Using this data set What is the standard error of the relevant distribution? Ignoring that the number of men in the 2012 Survey was about 17,675, and the number of women was about 18,634, assume the samples were 100 men and 100 women in each Survey My worked solution is: P1: men proportion change = 15.5/100 = 0.155 N1 = 100 P2: women proportion change = 57.9/100 = 0.579 N2 = 100 {[0.155 * (1 - 0.155) /] + [0.579 * (1 - 0.579) / 100]} = 0.0037 Standard Error = 0.0037 is this correct?
Using this data set What is the standard error of the relevant distribution? Ignoring that the number of men in the 2012 Survey was about 17,675, and the number of women was about 18,634, assume the samples were 100 men and 100 women in each Survey My worked solution is: P1: men proportion change = 15.5/100 = 0.155 N1 = 100 P2: women proportion change = 57.9/100 = 0.579 N2 = 100 {[0.155 * (1 - 0.155) /] + [0.579 * (1 - 0.579) / 100]} = 0.0037 Standard Error = 0.0037 is this correct?
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Using this data set
What is the standard error of the relevant distribution? Ignoring that the number of men in the 2012 Survey was about 17,675, and the number of women was about 18,634, assume the samples were 100 men and 100 women in each Survey
My worked solution is:
|
P1: men proportion change = 15.5/100 = 0.155 N1 = 100 P2: women proportion change = 57.9/100 = 0.579 N2 = 100 {[0.155 * (1 - 0.155) /] + [0.579 * (1 - 0.579) / 100]} = 0.0037 Standard Error = 0.0037 |
is this correct?
Transcribed Image Text:Table 2. Prevalence of and Percentage Change in 12-Month High-Risk Drinking by Sociodemographic
Characteristics, 2001-2002 and 2012-2013
% (95% CI)
NESARC 2001-2002
NESARC-III 2012-2013
Sociodemographic Characteristic
(n= 43 093)
9.7 (9.3-10.2)
(n = 36 309)
12.6 (12.0-13.2)
% Change
Total
29.9
Sex
Men
14.2 (13.4-14.9)
16.4 (15.7-17.3)*
15.5
Women
5.7 (5.3-6.1)
9.0 (8.4-9.7)"
57.9
Race/ethnicity
10.0 (9.6-10.5)
12.3 (11.6-13.0)
15.1 (14.0-16.2)
White
23.0
Black
9.3 (8.4-10.4)
62.4
Native American
12.4 (9.6-15.8)
17.4 (13.6-22.1)
40.3
Asian or Pacific Islander
4.6 (3.5-6.0)
7.2 (6.0-8.8)
56.5
Hispanic
9.6 (8.8-10.6)
13.5 (12.5-14.6)
40.6
Age, y
18-29
16.9 (15.7-18.2)
19.3 (18.0-20.6)
14.2
30-44
10.8 (10.1-11.6)
14.8 (14.0-15.7)*
37.0
45-64
7.5 (6.9-8.2)
11.2 (10.5-12.1)*
49.3
265
2.3 (1.9-2.8)
3.8 (3.2-4.4)
65.2
Marital status
Married or cohabiting
9.8 (9.2-10.5)
12.0 (11.1-13.0)
20.3 (19.1-21.5)
7.3 (6.8-7.8)
34.2
Widowed, divorced, or separated
9.1 (8.3-9.9)
31.9
Never married
17.4 (16.3-18.6)
16.7
Educational level
Less than high school
9.5 (8.5-10.6)
12.8 (11.6-14.0)
34.7
High school
10.4 (9.6-11.1)
14.8 (13.9-15.9)
42.3
Some college or higher
9.5 (9.0-10.0)
11.6 (10.9-12.4)
22.1
Family income, $
15.0 (13.9-16.3)
12.6 (11.7-13.7)
12.9 (12.1-13.7)
0-19999
11.1 (10.3-12.0)
35.1
20000-34 999
10.3 (9.5-11.2)
22.3
35 000-69 999
9.3 (8.7-10.1)
38.7
270000
8.4 (7.7-9.2)
10.5 (9.7-11.4)
25.0
Poverty threshold, %
14.2 (12.9-15.5)
12.7 (11.7-13.7)
12.1 (11.4-12.7y
<100
11.8 (10.8-13.0)
20.3
100-200
9.7 (8.9-10.7)
30.9
>200
9.3 (8.8-9.8)
30.1
Urbanicity
Urban
9.7 (9.2-10.3)
13.1 (12.5-13.7)
35.1
Rural
9.6 (8.9-10.5)
10.8 (9.9-11.8)
12.5
Region
Northeast
9.3 (8.1-10.7)
12.2 (11.5-12.9)*
31.2
14.7 (12.9-16.6)
12.1 (11.1-13.1)
Midwest
11.2 (10.2-12.3)
31.3
South
9.0 (8.4-9.7)
34.4
West
9.7 (8.9-10.5)
11.8 (11.0-12.7)*
21.6
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