1. 2 nd – order polynomial

2. 3 rd – order polynomial

3. 4 th – order polynomial

4. Notes from grading your “background” sections: Mention Fig. 1 in text, then below show figure with caption Same for equations except no caption Fairly well, very, greatly, quite (be quantitative if you want to discuss such things) Limit metadiscourse Avoid: References right in the text “This lab required us to have knowledge of several statistical topics including noise, histograms, …” “In this class…” Why it can be useful to measure nothing… Quantization error… Lab  experiment Disjointed, try to tell a cohesive story Starting with an outline may have helped many of you, e.g.: Nothing = 0 V standard. Repeated measurements of standard reveal accuracy, precision, quantization Accuracy, precision, quantization all made visible by a histogram Histogram especially useful for assessing whether data is normally distributed Histograms show reduction of quantization error and precision by averaging Resolution, Q, is not a noise source See sample background section on spideroak

5. ai0 DMM Comparing accuracy, precision, resolution of two voltage-measurement channels on the myDAQ L11_Ex2.viL11_Ex1.vi range: ±200 mV range: ±2 V