Statistics - standard deviations, etc

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SUMMARY

This discussion focuses on the application of statistics, specifically standard deviations and measurement uncertainties, in a quantum physics context. The primary homework problem involves measuring student heights with a ruler that has a precision of ±0.5 cm, leading to questions about expected value ranges, distribution sketches, and the impact of measurement error on standard deviation. Key equations include σ² = ⟨x²⟩ - ⟨x⟩², which is essential for calculating variance and understanding the distribution of repeated measurements.

PREREQUISITES
  • Understanding of standard deviation and variance in statistics
  • Familiarity with measurement uncertainty and error propagation
  • Basic knowledge of statistical distributions
  • Ability to perform calculations involving averages and sample sizes
NEXT STEPS
  • Study the concept of measurement uncertainty and its impact on statistical analysis
  • Learn how to calculate standard deviation using sample data
  • Explore the normal distribution and its properties in relation to height measurements
  • Investigate error propagation techniques in experimental physics
USEFUL FOR

Students in physics or engineering courses, statisticians, and anyone involved in data analysis or experimental design who needs to understand the implications of measurement errors and statistical distributions.

joriarty
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Statistics. The bane of my existence... and then a bit of statistics "revision" rears its (in my opinion) ugly head in my quantum physics course and I have absolutely no idea what to do.

Homework Statement



1. Suppose you measure the height of all students at the University. You use a ruler which is only accurate to ±0.5 cm (perhaps varies with temperature, stretches, numbers hard to read – whatever).

(a) On a given measurement you record 172.0cm. What range of values would you expect to get if you repeated this measurement several times?

(b) Make a sketch of the distribution of a sample of about 20 measurements of this particular student.

(c) Suppose your result after measuring all students is (height)=162.7±15.3cm. How much of the
15.3 cm uncertainty is due to your ruler?

(d) What fraction of students are taller than 162.7cm?

(e) What fraction of students are taller than 178.0cm?

Homework Equations



σ2 = ⟨x2⟩ - ⟨x⟩2

The Attempt at a Solution



I don't really know where to start. It's over 3 years since I did any stats at school. All I can understand is that standard deviation (σ) is some measure of average error over a range of samples. I haven't been given a range of samples, all I know is the uncertainty of ± 0.5 cm. For the first question, the student might be 171.5 cm tall, and the 172 cm measured is at the far end of this uncertainty. How can I come up with an expected range of values if this measurement was repeated?
 
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you could write each measurement (Mi) as the sum of 2 random variables are error (Ei), and the heights (Xi) you :

M_i = X_i + Ei
then calculate the average & variance of N measurements assuming everything is independent
 

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