Exploring Building Height Measurements and Statistical Concepts
Dive into the world of student measurements of building heights, exploring concepts such as mean, standard deviation, outliers, and identifying bad data. Understand the significance of errors in measurements and how they can impact data analysis, with insights on the distribution of measurements within standard deviations.
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Presentation Transcript
Discussing the student measurements of building height. Letting them originate concepts for: Multiple measures Mean Standard Deviation Outliers / identifying bad data
A poll with 3% error When errors are random, 2/3 of measurements are within one std. dev. And 95% are within two standard deviations
For true aficionados, the error (Standard deviation) in a random sample is close to the square root of the number you sample 100 10 gives 10% error 1000 30 or so gives 3% error
If you take 100 measurements, how many will be 2 standard deviations high, purely by chance? When errors are random, 2/3 of measurements are within one std. dev. And 95% are within two standard deviations We have >100 in our class, so
