NOTES: STANDARD DEVIATION DAY 4 Textbook Chapter 11.1, 11.3
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1 NOTES: STANDARD DEVIATION DAY 4 Textbook Chapter 11.1, 11.3 OBJECTIVE: Today you will learn about standard deviation and the normal curve! There are three ways that we can measure how spread out the data in a data set is Who did the best? 5 problem sets were assigned this quarter. Joe received the following scores: 12, 18, 18, 19, 18. Another student, Charlotte, received these scores: 20, 19, 19, 20, 7. Who did better on their problem sets? How can we tell? Let s find the standard deviation of the Problem Set scores to tell us who was the most CONSISTENT. Without doing the calculation, determine which of the following two sets of data have the smaller standard deviation. Explain. Data set #1: Data set #2: Now with a calculator, calculate the standard deviation for both. Did you make the correct decision above?
2 The mean, median and mode are all equivalent Area under the curve (total probability) is 1, or 100% Curve is symmetrical EMPIRICAL RULE Monthly food expenditures for 750 families of four in a large city average $420 with a standard deviation of $80. Assuming that the monthly food expenditures are normally distributed: a. What percentage is between $260 and $340? b. How many of these expenditures is between $260 and $340? c. How many are less than $260 or greater than $580? d. If a family spends $525 on food each month, determine the percentile for their monthly food expenditures. e. How much must a family spend in order to be in the top 30% of monthly food expenditures.
3 PRACTICE: EMPIRICAL RULE DAY 4 A machine fills 12 ounce Potato Chip bags. It places chips in the bags. Not all bags weigh exactly 12 ounces. The weight of the chips placed is normally distributed with a mean of 12.4 ounces and with a standard deviation of 0.2 ounces. The company has asked you to determine the following probabilities to aid in consumer relations concerning the weight of the bags purchased. a. If you purchase a bag filled by this dispenser what is the likelihood it has less than 12 ounces? b. If you purchase a bag filled by this dispenser what is the likelihood it has more than 12 ounces? c. If you purchase a bag filled by this dispenser what is the likelihood it has less than 12.6 ounces? d. If you purchase a bag filled by this dispenser what is the likelihood it has between 12 and 12.6 ounces? e. What weight of the bag is represented by the 84 th percentile? Explain your answer. f. If there are 400 bags, how many of those bags had a weight between 12 and 12.6 ounces?
4 Practice Using your Calculator 1. The 1998 average monthly temperatures for a town are given below: a) Find the mean b) Find the standard deviation 2. Students in Mr. Johnson s class took a test on statistics. The test scores are as follows: 97, 88, 91, 60, 86, 72, 88, 76, 66, 60, 50, 61, 88, 73, 72, and 97 a) Find the mean b) Find the standard deviation c) Make a box and whisker plot
5 HOMEWORK: STANDARD DEVIATION NAME: DAY 4 DUE: 1. Scores on the SAT verbal test in recent years are approximately normal with mean 505 and standard deviation 45. a. What percent of students scored below a 460? b. What percent of students scored between 460 and 595? c. How high must a student score in order to place in the top 16% of all students? d. If there are 250 students total, how many students scored between a 460 and 595? #1 6: Represent each of the following distributions on the normal distribution graph given. For each, show three standard deviations to the left and three standard deviations to the right of the mean. 2. A normal distribution with a mean of 7 and a standard deviation of A standard normal distribution.
6 #4-6: Represent each of the following distributions on the normal distribution graph given. For each, show three standard deviations to the left and three standard deviations to the right of the mean. Then answer the question using the Rule (Do NOT use normalcdf in the calculator) 4. The length of wear on Spinning Tires is normally distributed with a mean of 60,000 miles and a standard deviation of 5,000 miles. Shade the region under the curve that represents the fraction of tires that last between 50,000 miles and 70,000 miles. What fraction of tires does that represent? 5. The number of crackers in a box of Crackerbox Crackers is normally distributed with a mean of 75 and a standard deviation of 2. Shade the region under the curve that represents the probability that a box has between 73 and 77 crackers. What is that probability? 6. The length of time it takes to groom a dog at Shaggy s Pet Shoppe is normally distributed with a mean of 45 minutes and a standard deviation of 10 minutes. Shade the region under the curve that represents the percent of dog grooming times greater than 65 minutes. What is that percent?
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