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The main thing you may need is the website to search variable and here is the link:

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Here are the steps:

Go to the website, then copy the variable name into the “search term ” box, then click search, then find the variable in the 2015-2016 and click. It is going to take you to another page, find and click the DOC file. And check the variable information


A random 24 subjects were recruited from NHANES 15-16 cycle for subjects? systolic blood pressure (mm Hg):


116 134 136 136 98 120 100 112 120 180 106 150 112 108 106 124 132 120 148 138 102 142 106 130

1. Conduct a one sample T test to investigate whether the average systolic blood pressure is equal to the historical control 110 mm Hg.

(Show your work. And attache your SAS output if needed)

1) Calculate the point estimate (average systolic blood pressure)

2) Calculate standard error

3) Calculate the test statistics

4) Find the critical value

5) Find the p value

6) Interpret the result from t test statistics

2. Construct and interpret the 95% confidence interval to estimate the average systolic blood pressure

(Show your steps to construct the 95% confidence interval)

3. State conclusion for the study


A random 8 kindergarten children were recruited to participate pre and post instruction assessments. They were assessed before and after instruction and their grades were recorded to investigate whether there is a difference between pre and post grades:

ID

1

2

3

4

5

6

7

8

Pre

80

60

77

90

100

70

96

98

Post

85

63

73

92

100

85

94

100

Pre-Post

1. Conduct paired t test to investigate whether the difference between pre and post assessments is 0.

(Show your work. And attache your SAS output if needed)

1) Calculate the point estimate (the average of grade difference)

2) Calculate standard error

3) Calculate the test statistics

4) Find the critical value

5) Find the p value

6) Interpret the result from t test statistics

2. Construct and interpret the 95% confidence interval to estimate the average grade difference between pre and post

(Show your steps to construct the 95% confidence interval)


Run sample and Conduct one sample t test for BMI (BMXBMI, kg/m2) in NHANES.nh1516 to whether the average BMI is equal to the historical control 25 kg/ m2

(attached your SAS ouput )

1) identify the point estimate (average BMI)

2) identify standard error

3) identify the test statistics

4) identify the p value

5) Interpret the result from t test statistics

6) Identify and interpret 95% confidence interval to estimate the average systolic blood pressure

7) State conclusion for the study

BMX1516

Respondent sequence number Weight (kg) Standing Height (cm) Body Mass Index (kg/m**2) Waist Circumference (cm)
83732 94.8 184.5 27.8 101.1
83733 90.4 171.4 30.8 107.9
83734 83.4 170.1 28.8 116.5
83735 109.8 160.9 42.4 110.1
83736 55.2 164.9 20.3 80.4
83737 64.4 150 28.6 92.9
83738 37.2 143.5 18.1 67.5
83739 16.4 102.1 15.7 48.5
83740 10.1
83741 76.6 165.4 28 86.6
83742 64.5 151.3 28.2 93.3
83743 72.4 166.1 26.2
83744 108.3 179.4 33.6 116
83745 71.7 169.2 25 88.3
83746 17.7 105 16.1 56.5
83747 86.2 176.7 27.6 104.3
83748 17.3 103.6 16.1 52.5
83749 75.9 161.7 29 98.3
83750 76.2 177.8 24.1 90.1
83751 51.7 152.6 22.2 74.2
83752 71.2 163.6 26.6 90.7
83753 71.2 170.5 24.5 76.9
83754 117.8 164.1 43.7 123
83755 97.4 183.8 28.8 106.3
83756 60 163.9 22.3 76
83757 80.5 150.8 35.4 113.5
83759 100.8 175.4 32.8 104.6
83760 14.6 94.7 16.3 47.5
83761 61.8 156.4 25.3 79.5
83762 107.9 168.5 38 114.8
83763 12.1 89.8 15 45.6
83764 54.8 170.8 18.8 69.8
83765 5.2
83766 51 160 19.9 76.6
83767 59 149.9 26.3 88.9
83768 52.4 158 21 73.6
83769 72.8 170.7 25 96.6
83770 48 162 18.3 63.6
83772 15.2 93.8 17.3 50.6
83773 67.7 149.8 30.2 108.4
83774 55.9 169.7 19.4 76.8
83775 77.7 160.2 30.3 106.8
83776 56.6 157.5 22.8 83
83777 69 166.1 25 93.5
83778 99.9 170.2 34.5 111.5
83779 11.8
83780 18.2 103.9 16.9 54.5
83781 87.8 160.7 34 103.6
83783 96.4 171.1 32.9 107
83784 73.7 170.7 25.3 86.2
83785 75.6 145.2 35.9 108
83786 102.1 182.2 30.8 107.7
83787 77.4 152 33.5 103.1
83788 84 164.6 31 103
83789 102.9 173.9 34 109.5
83790 85.6 187.4 24.4 100.5
83791 78.6 167.6 28 104.2
83792 17.4 103.8 16.1 53.4
83793 56.3 157.7 22.6 78
83794
83795 23 120.2 15.9 55.4
83796 20.3 102.6 19.3 57.5
83797 9.8
83798 8.2
83799 66.6 161.6 25.5
83800 34.7 141.8 17.3 59.4
83801 58.5 157.1 23.7 90.1
83802 68.4 169.8 23.7 93
83803 79.1 166.3 28.6 93.7
83804 12.6
83805 41.5 139.4 21.4 68.4
83806 15.3 90.8 18.6
83807 47.3 150.1 21 68.8
83808 21.9 112.3 17.4 53.6
83809 72.9 166.8 26.2 92.6
83810 24 121 16.4 53.6
83811 27.9 123.4 18.3 57.2
83812 63.7 147.9 29.1 110
83813 89.2 182.2 26.9 89.2
83814 41.4 143.4 20.1 68.2
83815 80.9 159.1 32 103
83816 59.3 178.4 18.6 79.1
83817 86.1 183.7 25.5 96.8
83818 72.3 159.2 28.5 97.9
83819 78.3 156.2 32.1 109.9
83820 81.7 173.8 27 100.3
83821 79.8 165.7 29.1
83822 60.4 164.8 22.2 78.4
83823 66.8 150 29.7 96.5
83824 72.4 180.3 22.3 80.7
83825 55.6 160.5 21.6 78
83826 21.8 107.6 18.8 61.3
83827 93 177.5 29.5 109.4
83828 71.3 162 27.2 94.6
83829 65.8 170.6 22.6 90
83830 77.2 175.5 25.1 78.8
83831 92.2 173.9 30.5 98.3
83832 105.9 157.7 42.6 129.1
83833 50.7 169.3 17.7 66.5
83834 87.7 176.4 28.2 105.3
83835 79.4 163.2 29.8 101.8
83836 68.6 156.5 28 89.3
83837 77.5 148.3 35.2 107.6
83838 34.3 134.1 19.1 73
83839 53.8 171.6 18.3 72.9
83840 7.3
83841 55.9 164.6 20.6 73.6
83842
83843 78.3 179.7 24.2 104.5
83844 68.9 172.8 23.1 85.2
83845 133.3 171.5 45.3
83847 71.2 185 20.8 77.8
83848 44.6 143 21.8 77.1
83849 80.3 170.6 27.6 101.7
83851 85.1 155.3 35.3 106.5
83852 7.2
83853 76.1 166.7 27.4 88.7
83854 110.2 162.7 41.6 110.2
83855 33.6 143.9 16.2 58.5
83856 89.1 181.5 27 99.1
83857 70.4 159 27.8 85
83858 7.5
83859 11.8 88.2 15.2 45.7
83860 146.1 189.4 40.7 134.6
83862 60.3 157.1 24.4 78.7
83863 95.8 175.6 31.1 104.6
83864 19.5 111.6 15.7 54.1
83865 39.7 156.3 16.3 65.5
83866 88 169.3 30.7 93
83867 72.3 173.9 23.9 83
83868 43.2 145.7 20.4 71
83869 61.3 160.2 23.9 94.3
83870 82.4 169.8 28.6 94.2
83871 53.7 139.9 27.4 82.4
83872 67.2 170 23.3 88.9
83873 17.8 104.8 16.2 54.1
83874 91.2 173.9 30.2 97.1
83875 91.6 163.1 34.4 99.4
83876 61.5 152.7 26.4
83878 42.2 151.2 18.5 64
83879 50.3 150.5 22.2 71.4
83880 49.7 143.9 24
83881 63.2 162.7 23.9 80.3
83882 21 112.7 16.5 54.4
83883 46.7 152.4 20.1 78.4
83884 62.2 167 22.3 86.5
83885 48.7 149.3 21.8 74.5
83886 84.1 175.9 27.2 102.8
83887 51.4 149.3 23.1 74
83888 15.7 99.1 16 51.1
83889 77.7 178.7 24.3 94.2
83890 50.5 157.4 20.4 69.3
83891 109.5 167.9 38.8 111.1
83892 11 84.6 15.4 40.8
83894 58.9 173.1 19.7 79.9
83895 56.2 154.5 23.5 85
83896 36.9 133.7 20.6 70.5
83897 79.1 160.6 30.7 100.4
83898 86 185.4 25 97
83899 75.3 177 24 83.2
83900 73 165.9 26.5 102.2
83901 38.5 139 19.9 70.2
83902 90.7 188.5 25.5 96.7
83903 110.2 161.1 42.5 123.8
83905 54.7 139.3 28.2 90.7
83906 44.8 156.3 18.3 68.5
83907 71.5 172.4 24.1 86
83908 70.5 169.1 24.7 88
83909 95.7 159.1 37.8 117.6
83910 73.2 178.9 22.9 81.1
83911 91.1 172.3 30.7 101.6
83912 14
83913 72.5 171.6 24.6 95
83914 99.3 171.5 33.8 115.4
83915 90 173.6 29.9 109
83916 34.7 132.4 19.8 61.5
83917 68.2 156.9 27.7 82
83918 51.6 162.8 19.5 65.5
83919 64.7 172.9 21.6 76.1
83920 85.7 156 35.2 111.7
83921 62.1 159.3 24.5 87
83922 9.5
83923 11
83924 93.8 162.4 35.6 122.4
83925 57.9 154.1 24.4 90.1
83926 77.8 170.5 26.8 93.5
83928 55.4 154 23.4 94.9
83929 55.3 152.7 23.7 77
83930 71.6 176.6 23 78
83931 78.7 174 26 89
83932 65.7 156.3 26.9 94
83933 90.8 164.6 33.5 102.2
83934 49.7 170.2 17.2 64
83935 55.7 154.4 23.4 86.6
83936 56.8 155.5 23.5 90.8
83937 56.4 152.3 24.3 87.9
83938 82.5 173.3 27.5
83939 7.4
83940 58.9 167 21.1 75.3
83941 68.9 166.6 24.8 85.9
83942 7.7
83943 71.3 163.2 26.8 84.4
83944 92.3 173 30.8 104.3
83946 116.7 181.9 35.3 115.8
83947 73.5 168.4 25.9 96.6
83948 48.9 152.9 20.9 72
83949 78.9 160 30.8 110
83950 71.4 172.7 23.9 89.2
83951 56.5 164.1 21 70.3
83952 74.3 161.2 28.6 97.1
83953 67.9 153.8 28.7 93
83954 78.4 174.1 25.9 94.6
83955 93.1 176 30.1 103.3
83956 8.3
83957 5.1
83958 58.6 160.6 22.7 77.9
83959 126.3 162.9 47.6 129.7
83960 47.4 151.3 20.7 70.4
83961 73.2 154.7 30.6 97.5
83962 68.4 166.5 24.7 88
83963 147 167.9 52.1
83964 67 149.4 30 94
83965 129.3 179.4 40.2 134.9
83966 120.1 180 37.1 114.6
83967 60.9 169 21.3 77
83968 37.2 142.1 18.4
83969 95.8 164.9 35.2 107.2
83970 25.1 124.8 16.1 54.9
83971 109.2 167.5 38.9 112.4
83972 49.1 142.6 24.1 87
83973 93.1 178.1 29.4 103.1
83974 13.5
83975 77.6 155.3 32.2 101.5
83976 74.6 169.5 26 98.9
83977 48.2 152.1 20.8 78.1
83978 32.8 132.9 18.6 57.9
83979 101.2 177.2 32.2 99.6
83980 57.7 142.1 28.6 83.2
83981 57.8 167 20.7 72.1
83982 71.4 176.2 23 78.8
83984 23.9 123.2 15.7 57.2
83985 57.5 176.5 18.5 69.5
83986 98.1 180.9 30 108
83987 97.1 178.4 30.5 113.4
83988 105.1 178.4 33 111.2
83989 72.2 159.3 28.5
83990 66.8 151.4 29.1 105.8
83991 84.6 166.7 30.4 98
83992 61.5 164.9 22.6
83993 121.9 156.4 49.8 141
83994 96.8 176.2 31.2 108.1
83995 143.6 182.4 43.2 136.6
83996 91.3 166 33.1 112.5
83997 75.3 160.8 29.1 102.5
83998 48.6 157.3 19.6 67.1
83999 73.4 171.5 25 89.9
84000
84001 78 168.5 27.5 94
84002 98.1 175.1 32 110.6
84003 14.4
84004 101.7 160.5 39.5 118
84005 137.7 173.6 45.7 128.2
84006 85 159.8 33.3 104
84008 60.1 153.9 25.4 86.7
84009 33.9 132.5 19.3
84010 55.4 160.8 21.4 82.5
84011 119.6 178.2 37.7 129.3
84012 69.2 177.6 21.9 83.6
84013 59 173.4 19.6 75.5
84014 70.4 167.5 25.1 87.3
84015 71.6 161.4 27.5 106.5
84016 68.9 169 24.1 88.4
84017 27.1 128.6 16.4 62.2
84018 110.1 192.9 29.6 105.4
84019 82.2 169.7 28.5 93.6
84021 81.5 162.5 30.9 105.6
84022 158.2 164.1 58.7 164
84023 49.4 156.2 20.2 71.7
84024 17.1 105.9 15.2 51.8
84025 96.2 168.2 34 92.7
84026 136.2 174.6 44.7 142
84027 14.4 91 17.4
84028 60.3 161.3 23.2 86.6
84029 51.1 158.5 20.3 77.4
84030 63.8 159.3 25.1 91.6
84032 78.4 171.1 26.8 98.5
84033 89.7 163.4 33.6 96
84034 44.6 150.8 19.6 68.8
84035 46.4 147.3 21.4 76
84036 100.2 186.5 28.8 110.5
84037 78.8 178.3 24.8 93.5
84038 82.8 161.2 31.9 101.4
84039 73.4 161.2 28.2 95.9
84041 60.8 161.1 23.4 89.4
84042 63.9 181.8 19.3 85.2
84043 4.4
84045 36.4 139.3 18.8
84046 90.4 165 33.2 114.5
84047 50.7 151.6 22.1 81.2
84048 4.9
84049 120.4 167.4 43 131
84050 70.5 157.1 28.6 101.4
84051 95.9 171.9 32.5 105.9
84052 29.7 132.5 16.9 57
84053 12
84054 92.4 171.9 31.3 99.5
84055 49.5 154.3 20.8 82.2
84056 63.4 148.9 28.6 84.7
84057 12.9 93.2 14.9 44
84058 63.2 165.4 23.1 78.3
84059 14.9 103.2 14 45.3
84060 9.1
84061 68 158 27.2 98.5
84062 80.4 154.1 33.9 107.6
84063 44.8 160 17.5 67.2
84064 7.3
84065 67.4 161.4 25.9 89.6
84066 56.6 174 18.7 75.7
84067 4.2
84068 80.6 172.6 27.1 96.5
84069 83.8 168.2 29.6 104.5
84070 91.2 176.2 29.4 105.3
84072 86.9 164 32.3 99.5
84073 80.2 158.5 31.9 103.1
84074 59.8 146.1 28 95
84075 178.9
84077 76.4 157.4 30.8 105.3
84078 32.4 133.2 18.3 61.2
84079 52.8 154.3 22.2 74.1
84080 17.2
84081 8
84082 51.8 158.4 20.6 74.4
84083 13.3
84085 27.5 128.6 16.6 55.2
84086 84.9 174.5 27.9 96.1
84087 60.7 164 22.6 76.5
84088 60 161 23.1 84.3
84089 78.2 183.3 23.3 95.8
84090 89.1 167.7 31.7 98.6
84091 60.6 162.7 22.9 74.4
84092 51.3 148.7 23.2
84093 71.7 163.8 26.7 82
84094 57.3 159.4 22.6 83.4
84095 69.8 160 27.3 96.1
84096 30.8 137.7 16.2 55.1
84097 20.5 115.2 15.4 49.7
84098 67.3 177.4 21.4 73.8
84099 91.3 169 32 116.9
84100 77.7 164.2 28.8 98
84101 108.3 176.8 34.6 130.7
84102 88.7 162.5 33.6 91.3
84103
84104 10
84105 89 189.4 24.8 96.2
84106 68.5 166.8 24.6 85.9
84107 53.3<