Questions to Answer
Q1.) Does your graph look somewhat linear? Perfectly linear?
Q2.) Is it positive or negative? What does that tell you?
Q3.) Can you say if this % error value is “small” or “large”? So can you say if there evidence of discrepancy or no? Do you see the problem with this basic approach?
Q4.) Does the theoretical value fall inside or outside this interval? What can you then say about how our experiment compares vs. theory? Explain.
1.Compare your answer from Advanced Error Analysis to your answer from Basic Error Analysis. Which considers more information to make its determination? What is that information? Which should you trust more? Discuss.
2.Restate the coefficient of determination: R2 = _________ and in your own words explain what this value tells you:
3.Sometimes, we wish to use this linear fit toolkit even though the function being modeled is not linear. Read the section “What if the data is not linear?” in the “Error
Analysis” intro materials, and then fill in the following chart.
Properties of y2 vs. x2:
|If equation is:||In linear form already?||Plot as y2||Plot as x2||Slope
|Y-intercept will be:|
|y = x/5 – 1|
|y = q2 + (ax)3|
|cos(y)= a· sin(x)|
|ln(y)=a·sin(x) + q|
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