Chance News 102: Difference between revisions

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[http://www.nytimes.com/2014/10/16/upshot/how-not-to-be-fooled-by-odds.html?abt=0002&abg=0 How not to be fooled by odds] may add to students confusion.  Several of his examples merely state the proportion of something in a population.  To turn them into probability statements would require changing the wording to read something like "The probability that a randomly chosen woman will be shorter than 5 feet 3 inches."
[http://www.nytimes.com/2014/10/16/upshot/how-not-to-be-fooled-by-odds.html?abt=0002&abg=0 How not to be fooled by odds] may add to students confusion.  Several of his examples merely state the proportion of something in a population.  To turn them into probability statements would require changing the wording to read something like "The probability that a randomly chosen woman will be shorter than 5 feet 3 inches."


Above comment added by Emil Friedman.
Above comment added by Emil M. Friedman.

Revision as of 15:12, 22 October 2014

Quotations

Forsooth

Alas, the graph is not smarter:

Wunderground drop.png
-- sidebar on Weather Underground forecast page, 19 October 2014

The nonzero baseline (note the 70% label fading into the background here) is of course a familiar trick for exaggerating comparisons, and examples abound. It just feels worse in a claim about scientific accuracy!

Submitted by Bill Peterson

Ebola quanrantines

How to quarantine against Ebola
by Siddartha Mukherjee, New York Times, 12 October 2014

This op-ed piece dismisses several strategies for containing entry and spread of Ebola in the U.S. in favor of blood-sample screening based on multiplying any genes of the virus present via PCR (polymerase chain reaction).

Author Mukherjee (a professor of medicine at Columbia University) cites a false-positive rate of 3 per thousand and a false-negative rate of 4 per thousand.

Discussion

1. If an average of one person per planeload of 200 people has contracted the Ebola virus, what is the ratio of false positives to true positives in screening such planeloads?

2. If one in 1,000 people screened has the Ebola virus, what is the ratio of false positives to true positives?

3. If one in 10,000 people screened has the Ebola virus, what is the ratio of false positives to true positives?

4. Dr. Mukherjee cites a 2000 study in The Lancet of 24 "asymptomatic" individuals who had been exposed to Ebola. They were tested for the Ebola virus using an earlier version of the proposed screening test. Of the 24:

  • 11 developed Ebola, 7 of whom had had positive tests;
  • 13 did not develop Ebola, and none of them had tested positive.

From these data, how would you estimate the false-positive rate and false-negative s (with appropriate measures of uncertainty)? (The rates 3/1000 and 4/1000 cited above are for a later version of the method as refined in 2004.)

Submitted by Paul Campbell

Interpreting election forecasts

How not to be fooled by odds
by David Leonhardt, "The Upshot" blog, New York Times, 15 October 2014

Will the midterm elections result in Republican control of the Senate? The latest Upshot forecast gives a 74% chance. Leonhardt observes that the person in the street might interpret this a virtual lock. Nevertheless, he says that people do understand the statement that the chance of rolling a sum of eight or lower with two dice is about 74%: this is a better than even chance, but not a lock. Or, via the complement (26% chance) it is possible to get a sum exceeding eight.

For reference, he gives a list of situations that correspond to the 26% figure. Among these:

  • The chances that a blackjack casino dealer busts
  • The frequency with which a 25-year-old woman is shorter than 5 feet 3 inches
  • The share of Americans who live in California, Texas or New York

Discussion
1. Do you think people confuse a 74% probability with a poll that says 74% of those surveyed say they will vote Republican?

2. What do you think of the dice analogy? In what ways is this like simulating the election, and how might it differ?

Submitted by Bill Peterson

How not to be fooled by odds may add to students confusion. Several of his examples merely state the proportion of something in a population. To turn them into probability statements would require changing the wording to read something like "The probability that a randomly chosen woman will be shorter than 5 feet 3 inches."

Above comment added by Emil M. Friedman.