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Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113.

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Presentation on theme: "Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113."— Presentation transcript:

1 Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113

2 6.4 Assessing Risk… Find the probability.  What is the probability of not rolling 2 or a 5 on a number cube?  4/6 or 66.67%  A bag contains 30 red marbles, 50 blue marbles, and 20 white marbles. You pick one marble from the bag. Find P (picking a white).  0.2 or 20%  P (not a red or a blue)  0.2 or 20%  What is the probability of being within one standard of deviation from the mean?  68%  Using a regulation deck of cards. What is the probability of not choosing a Queen?  (12/13), 0.9231, or 92.31%

3 6.4 Assessing Risk… MORE probability.  What is the probability of rolling a double 6 with two dice?  1/36 or 2.78%  A bag contains 30 red marbles, 50 blue marbles, and 20 white marbles. You pick one marble from the bag. Find P (picking a red).  0.3 or 30%  P (not a red, a blue, or a white)  0 or 0%  What is the probability of being within three standards of deviation from the mean?  99.7%  Using a regulation deck of cards. What is the probability of choosing a red Queen?  (1/26), 0.0385, or 3.85%

4 6.4 Assessing Risk… Expected Value… IInsurance claims: As actuary of an insurance company, you calculate that on average policyholders file a $5000 claim every 1/50 policies, file a $10,000 claim every 1/100 policies, and file a $30,000 claim every 1/200 policies. The company you work for charges $500 per policy. What is the expected value per policy? If you can help sell 10,000 policies what will be the companies profit? $$150(10,000) = $1,500,000 in profit Take risks to make money????

5 6.4 Assessing Risk… Risk and Travel: Death Rate or Accident Rate… Number of deaths or number of accidents scaled to an appropriate unit. For example, it is common to see automobile fatalities expressed in units of deaths per 10,000 people or deaths per mile traveled. Airline fatalities are often expressed in units of deaths per departure or deaths per miles flown.

6 6.4 Assessing Risk… Risk and Travel: Death Rate or Accident Rate… Assume the typical person drives 15,000 miles per year, and flies 5,000 miles per year. If there are 1.6x10 -8 deaths per mile on average when driving, and there are 4.4x10 -8 deaths per mile on average when flying. What are the chances of dying in both an automobile accident and an airplane accident? Therefore, your chance of dying in an automobile is roughly 1 out of 4,200, and your chance of dying in an airplane is roughly 1 out of 4,500. Values will fluctuate for each individual. 5,000

7 6.4 Assessing Risk… Risk of Diseases: Vital Statistics… Statistics that concern births and deaths of citizens EXAMPLE: Assuming the population of the United States is about 300 million. Calculate the probabilities of dying from pneumonia and cancer, given their were 85,000 and 555,000 deaths respectively.

8 6.4 Assessing Risk… Risk of Life: Mortality Curve and Life Expectancy… Mortality curve gives U.S. death rate as it changes with age. Life expectancy is the number of years a person with a given age today can expect to live on average.

9 6.4 Assessing Risk… Risk of Life: Mortality Curve and Life Expectancy… Who has a greater probability of living until they are 81 years old? A 20 year old who has roughly 61 years to live or a 60 year old who has roughly 21 years to live. Using CMS {Common Mathematical Sense}, a 60 year old is much more likely than a 20 year old to live until he/she is 81 because someone who is 60 has already lived through most of life’s threats. Reference Life Expectancy Curve from page 263, Figure 6.12b. It is linear??

10 6.4 Assessing Risk… Class work: pg 265 # 1-15 all, #19 20 minutes until debriefing


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