The ages (in years) and heights (in inches) of all pitchers for a baseball team are listed. Find the coefticient of variation for each of the two dala se compare the results. E Click the icon to view the data sets. CVneights = % (Round to one decimal place as needed.) - X Data Table Heights Ages 79 23 74 28 71 27 76 25 70 24 71 29 71 27 76 26
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!
![The ages (in years) and heights (in inches) of all pitchers for a baseball team are listed. Find the coefficient of variation for each of the two data sets. Then
compare the results.
EEA Click the icon to view the data sets.
CVneights = % (Round to one decimal place as needed.)
Data Table
e....
Heights Ages
79
23
28
27
25
24
29
74
71
by of
er tes...
76
70
71
71
27
76
26
PDF
28
34
75
chael_R...
79
72
31
75
37
X
Radio-Insta...
Print
Done
W
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