What is the coefficient of determination for Data Set B? The coefficient of determination for Data Set B is %. (Type an integer or decimal rounded to the nearest tenth as needed.) Full Data Set: O Data Set A Data Set B Data Set C X y 3.6 8.3 0.5 y 8.9 15.0 4.8 y 8.9 15.0 4.8 6.0 8.9 15.0 4.8 6.0 3.1 9.4 1.2 2.8 8.1 3.0 1.4 10 14.9 11.9 6.0 14.9 8.3 8.2 9.0 5.0 3.4 7.4 0.1 82 5.9 4.3 8.3 0.3 6.8 11.9 9.8 15.0 14.9 11.9 9.8 15.0 1.4 9.8 15.0 4.7 13.0 1.0 4.7 13.0 7.9 5.9 5.0 4.7 13.0 7.5 (This is a reading assessment question. Be certain of your answer because you only get one attempt on this question.)

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A: Enter the given data in Excel as follows:

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Q: 4.39,4.47,4.21,3.86,3.72,3.64,3.77,4.60,3.82,4.87,3.94,2.91,4.88,4.21

A: Formula : CV = (standard deviation /mean)

Q: Find the 5 number summary for the data shown below. 62 27 33 89 50 32 55 45 22 59 5 number summary:

A: data in accending order are : 22,27,32,33,45,50,55,59,62,89n= 10

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A:

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A:

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A: Find the 5-number summary for the following data: 6,8,4,4,6,2,4,6,2,4,2,8,4,6

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A:

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Q: Use the following Data Set.0.09 ,0.11 ,0.11 ,0.13 ,0.14 ,0.15 ,0.17 ,0.17 ,0.18 ,0.18 ,0.23 ,0.35(a)…

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A: Data given X Frequency 3 4 5 6 8 9 11 13 13 10 15 8 18 4

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A:

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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!