A deck of 52 cards has equal quantities of cards from each of the following 4 suits: heart, club, diamond, spade. How would you classify the type of data and what is the appropriate distribution to use when determining the probability of drawing a particular suit: Select one: a. Continuous Data & Standard Normal Distribution b. Discrete Data & Uniform Distribution c. Discrete Data & Poisson Distribution d. Continuous Data & Normal Distribution
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!
A deck of 52 cards has equal quantities of cards from each of the following 4 suits: heart, club, diamond, spade. How would you classify the type of data and what is the appropriate distribution to use when determining the
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