24 1.3 1.2 0.6- 0.6 -1.2 18 24 340 7O 100 130 160 190 220 250 280 310 X Values Z Score
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!
Interpreting Normal Quantite Plots. In Exercises 5–8, examine the normal quantite plot and determine whether the sample data appear to be from a population with a
Dunkin’ Donuts Service Times The normal quantile plot represents service times during the dinner hours at Dunkin’ Donuts (from Data Set 25 “Fast Food” in Appendix B).
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
