# Measures of the Location of the Data

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1 OpenStax-CNX module m Measures of the Location of the Data OpenStax College This work is produced by OpenStax-CNX and licensed under the Creative Commons Attribution License 3.0 The common measures of location are quartiles and percentiles Quartiles are special percentiles. The rst quartile, Q 1, is the same as the 5 th percentile, and the third quartile, Q 3, is the same as the 75 th percentile. The median, M, is called both the second quartile and the 50 th percentile. To calculate quartiles and percentiles, the data must be ordered from smallest to largest. Quartiles divide ordered data into quarters. Percentiles divide ordered data into hundredths. To score in the 90 th percentile of an exam does not mean, necessarily, that you received 90% on a test. It means that 90% of test scores are the same or less than your score and 10% of the test scores are the same or greater than your test score. Percentiles are useful for comparing values. For this reason, universities and colleges use percentiles extensively. One instance in which colleges and universities use percentiles is when SAT results are used to determine a minimum testing score that will be used as an acceptance factor. For example, suppose Duke accepts SAT scores at or above the 75 th percentile. That translates into a score of at least 10. Percentiles are mostly used with very large populations. Therefore, if you were to say that 90% of the test scores are less (and not the same or less) than your score, it would be acceptable because removing one particular data value is not signicant. The median is a number that measures the "center" of the data. You can think of the median as the "middle value," but it does not actually have to be one of the observed values. It is a number that separates ordered data into halves. Half the values are the same number or smaller than the median, and half the values are the same number or larger. For example, consider the following data. 1; 11.5; 6; 7.; 4; 8; 9; 10; 6.8; 8.3; ; ; 10; 1 Ordered from smallest to largest 1; 1; ; ; 4; 6; 6.8; 7.; 8; 8.3; 9; 10; 10; 11.5 Since there are 14 observations, the median is between the seventh value, 6.8, and the eighth value, 7.. To nd the median, add the two values together and divide by two = 7 (1) The median is seven. Half of the values are smaller than seven and half of the values are larger than seven. Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To nd the quartiles, rst nd the median or second quartile. The rst quartile, Q 1, is the middle value of the lower half of the data, and the third quartile, Q 3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set 1; 1; ; ; 4; 6; 6.8; 7.; 8; 8.3; 9; 10; 10; 11.5 Version 1.3 Nov 0, am http//creativecommons.org/licenses/by/3.0/

2 OpenStax-CNX module m46930 The median or second quartile is seven. The lower half of the data are 1, 1,,, 4, 6, 6.8. The middle value of the lower half is two. 1; 1; ; ; 4; 6; 6.8 The number two, which is part of the data, is the rst quartile. One-fourth of the entire sets of values are the same as or less than two and three-fourths of the values are more than two. The upper half of the data is 7., 8, 8.3, 9, 10, 10, The middle value of the upper half is nine. The third quartile, Q3, is nine. Three-fourths (75%) of the ordered data set are less than nine. Onefourth (5%) of the ordered data set are greater than nine. The third quartile is part of the data set in this example. The interquartile range is a number that indicates the spread of the middle half or the middle 50% of the data. It is the dierence between the third quartile (Q 3 ) and the rst quartile (Q 1 ). IQR = Q 3 Q 1 The IQR can help to determine potential outliers. A value is suspected to be a potential outlier if it is less than (1.5)(IQR) below the rst quartile or more than (1.5)(IQR) above the third quartile. Potential outliers always require further investigation. A potential outlier is a data point that is signicantly dierent from the other data points. These special data points may be errors or some kind of abnormality or they may be a key to understanding the data. Example 1 For the following 13 real estate prices, calculate the IQR and determine if any prices are potential outliers. Prices are in dollars. 389,950; 30,500; 158,000; 479,000; 639,000; 114,950; 5,500,000; 387,000; 659,000; 59,000; 575,000; 488,800; 1,095,000 Solution Order the data from smallest to largest. 114,950; 158,000; 30,500; 387,000; 389,950; 479,000; 488,800; 59,000; 575,000; 639,000; 659,000; 1,095,000; 5,500,000 M = 488,800 30, ,000 Q 1 = = 308, , ,000 Q 3 = = 649,50 IQR = 649, ,750 = 340,50 (1.5)(IQR) = (1.5)(340,50) = 510,375 Q 1 (1.5)(IQR) = 308, ,375 = 01,65 Q 3 + (1.5)(IQR) = 649, ,375 = 1,159,375 No house price is less than 01,65. However, 5,500,000 is more than 1,159,375. Therefore, 5,500,000 is a potential outlier. Exercise (Solution on p. 15.) For the following 11 salaries, calculate the IQR and determine if any salaries are outliers. The salaries are in dollars. \$33,000; \$64,500; \$8,000; \$54,000; \$7,000; \$68,500; \$69,000; \$4,000; \$54,000; \$10,000; \$40,500

3 OpenStax-CNX module m Example For the two data sets in the test scores example, nd the following a. The interquartile range. Compare the two interquartile ranges. b. Any outliers in either set. Solution The ve number summary for the day and night classes is Minimum Q 1 Median Q 3 Maximum Day Night Table 1 a. The IQR for the day group is Q 3 Q 1 = = 6.5 The IQR for the night group is Q 3 Q 1 = = 11 The interquartile range (the spread or variability) for the day class is larger than the night class IQR. This suggests more variation will be found in the day class's class test scores. b. Day class outliers are found using the IQR times 1.5 rule. So, Q 1 - IQR(1.5) = (1.5) = 16.5 Q 3 + IQR(1.5) = (1.5) = 1.5 Since the minimum and maximum values for the day class are greater than 16.5 and less than 1.5, there are no outliers. Night class outliers are calculated as Q 1 IQR (1.5) = 78 11(1.5) = 61.5 Q 3 + IQR(1.5) = (1.5) = For this class, any test score less than 61.5 is an outlier. Therefore, the scores of 45 and 5.5 are outliers. Since no test score is greater than 105.5, there is no upper end outlier. Exercise 4 (Solution on p. 15.) Find the interquartile range for the following two data sets and compare them. Test Scores for Class A 69; 96; 81; 79; 65; 76; 83; 99; 89; 67; 90; 77; 85; 98; 66; 91; 77; 69; 80; 94 Test Scores for Class B 90; 7; 80; 9; 90; 97; 9; 75; 79; 68; 70; 80; 99; 95; 78; 73; 71; 68; 95; 100 Example 3 Fifty statistics students were asked how much sleep they get per school night (rounded to the nearest hour). The results were

4 OpenStax-CNX module m AMOUNT SLEEP SCHOOL (HOURS) OF PER NIGHT FREQUENCY RELATIVE FRE- QUENCY Table CUMULATIVE RELATIVE FRE- QUENCY Find the 8 th percentile. Notice the 0.8 in the "cumulative relative frequency" column. Twenty-eight percent of 50 data values is 14 values. There are 14 values less than the 8 th percentile. They include the two 4s, the ve 5s, and the seven 6s. The 8 th percentile is between the last six and the rst seven. The 8 th percentile is 6.5. Find the median. Look again at the "cumulative relative frequency" column and nd 0.5. The median is the 50 th percentile or the second quartile. 50% of 50 is 5. There are 5 values less than the median. They include the two 4s, the ve 5s, the seven 6s, and eleven of the 7s. The median or 50 th percentile is between the 5 th, or seven, and 6 th, or seven, values. The median is seven. Find the third quartile. The third quartile is the same as the 75 th percentile. You can "eyeball" this answer. If you look at the "cumulative relative frequency" column, you nd 0.5 and When you have all the fours, ves, sixes and sevens, you have 5% of the data. When you include all the 8s, you have 80% of the data. The 75 th percentile, then, must be an eight. Another way to look at the problem is to nd 75% of 50, which is 37.5, and round up to 38. The third quartile, Q 3, is the 38 th value, which is an eight. You can check this answer by counting the values. (There are 37 values below the third quartile and 1 values above.) Exercise 5 (Solution on p. 15.) Forty bus drivers were asked how many hours they spend each day running their routes (rounded to the nearest hour). Find the 65 th percentile. Amount of time spent on route (hours) Frequency Relative Frequency Cumulative Relative Frequency continued on next page

5 OpenStax-CNX module m Table 3 Example 4 Using Table a. Find the 80 th percentile. b. Find the 90 th percentile. c. Find the rst quartile. What is another name for the rst quartile? Solution Using the data from the frequency table, we have a. The 80 th percentile is between the last eight and the rst nine in the table (between the 40 th and 41 st values). Therefore, we need to take the mean of the 40 th an 41 st values. The 80 th percentile = 8+9 = 8.5 b. The 90 th percentile will be the 45 th data value (location is 0.90(50) = 45) and the 45 th data value is nine. c. Q 1 is also the 5 th percentile. The 5 th percentile location calculation P 5 = 0.5(50) = the 13 th data value. Thus, the 5th percentile is six. Exercise 7 (Solution on p. 15.) Refer to the Table 3. Find the third quartile. What is another name for the third quartile? Your instructor or a member of the class will ask everyone in class how many sweaters they own. Answer the following questions 1.How many students were surveyed?.what kind of sampling did you do? 3.Construct two dierent histograms. For each, starting value = ending value =. 4.Find the median, rst quartile, and third quartile. 5.Construct a table of the data to nd the following a.the 10 th percentile b.the 70 th percentile c.the percent of students who own less than four sweaters

6 OpenStax-CNX module m A Formula for Finding the kth Percentile If you were to do a little research, you would nd several formulas for calculating the k th percentile. Here is one of them. k = the k th percentile. It may or may not be part of the data. i = the index (ranking or position of a data value) n = the total number of data Order the data from smallest to largest. Calculate i = k 100 (n + 1) If i is a positive integer, then the k th percentile is the data value in the i th position in the ordered set of data. If i is not a positive integer, then round i up and round i down to the nearest integers. Average the two data values in these two positions in the ordered data set. This is easier to understand in an example. Example 5 Listed are 9 ages for Academy Award winning best actors in order from smallest to largest. 18; 1; ; 5; 6; 7; 9; 30; 31; 33; 36; 37; 41; 4; 47; 5; 55; 57; 58; 6; 64; 67; 69; 71; 7; 73; 74; 76; 77 a. Find the 70 th percentile. b. Find the 83 rd percentile. Solution a. k = 70 i = the index n = 9 i = k (n + 1) = ( 100 )(9 + 1) = 1. Twenty-one is an integer, and the data value in the 1 st position in the ordered data set is 64. The 70 th percentile is 64 years. b. k = 83 rd percentile i = the index n = 9 i = k (n + 1) = ) 100 )(9 + 1) = 4.9, which is NOT an integer. Round it down to 4 and up to 5. The age in the 4 th position is 71 and the age in the 5 th position is 7. Average 71 and 7. The 83 rd percentile is 71.5 years. Exercise 9 (Solution on p. 15.) Listed are 9 ages for Academy Award winning best actors in order from smallest to largest. 18; 1; ; 5; 6; 7; 9; 30; 31; 33; 36; 37; 41; 4; 47; 5; 55; 57; 58; 6; 64; 67; 69; 71; 7; 73; 74; 76; 77 Calculate the 0 th percentile and the 55 th percentile. You can calculate percentiles using calculators and computers. There are a variety of online calculators.

7 OpenStax-CNX module m A Formula for Finding the Percentile of a Value in a Data Set Order the data from smallest to largest. x = the number of data values counting from the bottom of the data list up to but not including the data value for which you want to nd the percentile. y = the number of data values equal to the data value for which you want to nd the percentile. n = the total number of data. Calculate x+0.5y n (100). Then round to the nearest integer. Example 6 Listed are 9 ages for Academy Award winning best actors in order from smallest to largest. 18; 1; ; 5; 6; 7; 9; 30; 31; 33; 36; 37; 41; 4; 47; 5; 55; 57; 58; 6; 64; 67; 69; 71; 7; 73; 74; 76; 77 a. Find the percentile for 58. b. Find the percentile for 5. Solution a. Counting from the bottom of the list, there are 18 data values less than 58. There is one value of 58. x = 18 and y = 1. x+0.5y n (100) = (1) 9 (100) = is the 64 th percentile. b. Counting from the bottom of the list, there are three data values less than 5. There is one value of 5. x = 3 and y = 1. x+0.5y n (100) = 3+0.5(1) 9 (100) = Twenty-ve is the 1 th percentile. Exercise 11 (Solution on p. 15.) Listed are 30 ages for Academy Award winning best actors in order from smallest to largest. 18; 1; ; 5; 6; 7; 9; 30; 31, 31; 33; 36; 37; 41; 4; 47; 5; 55; 57; 58; 6; 64; 67; 69; 71; 7; 73; 74; 76; 77 Find the percentiles for 47 and Interpreting Percentiles, Quartiles, and Median A percentile indicates the relative standing of a data value when data are sorted into numerical order from smallest to largest. Percentages of data values are less than or equal to the pth percentile. For example, 15% of data values are less than or equal to the 15 th percentile. ˆ Low percentiles always correspond to lower data values. ˆ High percentiles always correspond to higher data values. A percentile may or may not correspond to a value judgment about whether it is "good" or "bad." The interpretation of whether a certain percentile is "good" or "bad" depends on the context of the situation to which the data applies. In some situations, a low percentile would be considered "good;" in other contexts a high percentile might be considered "good". In many situations, there is no value judgment that applies. Understanding how to interpret percentiles properly is important not only when describing data, but also when calculating probabilities in later chapters of this text.

8 OpenStax-CNX module m When writing the interpretation of a percentile in the context of the given data, the sentence should contain the following information. information about the context of the situation being considered the data value (value of the variable) that represents the percentile the percent of individuals or items with data values below the percentile the percent of individuals or items with data values above the percentile. Example 7 On a timed math test, the rst quartile for time it took to nish the exam was 35 minutes. Interpret the rst quartile in the context of this situation. Solution Twenty-ve percent of students nished the exam in 35 minutes or less. Seventy-ve percent of students nished the exam in 35 minutes or more. A low percentile could be considered good, as nishing more quickly on a timed exam is desirable. (If you take too long, you might not be able to nish.) Exercise 13 (Solution on p. 15.) For the 100-meter dash, the third quartile for times for nishing the race was 11.5 seconds. Interpret the third quartile in the context of the situation. Example 8 On a 0 question math test, the 70 th percentile for number of correct answers was 16. Interpret the 70 th percentile in the context of this situation. Solution Seventy percent of students answered 16 or fewer questions correctly. Thirty percent of students answered 16 or more questions correctly. A higher percentile could be considered good, as answering more questions correctly is desirable. Exercise 15 (Solution on p. 16.) On a 60 point written assignment, the 80 th percentile for the number of points earned was 49. Interpret the 80 th percentile in the context of this situation. Example 9 At a community college, it was found that the 30 th percentile of credit units that students are enrolled for is seven units. Interpret the 30 th percentile in the context of this situation. Solution

9 OpenStax-CNX module m Thirty percent of students are enrolled in seven or fewer credit units. Seventy percent of students are enrolled in seven or more credit units. In this example, there is no "good" or "bad" value judgment associated with a higher or lower percentile. Students attend community college for varied reasons and needs, and their course load varies according to their needs. Exercise 17 (Solution on p. 16.) During a season, the 40 th percentile for points scored per player in a game is eight. Interpret the 40 th percentile in the context of this situation. Example 10 Sharpe Middle School is applying for a grant that will be used to add tness equipment to the gym. The principal surveyed 15 anonymous students to determine how many minutes a day the students spend exercising. The results from the 15 anonymous students are shown. 0 minutes; 40 minutes; 60 minutes; 30 minutes; 60 minutes 10 minutes; 45 minutes; 30 minutes; 300 minutes; 90 minutes; 30 minutes; 10 minutes; 60 minutes; 0 minutes; 0 minutes Determine the following ve values. Min = 0 Q 1 = 0 Med = 40 Q 3 = 60 Max = 300 If you were the principal, would you be justied in purchasing new tness equipment? Since 75% of the students exercise for 60 minutes or less daily, and since the IQR is 40 minutes (60 0 = 40), we know that half of the students surveyed exercise between 0 minutes and 60 minutes daily. This seems a reasonable amount of time spent exercising, so the principal would be justied in purchasing the new equipment. However, the principal needs to be careful. The value 300 appears to be a potential outlier. Q (IQR) = 60 + (1.5)(40) = 10. The value 300 is greater than 10 so it is a potential outlier. If we delete it and calculate the ve values, we get the following values Min = 0 Q 1 = 0 Q 3 = 60 Max = 10 We still have 75% of the students exercising for 60 minutes or less daily and half of the students exercising between 0 and 60 minutes a day. However, 15 students is a small sample and the principal should survey more students to be sure of his survey results.

10 OpenStax-CNX module m References Cauchon, Dennis, Paul Overberg. Census data shows minorities now a majority of U.S. births. USA Today, 01. Available online at http//usatoday30.usatoday.com/news/nation/story/ /minoritybirthscensus/ /1 (accessed April 3, 013). Data from the United States Department of Commerce United States Census Bureau. Available online at http// (accessed April 3, 013) Census. United States Department of Commerce United States Census Bureau. Available online at http// (accessed April 3, 013). Data from San Jose Mercury News. Data from Time Magazine; survey by Yankelovich Partners, Inc. 5 Chapter Review The values that divide a rank-ordered set of data into 100 equal parts are called percentiles. Percentiles are used to compare and interpret data. For example, an observation at the 50 th percentile would be greater than 50 percent of the other obeservations in the set. Quartiles divide data into quarters. The rst quartile (Q 1 ) is the 5 th percentile,the second quartile (Q or median) is 50 th percentile, and the third quartile (Q 3 ) is the the 75 th percentile. The interquartile range, or IQR, is the range of the middle 50 percent of the data values. The IQR is found by subtracting Q 1 from Q 3, and can help determine outliers by using the following two expressions. Q 3 + IQR(1.5) Q 1 IQR(1.5) 6 Formula Review i = ( k 100) (n + 1) where i = the ranking or position of a data value, k = the kth percentile, n = total number of data. Expression for nding the percentile of a data value ( ) x + 0.5y n (100) where x = the number of values counting from the bottom of the data list up to but not including the data value for which you want to nd the percentile, y = the number of data values equal to the data value for which you want to nd the percentile, n = total number of data 7 Exercise 18 (Solution on p. 16.) Listed are 9 ages for Academy Award winning best actors in order from smallest to largest. 18; 1; ; 5; 6; 7; 9; 30; 31; 33; 36; 37; 41; 4; 47; 5; 55; 57; 58; 6; 64; 67; 69; 71; 7; 73; 74; 76; 77 a. Find the 40 th percentile. b. Find the 78 th percentile. Exercise 19 Listed are 3 ages for Academy Award winning best actors in order from smallest to largest. 18; 18; 1; ; 5; 6; 7; 9; 30; 31; 31; 33; 36; 37; 37; 41; 4; 47; 5; 55; 57; 58; 6; 64; 67; 69; 71; 7; 73; 74; 76; 77

12 OpenStax-CNX module m Exercise 8 (Solution on p. 16.) Suppose that you are buying a house. You and your realtor have determined that the most expensive house you can aord is the 34 th percentile. The 34 th percentile of housing prices is \$40,000 in the town you want to move to. In this town, can you aord 34% of the houses or 66% of the houses? Use Exercise to calculate the following values Exercise 9 First quartile = Exercise 30 (Solution on p. 16.) Second quartile = median = 50 th percentile = Exercise 31 Third quartile = Exercise 3 (Solution on p. 16.) Interquartile range (IQR) = = Exercise th percentile = Exercise 34 (Solution on p. 16.) 70 th percentile = 8 Homework Exercise 35 The median age for U.S. blacks currently is 30.9 years; for U.S. whites it is 4.3 years. a. Based upon this information, give two reasons why the black median age could be lower than the white median age. b. Does the lower median age for blacks necessarily mean that blacks die younger than whites? Why or why not? c. How might it be possible for blacks and whites to die at approximately the same age, but for the median age for whites to be higher? Exercise 36 (Solution on p. 16.) Six hundred adult Americans were asked by telephone poll, "What do you think constitutes a middle-class income?" The results are in Table 4. Also, include left endpoint, but not the right endpoint. Salary (\$) Relative Frequency < 0, ,0005, ,00030, ,00040, ,00050, ,00075, ,00099, ,

13 OpenStax-CNX module m Table 4 a. What percentage of the survey answered "not sure"? b. What percentage think that middle-class is from \$5,000 to \$50,000? c. Construct a histogram of the data. i. Should all bars have the same width, based on the data? Why or why not? ii. How should the <0,000 and the 100,000+ intervals be handled? Why? d. Find the 40 th and 80 th percentiles e. Construct a bar graph of the data Exercise 37 Given the following box plot Figure 1 a. which quarter has the smallest spread of data? What is that spread? b. which quarter has the largest spread of data? What is that spread? c. nd the interquartile range (IQR). d. are there more data in the interval 510 or in the interval 1013? How do you know this? e. which interval has the fewest data in it? How do you know this? i. 0 ii. 4 iii. 101 iv. 113 v. need more information Exercise 38 (Solution on p. 17.) The following box plot shows the U.S. population for 1990, the latest available year. Figure

14 OpenStax-CNX module m a. Are there fewer or more children (age 17 and under) than senior citizens (age 65 and over)? How do you know? b. 1.6% are age 65 and over. Approximately what percentage of the population are working age adults (above age 17 to age 65)?

15 OpenStax-CNX module m Solutions to Exercises in this Module Solution to Exercise (p. ) Order the data from smallest to largest. \$8,000; \$33,000; \$40,500; \$4,000; \$54,000; \$54,000; \$64,500; \$68,500; \$69,000; \$7,000; \$10,000 Median = \$54,000 Q 1 = \$40,500 Q 3 = \$69,000 IQR = \$69,000 \$40,500 = \$8,500 (1.5)(IQR) = (1.5)(\$8,500) = \$4,750 Q 1 (1.5)(IQR) = 8,000 \$4,750 = \$14,750 Q 3 + (1.5)(IQR) = \$69,000 + \$4,750 = \$111,750 No salary is less than \$14,750. However, \$10,000 is more than \$11,750, so \$10,000 is a potential outlier. to Exercise (p. 3) Class A Order the data from smallest to largest. 65; 66; 67; 69; 69; 76; 77; 77; 79; 80; 81; 83; 85; 89; 90; 91; 94; 96; 98; 99 Median = = 80.5 Q 1 = = 7.5 Q 3 = = 90.5 IQR = = 18 Class B Order the data from smallest to largest. 68; 68; 70; 71; 7; 73; 75; 78; 79; 80; 80; 90; 90; 9; 9; 95; 95; 97; 99; 100 Median = = 80 Q 1 = 7+73 = 7.5 Q 3 = 9+95 = 93.5 IQR = = 1 The data for Class B has a larger IQR, so the scores between Q 3 and Q 1 (middle 50%) for the data for Class B are more spread out and not clustered about the median. Solution to Exercise (p. 4) The 65 th percentile is between the last three and the rst four. The 65 th percentile is 3.5. to Exercise (p. 5) The third quartile is the 75 th percentile, which is four. The 65 th percentile is between three and four, and the 90 th percentile is between four and The third quartile is between 65 and 90, so it must be four. to Exercise (p. 6) k = 0. Index = i = k (n + 1) = 100 (9 + 1) = 6. The age in the sixth position is 7. The 0th percentile is 7 years. k = 55. Index = i = k (n + 1) = 100 (9 + 1) = Round down to 16 and up to 17. The age in the 16 th position is 5 and the age in the 17 th position is 55. The average of 5 and 55 is The 55 th percentile is 53.5 years. to Exercise (p. 7) Percentile for 47 Counting from the bottom of the list, there are 15 data values less than 47. There is one value of 47. x = 15 and y = 1. x+0.5y n (100) = (1) 9 (100) = is the 53 rd percentile. Percentile for 31 Counting from the bottom of the list, there are eight data values less than 31. There are two values of 31. x = 15 and y =. x+0.5y n (100) = () 9 (100) = is the 31 st percentile.

16 OpenStax-CNX module m to Exercise (p. 8) Twenty-ve percent of runners nished the race in 11.5 seconds or more. Seventy-ve percent of runners nished the race in 11.5 seconds or less. A lower percentile is good because nishing a race more quickly is desirable. to Exercise (p. 8) Eighty percent of students earned 49 points or fewer. Twenty percent of students earned 49 or more points. A higher percentile is good because getting more points on an assignment is desirable. to Exercise (p. 9) Forty percent of players scored eight points or fewer. Sixty percent of players scored eight points or more. A higher percentile is good because getting more points in a basketball game is desirable. Solution to Exercise (p. 10) a. The 40 th percentile is 37 years. b. The 78 th percentile is 70 years. Solution to Exercise (p. 11) Jesse graduated 37 th out of a class of 180 students. There are = 143 students ranked below Jesse. There is one rank of 37. x = 143 and y = 1. percentile. Solution to Exercise (p. 11) x+0.5y n (100) = (1) 180 (100) = Jesse's rank of 37 puts him at the 80 th a. For runners in a race it is more desirable to have a high percentile for speed. A high percentile means a higher speed which is faster. b. 40% of runners ran at speeds of 7.5 miles per hour or less (slower). 60% of runners ran at speeds of 7.5 miles per hour or more (faster). Solution to Exercise (p. 11) When waiting in line at the DMV, the 85 th percentile would be a long wait time compared to the other people waiting. 85% of people had shorter wait times than Mina. In this context, Mina would prefer a wait time corresponding to a lower percentile. 85% of people at the DMV waited 3 minutes or less. 15% of people at the DMV waited 3 minutes or longer. Solution to Exercise (p. 11) The manufacturer and the consumer would be upset. This is a large repair cost for the damages, compared to the other cars in the sample. INTERPRETATION 90% of the crash tested cars had damage repair costs of \$1700 or less; only 10% had damage repair costs of \$1700 or more. Solution to Exercise (p. 1) You can aord 34% of houses. 66% of the houses are too expensive for your budget. INTERPRETATION 34% of houses cost \$40,000 or less. 66% of houses cost \$40,000 or more. Solution to Exercise (p. 1) 4 Solution to Exercise (p. 1) 6 4 = Solution to Exercise (p. 1) 6 Solution to Exercise (p. 1) a. 1 ( ) = 0.06 b = 0.63 c. Check student's solution. d. 40 th percentile will fall between 30,000 and 40, th percentile will fall between 50,000 and 75,000 e. Check student's solution.

17 OpenStax-CNX module m Solution to Exercise (p. 13) a. more children; the left whisker shows that 5% of the population are children 17 and younger. The right whisker shows that 5% of the population are adults 50 and older, so adults 65 and over represent less than 5%. b. 6.4% Glossary Denition 1 Interquartile Range or IQR, is the range of the middle 50 percent of the data values; the IQR is found by subtracting the rst quartile from the third quartile. Denition Outlier an observation that does not t the rest of the data Denition 3 Percentile a number that divides ordered data into hundredths; percentiles may or may not be part of the data. The median of the data is the second quartile and the 50 th percentile. The rst and third quartiles are the 5 th and the 75 th percentiles, respectively. Denition 4 Quartiles the numbers that separate the data into quarters; quartiles may or may not be part of the data. The second quartile is the median of the data.

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