# Difference between revisions of "Chance News 44"

## Quotation

While writing my book [Stochastic Processes] I had an argument with Feller. He asserted that everyone said random variable' and I asserted that everyone said chance variable'. We obviously had to use the same name in our books, so we decided the issue by a stochastic procedure. That is, we tossed for it and he won.
A Conversation with Joe Doob

Statistical Science, Vol. 12, No. 4 (Nov., 1997), pp. 301-311

## Forsooth

Game Theory Explains Why You Can't Hurry Love.

"From a female's point of view, males are not all equal" and "there remains some risk that she will mate with the wrong type of male. She cannot eliminate this risk completely unless she decides never to mate."
Dr Peter Sozou
Warwick Medical School and
LSE Centre for Philosophy of Natural and Social Science.
Quoted in Science Daily
Commenting upon here
And the math is here

Submitted by Paul Alper

Anyone who has ever been skeptical about meta-analysis will enjoy this photograph or this cartoon.

Submitted by Steve Simon

## Statistics with heart-pounding excitement

The Manga Guide to Statistics, Shin Takahashi and Trend-pro Co., November 2008, 224 pp.

I suppose it was only a matter of time - now you can be entertained by a manga cartoon and learn about statistics at the same time:

Our heroine, Rui, is determined to learn about statistics to impress the dreamy Mr. Igarashi and begs her father for a tutor. Soon she's spending her Saturdays with geeky, bespectacled Mr. Yamamoto, who patiently teaches her all about the fundamentals of statistics: topics like data categorization, averages, graphing, and standard deviation.

This comic uses real-world examples like teen magazine quizzes, bowling games, test scores, and ramen noodle prices to enliven the subject matter. Not surprisingly, the intended readers are people interested in learning more about statistics.

After all her studying, Rui is confident in her knowledge of statistics, including complex concepts like probability, coefficients of correlation, hypothesis tests, and tests of independence. But is it enough to impress her dream guy? Or maybe there's someone better, right in front of her?

Examples, exercises, and answer keys help you follow along and check your work. An appendix showing how to perform statistics calculations in Microsoft Excel makes it easy to put Rui's lessons into practice.

No Starch Press publishes the finest in geek entertainment -- distinctive books on computing, such as bestsellers Steal This Computer Book, How Linux Works, Hacking: The Art of Exploitation, The Cult of Mac, and The Unofficial LEGO Builder's Guide, with a focus on open source/Linux, security, hacking, programming, and alternative operating systems.

Submitted by John Gavin.

## A suggestion for stats classes

Annette Georgey wrote to the Isolated Statisticans

An article came out in today's Wall St. Journal that would be fun to use for introductory stats classes. It touches on several concepts--the limits of observational studies, confounding, spurious correlations, type I errors.

The author, Melinda Beck, uses as example an article"You are what your mother eats" in the Proceedings of the Royal Society B and on a criticism of this article: "Cereal-Induced gender selection? Most likely a multiple testing false positive" in the same journal.

The original article was discussed in Chance News 36 here by Paul Alper so we would advise you to look at this also.

Beck writes

Some statisticians argue for a tougher standard of proof when researchers are fishing in large data sets. One method, a Bonferroni adjustment, requires dividing the usual mathematical formula by the number of variables; if 100 foods are studied, the link must be 100 times as strong as usual to be considered significant. Otherwise, statisticians say only strict clinical trials with a control group and a test group and one variable can truly prove a cause-and-effect association.
Epidemiologists argue that a Bonferroni adjustment throws out many legitimate findings, and that it's irrelevant how many other factors are studied simultaneously. They also note that controlled clinical trials are costly, time-consuming and sometimes unethical. The link between smoking and cancer, for example, was seen in many observational studies, but forcing subjects to smoke for years to prove it would be untenable.

Submitted by Laurie Snell

### Discussion

(0) Do you think that your students will understand Beck's comments on the Bonferroni adjustment? Do you?

Have your students answer the following questions asked by Paul Alper in his discussion of the Royal Society article.

1. Here is a wiki which looks at a different study-on mice-which also claims that nutrition affects the percentages of males and females. Which of the two is an experimental study and which is an observational study?

2. The current study was done in England and of the 740 mothers-to-be, 301 (approximately 40%) said they currently were smokers. Why would this fact cast doubt on the conclusions being applied to the United States?

3. Eating cereal for breakfast is a very American habit, duplicated in few countries; even those other countries, such as England where cereal is eaten for breakfast, have nowhere near the selection possibilities obtainable in the United States. Many industrialized countries eat little or no breakfast at all. What then should the male/female ratio be for these countries?

4. It is often said that many cereals are really candies in disguise. If so, should the mother-to-be "cut to the chase" and just have a candy bar for breakfast? If not, why not?

5. Instead of the customary .05 level, the researchers chose a p-value < 01 for determining statistical significance. Why did they lower the p-value?

6. The researchers keep referring to a "bowl of cereal." Why is this an exceedingly inexact measure?

Submitted by Laurie Snell

## Two media frenzies not supported by the data

The Epidemic That Wasn’t, Susan Okie, The New York Times, January 26, 2009.

The Myth of Rampant Teenage Promiscuity, Tara Parker-Pope, The New York Times, January 26, 2009.

Two articles in the New York Times use statistics to debunk media reports of pending social disasters.

"When the use of crack cocaine became a nationwide epidemic in the 1980s and ’90s, there were widespread fears that prenatal exposure to the drug would produce a generation of severely damaged children. Newspapers carried headlines like 'Cocaine: A Vicious Assault on a Child,' 'Crack’s Toll Among Babies: A Joyless View' and 'Studies: Future Bleak for Crack Babies.'

It turns out that while cocaine is not exactly beneficial, the pessimistic prognosis in the media did not pan out.

So far, these scientists say, the long-term effects of [cocaine] exposure on children’s brain development and behavior appear relatively small. 'Are there differences? Yes,' said Barry M. Lester, a professor of psychiatry at Brown University who directs the Maternal Lifestyle Study, a large federally financed study of children exposed to cocaine in the womb. 'Are they reliable and persistent? Yes. Are they big? No.'

Research in this area is difficult, of course, because the data is observational and there are a whole host of confounders.

"Teasing out the effects of cocaine exposure is complicated by the fact that ... almost all of the women in the studies who used cocaine while pregnant were also using other substances. Moreover, most of the children in the studies are poor, and many have other risk factors known to affect cognitive development and behavior — inadequate health care, substandard schools, unstable family situations and exposure to high levels of lead."

The tendency to exaggerate the effects of leads to some serious problems.

"... cocaine-exposed children are often teased or stigmatized if others are aware of their exposure. If they develop physical symptoms or behavioral problems, doctors or teachers are sometimes too quick to blame the drug exposure and miss the real cause, like illness or abuse."

Another area ripe for debunking is the explosion of risky teenage sexual behavior.

"The talk show host Tyra Banks declared a teen sex crisis last fall after her show surveyed girls about sexual behavior. A few years ago, Oprah Winfrey warned parents of a teenage oral-sex epidemic. The news is troubling, but it’s also misleading."

Again, these risks seem to be overstated.

"While some young people are clearly engaging in risky sexual behavior, a vast majority are not. The reality is that in many ways, today’s teenagers are more conservative about sex than previous generations."

This exaggeration of the problem also has bad effects.

"Health researchers say parents who fret about teenage sex often fail to focus on the important lessons they can learn from the kids who aren’t having sex. Teenagers with more parental supervision, who come from two-parent households and who are doing well in school are more likely to delay sex until their late teens or beyond. 'For teens, sex requires time and lack of supervision,' Dr. Kefalas said. 'What’s really important for us to pay attention to, as researchers and as parents, are the characteristics of the kids who become pregnant and those who get sexually transmitted diseases. 'This whole moral panic thing misses the point, because research suggests kids who don’t use contraception tend to be kids who are feeling lost and disconnected and not doing well.'"

One researcher in the area notes the desire of many to hold on to a pessimistic perspective.

"'I give presentations nationwide where I’m showing people that the virginity rate in college is higher than you think and the number of partners is lower than you think and hooking up more often than not does not mean intercourse,' Dr. Bogle said. 'But so many people think we’re morally in trouble, in a downward spiral and teens are out of control. It’s very difficult to convince people otherwise.'"

In response to the Parker-Pope article, Judith Warner wrote a blog entry, The Myth of Lost Innocence, at the New York Times website that speculates about the motivations to exaggerate dangerous teenage sexual practices.

### Questions

1. What can the media do to minimize the exaggeration of health risks?

2. Why do you think that some people want to hold on to a pessimistic perspective, even when confronted with data showing a different perspective?

## Lotteries in the news

George Seymore called our attention to a lottery story widley reported in the news. For example it was on NPR's Morning Edition January 23, 2009. Here we read:

The winning numbers for Nebraska's Pick 3 lottery were 1, 9 and 6 on Monday. The next night, the winning numbers were 1, 9 and 6 — in the same order drawn the previous night. A lottery spokesman said two separate computers randomly generated the same numbers. There were different winners each night. The odds of such an occurrence? One in a million.

Alexander Kastan contributed the following intelegent remarks on the NPR comments:

Actually, the odds of such an occurrence on a particular day is one in a thousand. But even that understates the likelihood. This particular Nebraska lottery is held over 300 times a year. So we expect such an occurence once every three or four years. And of course, that's only in Nebraska. If any other states have similar pick 3 lotteries, we would expect such occurrences even more often.