Streveler_Oct20_9a_v4_LI

Streveler_Oct20_9a_v4_LI - ENGR 195 Transforming Ideas to...

Info iconThis preview shows pages 1–12. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: ENGR 195 Transforming Ideas to Innovation I Prof. Ruth Streveler Tuesday, October 20, 2009 Overview l Announcements l Histograms l Normal Distributions l Six Sigma Announcements l Today Class 9a get peer feedback on Task 2 from class 8b l Class 9b FY advisors to help you with Spring registration l BRING PRINTOUT OF YOUR PURDUE TRANSCRIPT from MyPurdue with you l Class 10a Stats homework due (posted today) l Class 10b Project 2, Milestone 1 due l Class 11b CCCD paper due Task 2 l Be sure your name is on your paper l Give your paper to the person to your right. l Check for: Title present and complete (& descriptive) Units present Sig figs appropriate Sample size given (n=___) # columns < # rows l Return to the person who completed the homework l Future tables will be graded using these criteria Learning Objectives At the end of this class period, you will begin to be able to: l Create histograms in Excel l Discuss how to manage outliers l Interpret the shape of a distribution l Describe a normal (bell-shaped) distribution l Apply the concept of Six Sigma to a simple example Probability Distributions Plot of probability of occurrence vs. value The bell curve is a normal distribution describes the behavior of many, but NOT ALL datasets Variability is a clue to the underlying phenomena not necessarily an indication of error. There is an equation for the curve, but we usually look up the values in practice. Histograms l Normal curve and earlier plot are examples l Show how data are distributed over the range l Divide the data into bins and plot the number of occurrences (frequency) in each interval l What does the area of a histogram represent? l How many bins is the right number? l A good rule of thumb is (# of datapoints) l Use round numbers l Consider the data you dont want to distort it n = 65 (male) Mean: 98.1 Standard Deviation: 0.6988 Histogram of Male Body Temp 2 4 6 8 10 12 Body Temperature of Male Adults Temperature (deg F) Frequency Classification Intervals = Bins l bins store information on frequency of occurrence l Excel l The numeric bin values represent the right- hand-sides of the bins l Bins are non-inclusive on left boundary (Left-bin boundary < x <= Right-bin boundary) l Manual setting of the bin boundaries is always required 2 4 6 8 10 12 Body Temperature of Male Adults Temperature (deg F) Frequency Reading Histograms in Excel 97 is the label for the BIN UPPER EDGE 2 4 6 8 10 12 Body Temperature of Male Adults...
View Full Document

Page1 / 32

Streveler_Oct20_9a_v4_LI - ENGR 195 Transforming Ideas to...

This preview shows document pages 1 - 12. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online