1. Let Z defined by the product of two numbers taken separately from two boxes containing 1, 2,3 and 4.
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!
![B. Directions: Find the random variable and its probabilities for each given item. Construct a probability
distribution and probability histogram.
1. Let Z defined by the product of two numbers taken separately from two boxes containing 1, 2,3 and 4.
2. A company has five applicants for two positions: two women and three men. Suppose that the five
applicants are equally qualified and that no preference is given for choosing either gender. Let X
equal the number of women chosen to fill the two positions.
3. In a file of 10 records with 2 errors, 5 are examined. Let the random variable Y be the number of errors.
4. Three paper bills are drawn in succession without replacement from a piggy bank containing 10 20-
peso bill, 15 50-peso bill, and 5 100-peso bill. Let random variable X be the number of 20-peso bill
drawn.
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