02_Data_Treatment-page3

# 02_Data_Treatment-page3 - result For a single roll each...

This preview shows page 1. Sign up to view the full content.

Identifying sources of error can help you reduce some sources. You can never eliminate all sources of error. The sources will be random in nature. We must rely on statistical treatment of our data to account for these errors. A character associated with an event - its tendency to take place. To see what we’re talking about, let’s use an example - a 10 sided die. If many people each had an identical die, and each gave it a roll, what would be the expected
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: result? For a single roll, each value is equally likely to come up. What if each person had two dice? 1 2 3 4 5 6 7 8 9 frequency 1/10 1 2 3 4 5 6 7 8 9 Average of two dice - one roll We can continue this trend, using more dice and a single roll. 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 Three dice Four dice As the number of dice approaches infinity, the values become continuous. The curve becomes a normal or Gaussian distribution P(x)...
View Full Document

## This note was uploaded on 01/07/2012 for the course CHEM 290 taught by Professor Harvey during the Fall '08 term at SUNY Stony Brook.

Ask a homework question - tutors are online