Bricks manufactured in a kiln are weighed every day to check them against the design weight. The probability that a sample of 12 bricks will have none weighing less than the design weight is 0.06782. Answer the following questions. What is the probability of the sample containing more than three bricks weighing less than the design weight?
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!
Bricks manufactured in a kiln are weighed every day to check them against the design weight. The
What is the probability of the sample containing more than three bricks weighing less than the design weight?
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