Slides for Day 13 in EWRT 2, Spr 18

1. CREM EWRT 2
Day 13
A BUNCH OF STUFF.

2. NYT Evening Briefing Quiz
Well, well, well… time for Kahoot!
Get into TEAMS OF FOUR.
Each team needs a working device (laptop or smartphone).
https://play.kahoot.it/#/k/3b73988b-6b80-4603-b37a-418e4b3cf2b6

3. Business / Participation
Let’s talk FIELD TRIP: how many can attend?
◦ Wednesday, June 13, 10AM-12PM at Tech Museum in downtown SJ.
◦ Have to arrange your own transportation to and from.
◦ No Math or EWRT that day.
How is data collection going?
◦ Part of the Integrated Project is due to Amanda on Friday.
How did the library work go in Journal 4?
Who wants to do the Unnatural Disasters extra credit event?
Remember my new office hours:
MTuTh 1:30-2:30, Wed 8:30-9:30 AM.
Unusual office hours next week (because I am subbing for a
colleague on TuTh afternoons):
◦ Tues, Weds, Thur: 8:30-9:30 AM
◦ Wed: 1:30-2:30 PM
◦ (Monday is Memorial Day. Campus closed.)
Participation for today:
2 individual points for saying
something during class discussion.

4. Paper 3
OR: WHAT IS AN ANNOTATED BIBLIOGRAPHY
AND HOW DO I WRITE ONE?

5. Argument Analysis (Again)
Remember our terminology to talk about
arguments:
◦ issue: what question is this piece of writing
trying to answer?
◦ conclusion: the answer to that question.
◦ reasons: the reasons for that answer.
◦ evidence: data or statistics or facts that serve as
or support reasons.
Everyone gets the same editorial this time.
Read it. Then mark it.
What to mark:
1. What is the issue? What question that the
author wants to answer? Where do you find
this question? (Circle and label.)
◦ Why does the author think this is a question
worth asking? (Underline and label.)
2. What is the author’s answer to the
question? This is their conclusion. Where is it?
(Circle and label it.)
3. What reasons does the author provide?
What is his evidence?
◦ There are several reasons and several pieces of
evidence.
◦ Underline these and label them.

6. Some tips about correlations
(and questions about stats).
What does a correlation tell you?
◦ Positive
◦ Negative
◦ Zero(ish)
Does correlation tell you that one variable
causes a change in another? Why not?
◦ Third variable examples: coffee and anxiety,
churches and crime, buying a car and going on
vacation.
How do you make sense of many studies that
report (contradictory) correlations?
◦ Say there are five studies that investigate the link
between red wine consumption and heart
disease.
◦ Here are the five correlations: .4, .1, 0, -.1, -.2
◦ What conclusions could you draw here?
How could we come up with a better
conclusion?
Meta-analysis.

7. HW for next Wednesday
1. Reading for Wed, May 30:
Browne & Keeley, Ch. 3-4 (available on Canvas
soon…)
2. Discussion Post 13 (question due by
midnight on Tuesday night; response to
classmate's question due the next morning
before Math).
3. Paper 3, PART 1 draft due in class.
4. There will be an NYT quiz.