Section 5.2 Summer 2013 - Math 1040 (1040) M 1040 - 5.2 1/8 Roadmap Areas are probabilities! Find probabilities for normally distributed random variables. (1040) M 1040 - 5.2 2/8 Normal Curves Ratios of the areas under different normal curves are equal when the z-scores correspond. For instance, a z-score of 1 on the standard normal curve corresponds to: 1 An x-value of 600 for a normal distribution with µ = 500 and σ = 100. 2 1.75 years on a cell phone before switching for the normal distribution with µ = 1.5 years and σ = 0.25 years. 3 A 57 minute trip to the supermarket for the normal distribution of µ = 45 minutes and σ = 12 minutes. (1040) M 1040 - 5.2 3/8 Steps to find Probabilities 1 Find the z-score for the x-value. 2 Use the standard normal table to find the area to the left of that z-score. 3 If neccessary, find the area to the right, or repeat if given two x-values. The formula for the z-score is z= (1040) x −µ σ M 1040 - 5.2 4/8 Example # 11 Ford Fusion’s Breaking Distance. Draw a normal curve when µ = 143 feet, σ = 5.12 feet. Find the probability that a member is randomly selected and has breaking distance between 145 feet and 155 feet. The z-scores are: 145 − 143 ≈ 0.39, 5.12 Their areas correspond to: z1 = 0.6517, z2 = 155 − 143 ≈ 2.34. 5.12 0.9904 The difference is 0.9904 − 0.6517 = 0.3397. The probability that the breaking distance is between 145 feet and 155 feet is 0.3397. (1040) M 1040 - 5.2 5/8 Example # 16. Adult male beagles have weights that are normally distributed with a mean of 25 pounds and standard deviation of 3 pounds. A beagle is selected at random. What is the probability that the weight is less than 23 pounds? 23 − 25 ≈ −0.67 3 This corresponds to 0.2514. Then the probability for a randomly selected beagle’s weight to be less than 23 pounds is 0.2514. z= (1040) M 1040 - 5.2 6/8 Example Annual per capita consumption of coffee in the US is normally distributed. For a random sample of size 30 from this population, a group of this size consumes on average a mean of 24.2 gallons with standard deviation 1.479 gallons. What is the probability that a randomly selected group of this size consumes more than an average of 21.7 gallons? 21.7 − 24.2 ≈ −1.69 1.479 This corresponds to 0.0455. We want the area to the right of this, so 1-0.0455 = 0.9505. The probability that a randomly selected group of 30 people will consume more than 21.7 gallons of coffee per year is 0.9505. z= (1040) M 1040 - 5.2 7/8 Assignments Assignment: 1 Read pages 249 - 251. Vocabulary: No new vocabulary. Understand: How to find the probability of an event for any normal random variable. (1040) M 1040 - 5.2 8/8