StemLeaf 1 267 36 4 228 51469 64589 7225669 8 00112347899 9|011223344456668889 10 155666777 11 1377 12| O a. symmetrical O b. skewed to the left Oc. skewed to the right Od. bimodal
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!
What is the shape of the distribution?
Identify the correct stem plot for the given data.
The correct option for the stem plot is identified below:
Stem and leaf plot:
The stem-and-leaf plot is a graphical representative of the quantitative data and gives the visualization of the shape of the distribution. The stem-and-leaf contains the two columns separated by the vertical line.
The stems are listed in the left side of the vertical line and these numbers symbolize 10’s digits. The leaves are listed to the right of the each stem and they symbolize 1’s digits.
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