How to Lie with Statistics Podcast #1, Spells, Britton, Ingram, Simmons

Link to podcast:

Group members present: Ashley Spells, Bailey Britton, Timothy Ingram, Reginald Simmons (all of us). 

What we discussed: chapters one and two (questions we had, things we agreed with, were confused about, etc.). 

The form of our discussion: we hosted an open discussion in which any group member could call out or respond to others' reflections. 

Conflicts, disagreements: we had none of those. Any points of confusion within the discussion were dealt with by other group members. We all seemed to agree with each other, for the most part. 

Questions that came up as a result of the discussion: I guess one question that we had was, "if this is the wrong way to do things, then what's the right way?"  

Comments (1)

Mark Miles (Teacher)
Mark Miles

Good first podcast. Why is this a youtube video? Next time, can you upload the file directly into the blog? Also, you said you would discuss chapter 2, but I really only heard Bailey comment on it. I would like to hear more Tim and Bailey.

For next time, please respond to the following questions: <ol> <li>Choose one of the quotations inside the front cover and discuss how it relates to the Introduction.</li> <li>List as many sources of sample bias as you can that are mentioned in Chapter 1 and provide an example of each.</li> <li>Put the second paragraph on Page 18 (“A river cannot….”) into your own words.</li> <li>What is the advantage of a stratified random sample and what difficulties does it pose, according to this chapter?</li> <li>When we see an average reported, what do we need to ask besides which kind of average is being used? Why?</li> <li>Which kind of “average” (statisticians call all three “measures of central tendency”) would give me the best way to compare the performance of two classes of a required math course? Why?</li> </ol> Finally, when discussing chapters 3, 5, or 6, incorporate the following article into your discussion:

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.