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Statistical Analysis of Deaths in the U.S.

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1. In a recent year, there were approximately 97,000 deaths in the United States (total population 281 million) due to accidents. Approximately 25,000 of these accidental deaths involved people age 75 or older. Roughly 42,000 of these deaths were due to automobiles and 17,000 involved falls.

a. Find the overall death rate for accidents in units of death per 100,000 people.
b. What is the probability that a person is less than 75 years of age and dies from an accident during the course of a year?
c. Approximately how much more likely is it that you will die in an automobile accident than from a fall?
d. What is the death rate for falls in units of deaths per 1 million people?

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Death stats

1. In a recent year, there were approximately 97,000 deaths in the United States (total population 281 million) due to accidents. Approximately 25,000 of these accidental deaths involved people age 75 or older. Roughly 42,000 of these deaths were due to automobiles and 17,000 involved falls.

a. Find the overall death rate for accidents in units of death per 100,000 people.

The overall death ...

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  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
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  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
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