2. Practice
# 2.1 (women)
# 2.3

13. Dieting

14. Pornography

15. Prostitution

16. Mate Seeking

17. Obesity Trends* Among U.S. Adults BRFSS, 1985
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14%

18. Obesity Trends* Among U.S. Adults BRFSS, 1986
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14%

19. Obesity Trends* Among U.S. Adults BRFSS, 1987
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14%

20. Obesity Trends* Among U.S. Adults BRFSS, 1988
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14%

21. Obesity Trends* Among U.S. Adults BRFSS, 1989
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14%

22. Obesity Trends* Among U.S. Adults BRFSS, 1990
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14%

23. Obesity Trends* Among U.S. Adults BRFSS, 1991
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19%

24. Obesity Trends* Among U.S. Adults BRFSS, 1992
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19%

25. Obesity Trends* Among U.S. Adults BRFSS, 1993
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19%

26. Obesity Trends* Among U.S. Adults BRFSS, 1994
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19%

27. Obesity Trends* Among U.S. Adults BRFSS, 1995
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19%

28. Obesity Trends* Among U.S. Adults BRFSS, 1996
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19%

29. Obesity Trends* Among U.S. Adults BRFSS, 1997
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% ≥20%

30. Obesity Trends* Among U.S. Adults BRFSS, 1998
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% ≥20%

31. Obesity Trends* Among U.S. Adults BRFSS, 1999
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% ≥20%

32. Obesity Trends* Among U.S. Adults BRFSS, 2000
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% ≥20%

33. Obesity Trends* Among U.S. Adults BRFSS, 2001
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% %–24% ≥25%

34. Obesity Trends* Among U.S. Adults BRFSS, 2002
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% %–24% ≥25%

35. Obesity Trends* Among U.S. Adults BRFSS, 2004
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% %–24% %–29% ≥30%

36. Obesity Trends* Among U.S. Adults BRFSS, 2005
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% %–24% %–29% ≥30%

37. Obesity Trends* Among U.S. Adults BRFSS, 2006
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% %–24% %–29% ≥30%

38. Obesity Trends* Among U.S. Adults BRFSS, 2007
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% %–24% %–29% ≥30%

39. Obesity Trends* Among U.S. Adults BRFSS, 2008
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% %–24% %–29% ≥30%

40. Obesity Trends* Among U.S. Adults BRFSS, 2009
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% %–14% %–19% %–24% %–29% ≥30%

41. Obesity Trends* Among U.S. Adults BRFSS, 2010
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
By 2050, for example, as many as 1 in 3 adults will develop diabetes if current trends continue
No Data <10% %–14% %–19% %–24% %–29% ≥30%

44. Graphic Presentation of Data
Basic parts of a graph
Y axis
X axis

45. Frequency Polygon
Graphs quantitative data
Neuroticism data

47. Frequency Polygon

48. Frequency Polygon

49. Frequency Polygon

50. Frequency Polygon

51. Frequency Polygon

52. Frequency Polygon

53. Histogram Used to graph quantitative data
Just like a frequency polygon, except it uses bars instead of lines

54. Histogram

55. Histogram

56. Histogram

57. Histogram

58. Histogram

59. Histogram

60. Describing Distributions
Bell-shaped distribution

61. Describing Distributions

62. Describing Distributions

63. Bar Graph Used to present frequencies of qualitative variables
Looks like a histograph
Each bar represents one category

64. Bar Graph

65. Bar Graph

66. Bar Graph

67. Bar Graph

68. Bar Graph

69. Line Graph A picture of a relationship between two variables
Each point represents the value of the Y variable that goes with the corresponding X variable

70. Line Graph

71. Line Graph

72. Line Graph
Put subjects in order using your X axis

73. Line Graph

74. Line Graph
Marsha: N=22; H=2

75. Line Graph
Greg: N=20; H=3

76. Line Graph
Cindy: N=12; H=5

77. Line Graph
Bobby: N=17; H=7

78. Line Graph
Jan: N=15; H=8

79. Line Graph
Peter: N=8; H=9

80. Line Graph

81. What is the meaning of the number 14 on the x-axis?
What is the meaning of the number 14 on the y-axis?
How many people had a score of 11? How about 23?
What type of graph is this? What is its distribution?

82. What is the meaning of the number 20 on the y-axis?
How many males and females are in the course?
What type of graph is this?
What scale does the x axis use? The y axis?
What type of distribution is this?

83. What is the meaning of the number 10 on the x-axis?
What is the meaning of the number 10 on the y-axis?
What type of graph is this?
What type of distribution is this?

87. Practice
Page 43
#2.12

88. Construct a line graph relating the average temperature for January and the elevation of a city. Write a sentence of interpretation.
City
Elevation (feet)
Temperature (F)
Albuquerque, NM
5000 34
Amarillo, TX
3700 35
Flagstaff, AZ
6900 29
Little Rock, AR
350 39
Oklahoma City, OK
1200 36