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1. Homework, Page 768 Make a stemplot of the data in table 9.11. Year Home Runs 1957 14 1958 28 1959 16 1960 39 1961 61 1962 33 1963 23 1964 26 1965 8 1966 13 1967 9 1968 5 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 0 1 2 3 4 5 6 5 3 3 3 8 9 4 6 6 8 9 1 Slide 9- 1 Homework, Page 768 5. Make a back-to-back stemplot of the life expectancies of males and females in South America. Use whole years and split stems. Male Age Female 3 0 6 8 8 8 7 6 5 8 3 3 3 2 2 1 7 1 2 7 5 6 7 7 9 9 8 0 0 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 2 Homework, Page 768 9. Draw a histogram of the frequency table in Exercise 7. y Age Frequency 60.0 64.9 2 65.0 69.9 4 70.0 74.9 6 60 65 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 70 75 x Slide 9- 3 Homework, Page 768 13. Make a time plot of Willie Mays’ annual home run totals. Home Runs by Willie Mays 60 Home Runs 50 40 30 Home Runs 20 10 0 1940 1950 1960 1970 1980 Year Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 4 Homework, Page 768 17. Make a time plot of men’s winnings. PGA Top Winners' Winnings Winnings ($1,000) 10000 8000 6000 4000 2000 0 1960 1970 1980 1990 2000 2010 Year Winnings growth was approximately linear until the late 1990s when it became almost exponential for several years. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 5 Homework, Page 768 21. Make a time plot comparing the home run totals of Willie Mays and Mickey Mantle. Home Run comparison 60 Home Runs 50 40 Mays 30 Mantle 20 10 0 1940 1950 1960 1970 1980 Year Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 6 Homework, Page 768 25. Compare the populations of California, New York, and Texas from 1900 t0 2000. Population (Millions) Population comparison for CA, NY, and TX 40 35 30 25 20 15 10 5 0 1850 CA NY TX 1900 1950 2000 2050 Year Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 7 Homework, Page 768 29. A. B. C. D. E. A time plot is an example of a Histogram Bar graph Line graph Pie chart Table Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 8 Homework, Page 768 31. The histogram below would most likely result from which set of data? A. test scores for a fairly easy test B. weights of children in a third-grade class C. winning soccer scores for a team over the course of a year D. ages of all people visiting the Bronx Zoo at a given point in time E. prices of all the desserts on the menu at a certain restaurant y x Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 9 9.8 Statistics and Data (Algebraic) Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Quick Review Write the sum in expanded form. 5 1. x i i 0 1 2. x 3 1 3. x x 3 Write the sum in sigma notation 4. x f x f x f x f 3 i i 1 3 i 1 2 2 1 5. 20 i 3 3 4 4 5 5 x x x x x x x x 2 1 2 2 2 3 2 4 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 11 Quick Review Solutions Write the sum in expanded form. x x x x x x 5 1. x i 0 i 0 1 2 3 4 5 1 1 2. x x x x 3 3 1 1 3. x x x x x xx x 3 3 Write the sum in sigma notation 3 i i 1 3 i 1 1 2 i 3 1 2 4. x f x f x f x f 2 2 1 5. 20 3 3 4 4 5 3 5 5 x f i i 2 i x x x x x x x x 2 1 2 2 2 3 2 4 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 1 x x 20 4 i 1 i 2 Slide 9- 12 What you’ll learn about Parameters and Statistics Mean, Median, and Mode The Five-Number Summary Boxplots Variance and Standard Deviation Normal Distributions … and why The language of statistics is becoming more commonplace in our everyday world. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 13 Mean The mean, commonly called the average, of a list of n numbers x , x ,..., x is 1 2 n x x ... x 1 x x. n n n 1 2 n i 1 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley i Slide 9- 14 Median The median of a list of n numbers {x1,x2,…,xn} arranged in order (either ascending or descending) is the middle number if n is odd, and the mean of the two middle numbers if n is even. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 15 Mode The mode of a list of numbers is the number that appears most frequently in the list. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 16 Finding Mean, Median, and Mode To find the Mean and Median, enter the data in one of the lists, then, on the Stat menu, select Calc, and then select 1-Var Stats and press enter. In the parentheses after 1-Var Stats on the home screen, enter the list containing the data and close the parentheses and press enter. The stats will be displayed on the screen. x indicates the mean. Median is indicated by Med. To find the mode, return to the Stat menu and select either Sort A or Sort D, and press enter. Indicate the list in which your data is located and close the parentheses and press enter. When the screen displays Done, return to the list and it will be in numerical order. Go through it and find which number appears most frequently and that is the mode. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 17 Example Finding Mean, Median, and Mode Find the (a) mean, (b) median, and (c) mode of the data: 3, 6, 5, 7, 8, 10, 6, 2, 4, 6 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 18 Weighted Mean The formula for finding the mean of a list of numbers x , x ,..., x with 1 2 n n frequencies f , f ,..., f 1 2 n x f x f x f ... x f is x . f f ... f f 1 1 2 2 n n i 1 i i n 1 2 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley n i 1 i Slide 9- 19 Quartiles and Percentiles If a set of data is arranged in order, it may be divided into fourths. Each fourth is called a quartile. The first quartile, Q1,is the median of the lower half of the data, the second quartile, Q2, is the median, and the third quartile, Q3, is the median of the upper half. The interquartile range (IQR) measures the spread between the first and third quartiles, the middle half of the data. IQR Q3 Q1 If your test results say you are in the 60th percentile, that means that you scored better than 60% of the test takers. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 20 Five-Number Summary The five - number summary of a data set is the collection minimum, Q , median, Q , maximum . 1 3 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 21 Boxplot Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 22 Box and Whisker or Box Plot The box and whisker or box plot is a graph that depicts the five-number summary of a data set. To graph a box plot, do the following: Enter the data in one of the lists in the stats menu Use second and Y= to select one of the plot menus Under type, select the icon in the middle of the second row Indicate which list contains the data at Xlist: Press zoom 9 to see the box plot Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 23 Box and Whisker or Box Plot Continued Using the trace command and the right and left arrows, we can find the values of the five numbers in the five number summary: Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 24 Outlier A number in a data set can be considered an outlier if it is more than 1.5×IQR below the first quartile or above the third quartile. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 25 Standard Deviation The standard deviation of the numbers x , x ,..., x is 1 2 n 1 x x , where x denotes the mean. n The variance is , the square of the standard deviation. n i 1 i 2 2 Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 26 Normal Curve Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 27 The 68-95-99.7 Rule If the data for a population are normally distributed with mean μ and standard deviation σ, then Approximately 68% of the data lie between μ – 1σ and μ + 1σ. Approximately 95% of the data lie between μ – 2σ and μ + 2σ. Approximately 99.7% of the data lie between μ – 3σ and μ + 3σ. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 28 The 68-95-99.7 Rule Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 29 Example, Page 782 Find the mean of the data set. 6. {27.4, 3.1, 9.7, 32.3, 12.8, 39.4, 73.7} Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 30 Example, Page 782 14. A painting crew in College Station, PA painted 12 houses in 5 days and a crew in College Station, TX painted 15 houses in 7 days. Determine the average number of houses each crew painted per day. Which crew had the greater rate? Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 31 Example, Page 782 A) Find the average of the indicated temperatures in Beijing. B) Find the weighted average using the number of days in the month. Month High Low January 2 -9 February 5 March High Low July 32 22 -7 August 31 21 12 -1 September 27 14 April 20 7 October 21 7 May 27 13 November 10 -1 June 31 18 December 3 -7 20. Month The monthly high temperatures. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 32 Example, Page 782 B) Find the weighted average using the number of days in the month. Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 33 Homework Homework Assignment #34 Read Section 10.1 Page 782, Exercises: 1 – 45(EOO), 47 Quiz next time Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide 9- 34