimating the parameter: 1. Sample size 2. Spread of population, estimated with sample IQR How confident do we want to be that our interval estimate contains the true population median? Lindsay Smith, University of Auckland Stats Day 2011 Development of formula for confidence interval population median = sample median ± measure of spread √sample size To ensure we predict the population median time population median = sample median ± 90% of the 1.5 measure of spread √sample size population median = sample median ± 1.5 x IQR √n Lindsay Smith, University of Auckland Stats Day 2011 Justification for the calculation Based on simulations, The interval includes the true population median for 9 out of 10 samples - the population median is probably in the interval somewhere. This leads to being able to make a claim about the populations when they do not overlap. Sampling variation only produces a shift large enough to make a mistaken claim about once in 40 pairs of samples. Lindsay Smith, University of Auckland Stats Day 2011 Comparing two populations Sampling variation is always present and will cause a shift in the medians We are looking for sufficient evidence, a big enough shift in the intervals for the median to be able to make a claim that there is a difference back in the populations Lindsay Smith, University of Auckland Stats Day 2011 “ NCEA level 2 is not an endpoint. It is a platform.”