NASA is conducting an experiment to find out the fraction of people who black out at G forces greater than 66. Step 1 of 2 : Suppose a sample of 251251 people is drawn. Of these people, 9595 passed out at G forces greater than 66. Using the data, estimate the proportion of people who pass out at more than 66 Gs. Enter your answer as a fraction or a decimal number rounded to three decimal places.
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!
NASA is conducting an experiment to find out the fraction of people who black out at G forces greater than 66.
Suppose a sample of 251251 people is drawn. Of these people, 9595 passed out at G forces greater than 66. Using the data, estimate the proportion of people who pass out at more than 66 Gs. Enter your answer as a fraction or a decimal number rounded to three decimal places.
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