Before viewing this page, it would be helpful to first read One-Stage Probability in Gambling.
Published in Oxford University medical journal Bandolier, the table below shows the risk of death with age in the United Kingdom.
|ANNUAL DEATH RISK IN UK ( 1 in x )|
|Under 1 yr||177||227|
|1 - 4 yr||4386||5376|
|5 - 14 yr||8333||10417|
|15 - 24 yr||1908||4132|
|25 - 34 yr||1215||2488|
|35 - 44 yr||663||1106|
|45 - 54 yr||279||421|
|55 - 64 yr||112||178|
|65 - 74 yr||42||65|
|75 - 84 yr||15||20|
Q1. What is your risk of dying?
Q2. What is the "safest" gender and age to be alive?
Q3. What is the "riskiest" age and gender? Why do you think this is?
Q4. Do men or women have the highest risk of dying? Why do you think this is?
Q5. Old Mary's risk of dying is 0.05. How old is she?
Q6. How would this information affect your life?
A2. 5-14 yr women
A3. 75-84 yr men
A5. 75-84 yr
A6. Insurance premiums are based on probabilities.
Q1. According to Carnegie Mellon University's Cylab, approximately 10.2% (about 1⁄10) of US children who wrote their personal details on social networking sites and e-mails will be the victims of identity theft. If there are 1000 students in your school, how many students may have their identities stolen?
Q2. A 2006 Harris Interactive survey found that 43% (more than 2⁄5) of US teenagers have been cyber-bullied by e-mails, chat rooms or text messages. Cyber-bullying is a federal crime. If there are 1000 students in your school, how many students may have been cyber-bullied?
A1. 102 students
A2. 430 students
If you one of these, you are not just a statistic! Please tell a parent, a teacher or the police.