Given the following data for an imaginary superhero universe: Flying Telepathy Super Strength Female 76 63 80 Male 40 17 69 Distribution of Super Power by Gender What is the empirical probability that a randomly selected female superhero will have Super Strength?
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
Question 21
Given the following data for an imaginary superhero universe:
| Flying | Telepathy | Super Strength | |
|---|---|---|---|
| Female | 76 | 63 | 80 |
| Male | 40 | 17 | 69 |
| Distribution of Super Power by Gender |
What is the empirical probability that a randomly selected female superhero will have Super Strength?
Answer in decimal form. Round to 3 decimal places as needed
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