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Course: Statistics and probability > Unit 9
Lesson 4: Combining random variablesCombining normal random variables
When we combine variables that each follow a normal distribution, the resulting distribution is also normally distributed. This lets us answer interesting questions about the resulting distribution.
Example 1: Total amount of candy
Each bag of candy is filled at a factory by machines. The first machine fills the bag with blue candies, the second with green candies, the third with red candies, and the fourth with yellow candies. The amount of candy each machine dispenses is normally distributed with a mean of and a standard deviation of . Also, assume that the amount dispensed by any given machine is independent from the other machines.
Let be the total weight of candy in a randomly selected bag.
Find the probability that a randomly selected bag contains less than of candy.
Let's solve this problem by breaking it into smaller pieces.
Example 2: Difference in bowling scores
Adam and Mike go bowling every week. Adam's scores are normally distributed with a mean of pins and a standard deviation of pins. Mike's scores are normally distributed with a mean of pins and a standard deviation of pins. Assume that their scores in any given game are independent.
Let be Adam's score in a random game, be Mike's score in a random game, and be the difference between Adam's and Mike's scores where .
Find the probability that Mike scores higher than Adam in a randomly selected game.
Let's solve this problem by breaking it into smaller pieces.
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