A company that makes rice cookers performed some quality control experiments, and found that the number of years before their products would fail has the following probability density function, as described in Desmos demonstration below. E Untitled Graph 10 + Probability density function - -5 1 f (x): x< 0:0,x> 0: xe 3 00} 4 k=2 (1) 10 Show P(X < k) -5- 11 powered by What is the probability that a random rice cooker produced by the company would fail between 4.4 and 6.2 years of usage? (Your answer should be a decimal. Round to 4 decimal places if necessary.)
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!
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