Q4 Math Bm (Podcast #1) Ilker, Jamie and Brian

In Jamie, Brian and my first Podcast we introduced the book.  This first podcast proved to be very difficult because it caused a lot thinking.  Our first podcast is longer than the rest will be and this is because we were introducing the book.  This podcast hits on all points in the first three chapters.  The first three chapters are the base of the book and so we gave more detailed information in this podcast.  We all talked a lot and kept the conversation going.  We created good questions to keep the conversation going till the end.  

Comments (1)

Mark Miles (Teacher)
Mark Miles

Good first podcast, but I would like to heaar Brian more.

For next time, make sure you respond to the following prompts:

  1. Choose one of the quotations inside the front cover and discuss how it relates to the Introduction.
  2. List as many sources of sample bias as you can that are mentioned in Chapter 1 and provide an example of each.
  3. Put the second paragraph on Page 18 (“A river cannot….”) into your own words.
  4. What is the advantage of a stratified random sample and what difficulties does it pose, according to this chapter?
  5. When we see an average reported, what do we need to ask besides which kind of average is being used? Why?
  6. Explain why advertisers often rely on a very small sample to substantiate their claims.
  7. What does the author mean on Page 45 when he says, “Hardly anybody is exactly normal in any way…?”

Finally, when discussing chapters 3, 5, or 6, incorporate the following article into your discussion:

http://gizmodo.com/how-to-lie-with-data-visualization-1563576606

Also, each member of your group should find an article online containing a misleading graph and discuss it during the podcast (be sure to talk about why it’s misleading!). Be sure to include a link to all articles in the text of your post of the podcast that corresponds to chapters 3, 5, or 6.