STATISTICS AND PROBABILITY 3. A random variable has a normal distribution with a standard deviation of 6. If the probability of the random variable will take a value less than 45 is 0.67, what is the probability that it will take on value greater than 53? P(X <45) = P(Z< = 0.67 45 - H 53 - 4 P(X> 53) = P(Z> 4. A certain type of storage battery lasts on the average 3.0 years with a standard deviat stributed, find the probabi
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!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
