As an engineer working for a water bottling company, you collect the following data in order to test the performance of the bottling systems. Plot the data and calculate the mean and standard deviation. Milliliters of Water Frequency in the Bottle 485 13 490 17 495 25 500 40 505 23 510 18 515 15

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Q: (b) Construct and sketch the cumulative distribution function.

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Q: Q2. Suppose heights of female (cm) is normally distributed as N(μ= 165, o² = 7.5²) where the mean μ…

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Q: solve for t.

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A: Note: According to Bartleby guidelines expert solve only one question and rest can be reposted.

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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!