What is the probability of a male living more than 86 years in the U.S.?

In summary, statistics is the study of collecting, analyzing, and interpreting numerical data, while probability deals with the likelihood of events occurring. These concepts are used in everyday life in fields such as finance, marketing, healthcare, and sports. Some common misconceptions about statistics and probability include their ability to predict individual outcomes, prove causation, and their limited use in non-math related fields. The choice of statistical test depends on the type of data and research question, and understanding can be improved through practice, education, and collaboration with others.
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Homework Statement


Assume the life expectancy of U.S. males is normally distributed with a mean of 80 years and a standard deviation of 5 years. What is the probability that a randomly selected male lives more than 86 years?


Homework Equations


(work shown below)


The Attempt at a Solution



z=(86-80)/(5) = 6/5 = 1.2
P=1 - .8849 = 0.1151
 
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Looks fine. Just checking if you did it right?
 

Related to What is the probability of a male living more than 86 years in the U.S.?

1. What is the difference between statistics and probability?

Statistics is a branch of mathematics that deals with collecting, analyzing, and interpreting numerical data. Probability, on the other hand, is a branch of mathematics that deals with the likelihood of events occurring. Statistics is used to make conclusions about a population based on a sample, while probability is used to predict the likelihood of outcomes based on known information.

2. How are statistics and probability used in everyday life?

Statistics and probability are used in a variety of ways in everyday life. They are used in fields such as finance, marketing, healthcare, and sports to make informed decisions and predictions. For example, statistics can be used to analyze stock market trends or to determine the effectiveness of a new medical treatment. Probability can be used to predict the chances of winning a lottery or the likelihood of a sports team winning a game.

3. What are some common misconceptions about statistics and probability?

One common misconception is that statistics and probability can predict individual outcomes. In reality, they can only make predictions about the likelihood of outcomes based on a large sample size. Another misconception is that statistics and probability can be used to prove causation, when in fact they can only show correlation. Lastly, there is a misconception that statistics and probability are only used in math-related fields, when in fact they are used in various industries and everyday life.

4. How do you determine which statistical test to use?

The choice of statistical test depends on the type of data being analyzed and the research question being asked. For example, if you are comparing two groups, you may use a t-test. If you are looking for associations between variables, you may use a correlation test. It is important to carefully consider the data and research question before selecting a statistical test.

5. How can I improve my understanding of statistics and probability?

One way to improve your understanding is to practice using statistics and probability in real-life situations. This can be through analyzing data sets or conducting experiments. Additionally, reading books or taking courses on the subject can help deepen your understanding. Collaborating with others who have a strong understanding of statistics and probability can also be beneficial in improving your knowledge.

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