1 / 10

Stat 321 – Day 2

Stat 321 – Day 2. Numerical Summaries (Ch. 1). Reminders. Reading assignments in syllabus Bring calculator to class Get out, turn on… Lab 1 Include graphs/output Remember labels and legends! Work together!. Questions?. Course Logistics? Blackboard?? Minitab? Ch. 1?.

salome
Télécharger la présentation

Stat 321 – Day 2

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Stat 321 – Day 2 Numerical Summaries (Ch. 1)

  2. Reminders • Reading assignments in syllabus • Bring calculator to class • Get out, turn on… • Lab 1 • Include graphs/output • Remember labels and legends! • Work together!

  3. Questions? • Course Logistics? • Blackboard?? • Minitab? • Ch. 1?

  4. Last Time – Quantitative Data • Graphical summaries • Histograms, stem-and-leaf plots, dotplots • Describe shape, center, spread, unusual observations (extreme, unique numerical values) • Typical value… how closely do the values cluster around this typical value… • Numerical summaries

  5. Numerical Summaries • Center • Mean = Sxi/n • Median = middle value or average middle pair

  6. Demo 1: Rower weights • Def: A measure is resistant if its value is not strongly affected by the presence of outliers in the data set. • Mean? • Median? • The University of North Carolina took a survey of the students who had graduated as geology majors. In 1998, the average annual salary of geology majors who graduated from UNC was more than $500,000. • The next year it was less than $100,000.

  7. Example 1: Cancer Pamphlets • Calculate the mean? • Calculate the median? • Since the median readability= median reading level, does this imply that the pamphlets are well matched to the patients’ reading levels?

  8. * Boxplots • Can hide some details • Best used to compare datasets Fourth spread fu + 1.5 fs

  9. For Thursday • Finish reading Ch. 1 • Begin HW 1 (to be posted online) • Continue working on Lab 1 • Blackboard survey?

More Related