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DataAnalysis2 xDataAnalysis xMilestone111 xProgramFrequenciesData x
 

  • Type of paperEssay (Any Type)
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Research TOPIC: DBT Intervention on Substance Abuse Population USING THE UPLOADED TABLES AND GRAPHS, RESPOND TO THE QUESTION BELOW I. Results (1–2 pages A. Using desсrіptive statistics, describe the demographic characteristics of your sample, e.g., age, race, sex, and so forth. B. Using at least one or more statistical tests you think appropriate, describe the results of your data analysis to answer your evaluation question(s). II. Discussion of Results (2–3 pages) A. What do these findings mean? What could account for these findings other than the intervention? B. How do the limitations of the study (the design, instrument, sample, reliability, validity) influence findings?

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From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM

All data in table included – no filtering

  

Freq

Col %

Age Group

< 20

309

20.6%

20-29

189

12.6%

30-39

176

11.7%

40-64

390

26.0%

65+

436

29.1%

Gender

Male

7

69

51.3%

Female

731

48.7%

From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering

  

Freq

Col %

Age Group

< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 26.0% 65+ 436 29.1% Gender Male 769 51.3% Female 731 48.7% From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM All data in table included - no filtering    Freq Col % Age Group < 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 26.0% 65+ 436 29.1% Gender Male 769 51.3% Female 731 48.7%

From sofa_db.demo_tbl on 03/06/2018 at 03:41 PM

All data in table included – no filtering

  

Freq

Col %

Freq

Col %

Freq

Col %

Freq

Col %

Age Group

< 20

309

20.6%

20-29

189

12.6%

30-39

63

13.5%

176

11.7%

40-64

390

26.0%

65+

436

29.1%

Country

Japan

Italy

Germany

TOTAL

63

13.5%

141

27.8%

105

19.9%

66

14.2%

54

10.7%

 69

13.1%

53

10.5%

60

11.4%

116

24.9%

135

26.6%

139

26.4%

158

33.9%

124

24.5%

154

29.2%

From sofa_db.demo_tbl on 03/06/2018 at 03:44 PM

All data in table included – no filtering

Results of Pearson’s Chi Square Test of Association Between “Age Group” and “Country”

p value: < 0.001 (1.359e-5) 

1

Pearson’s Chi Square statistic: 36.606

Degrees of Freedom (df): 8

Country

Japan

Italy

Germany

TOTAL

Obs

Exp

Obs

Exp

Obs

Exp

Age Group

< 20 63

141

105

309

20-29

66

54

69

189

30-39

63

53

60

176

40-64

116

135

139

390

65+

158

124

154

436

TOTAL

Obs

Exp

96.0

104.4

108.6

309.0

58.7

63.9

66.4

189.0

54.7

59.5

61.8

176.0

121.2

131.8

137.0

390.0

135.5

147.4

153.2

436.0

466

466.0

507

507.0

527

527.0

1500

1500.0

Minimum expected cell count: 54.677

% cells with expected count < 5: 0.0

1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.

  

Freq

Col %

Age Group

< 20

309

20.6%

20-29

189

12.6%

30-39

176

11.7%

40-64

390

26.0%

65+

436

29.1%

Gender

Male

769

51.3%

Female

731

48.7%

From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM

All data in table included – no filtering

  

Freq

Col %

Age Group

< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 26.0% 65+ 436 29.1% Gender Male 769 51.3% Female 731 48.7%

From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering

  

Freq

Col %

Age Group

< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 26.0% 65+ 436 29.1% Gender Male 769 51.3% Female 731 48.7%

From sofa_db.demo_tbl on

0

3

/0

6

/

2

0

1

8

at 03:33 PM

All data in table included – no filtering

  

Freq

Col %

Age Group

<

20

309

20.6%

20-29

18

9

12.6%

30-39

176

11.7%

4

0-64

390

2

6.0

%

6

5

+

436

29.1%

Gender

Male

7

69

51.3%

Female

731

4

8.7%

From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering

  

Freq

Col %

Age Group

< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 2

6.0%

65+

436

29.1%

Gender

Male

769

51.3%

Female

731

48.7%

From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering

  

Freq

Col %

Age Group

< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390

26

.0%

65+

436

29.1%

Gender

Male

769

51.3%

Female

731

48.7%

From sofa_db.demo_tbl on 03/06/2018 at 03:41 PM

All data in table included – no filtering

  

Country

Japan

Italy

Germany

TOTAL

Freq

Col %

Freq

Col %

Freq

Col %

Freq

Col %

Age Group

< 20

63

13.5%

14

1

27.8%

10

5

19.9%

309

20.6%

20-29

66

14.2%

54

1

0.7

%

69

13.1%

189

12.6%

30-39

63

13.5%

53

10.5%

60

1

1.4

%

176

11.7%

40-64

116

24

.9%

135

26.6%

139

2

6.4

%

390

26.0

%

65+

158

33.9%

124

24.5%

154

2

9.2

%

436

29.1%

From sofa_db.demo_tbl on 03/06/2018 at 03:44 PM

All data in table included – no filtering

Results of Pearson’s Chi Square Test of Association Between “Age Group” and “Country”

p value: <

0.0

01 (1.359e-5) 

1

Pearson’s Chi Square statistic: 36.606

Degrees of Freedom (df): 8

Country

Japan

Italy

Germany

Obs

Exp

Obs

Exp

Obs

Exp

Age Group

< 20 63

141

105

309

20-29

66

54

69

189

30-39

63

53

60

176

40-64

116

135

139

390

65+

158

124

154

436

TOTAL

TOTAL

Obs

Exp

96.0

104.4

108.6

309.0

58.7

63.9

66.4

189.0

54.7

59.5

6

1.8

176.0

12

1.2

131.8

13

7.0

390.0

135.5

147.4

153.2

436.0

46

6

466.0

50

7

507.0

527

5

27.0

1500

1500.0

Minimum expected cell count: 54.677

% cells with expected count < 5: 0.0

1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.

Interpreting the Proportions chart – look at the “All combined” category – the more different the other Age Group categories look from this the more likely the Chi Square test will detect a difference. Within each Age Group category the Country values add up to 1 i.e.

100

%. This is not the same way of displaying data as a clustered bar chart although the similarity can be confusing.

  

From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:18 PM

All data in table included – no filtering

  

Freq

Col %

18

18.0%

14

14.0

%

2

2.0%

2

2.0%

Age

2

1.0

 20

2

0.0%

2

2.0

 18

18.0

%

2

3.0

2

4.0

 14

1

4.0%

25

.0
26.0 6 6.0%
27.0 2

2.0%

28.0

29.0

30.0

 4 4.0%

From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM

All data in table included – no filtering

  

Freq

Col %

Age

21.0

20

20.0

%

22.0

18

18.0%

23.0

18

18.0%

24.0

14

14.0%

25.0

14

14.0%

26.0

6

6.0%

27.0

2

2.0%

28.0

2

2.0%

29.0

2

2.0%

30.0

4

4.0%

From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included – no filtering

  

Freq

Col %

Age

21.0

20

20.0%

22.0

18

18.0%

23.0

18

18.0%

24.0

14

14.0%

25.0

14

14.0%

26.0

6

6.0%

27.0

2

2.0%

28.0

2

2.0%

29.0

2

2.0%

30.0

4

4.0%

From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:24 PM

All data in table included – no filtering

  

Freq

Col %

Freq

Col %

Freq

Col %

Age

21.0

6

4

22.0

2

8

23.0

4

20.0%

6

8

23.5%

24.0

10

21.7%

4

11.8%

25.0

2

10.0%

4

8

23.5%

26.0

2

10.0%

4

8.7%

0

0.0%

27.0

0

0.0%

2

0

0.0%

28.0

2

10.0%

0

0.0%

0

0.0%

29.0

0

0.0%

2

4.3%

0

0.0%

30.0

2

10.0%

0

0.0%

2

Racethn

1.0

2.0

3.0

30.0%

 10

21.7%

11.8%

10.0%

 8

17.4%

23.5%

13.0

%
0 0.0%
8.7%

4.3%

5.9%

From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:30 PM

All data in table included – no filtering

Results of Pearson’s Chi Square Test of Association Between “Age” and “Racethn”

p value: 0.01772 
1

Pearson’s Chi Square statistic:

32

.785

Degrees of Freedom (df): 18

Racethn

1.0

3.0

TOTAL

Obs

Exp

Obs

Exp

Obs

Exp

Obs

Exp

Age

21.0

6

10

4

20

22.0

2

8

8

18

23.0

4

3.6

6

8.3

8

6.1

18

18.0

24.0

0

10

4

14

25.0

2

2.8

4

6.4

8

4.8

14

14.0

26.0

2

4

2.8

0

2.0

6

27.0

0

2

0

2

2.0

28.0

2

0.4

0

0.9

0

0.7

2

2.0

29.0

0

0.4

2

0.9

0

0.7

2

2.0

30.0

2

0

2

4

4.0

TOTAL

20

20.0

2.0
4.0 9.2

6.8

 20.0

3.6

8.3

6.1

 18.0

2.8

 6.4

4.8

 14.0
1.2 6.0

0.4

0.9

 0.7

0.8

 1.8 1.4
46

46.0

34

34.0

 100

100.0

Minimum expected cell count: 0.4

% cells with expected count < 5: 73.3

1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.

Interpreting the Proportions chart – look at the “All combined” category – the more different the other Age categories look from this the more likely the Chi Square test will detect a difference. Within each Age category the Racethn values add up to 1 i.e. 100%. This is not the same way of displaying data as a clustered bar chart although the similarity can be confusing.

  

From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:38 PM

All data in table included – no filtering

Results of Pearson’s Chi Square Test of Association Between “Uscreen” and “Group”

p value: < 0.001 (1.984e-8)  1

Pearson’s Chi Square statistic: 4

1.5

38

Degrees of Freedom (df): 4

1.0

2.0

TOTAL

Obs

Exp

Obs

Exp

Obs

Exp

20

12.5

25.0

1.0

8

16.0

2.0

6

20

13.0

26.0

3.0

0

14

7.0

14

14.0

4.0

0

1.5

3

3.0

TOTAL

50

50.0

100

100.0

Group

Uscreen

0.0

12.5

 5 25
24

16.0

 32

32.0
13.0 26
7.0
1.5 3
50

50.0

Minimum expected cell count: 1.5

% cells with expected count < 5: 20.0

1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.

From sofa_db.demo_tbl on 03/0

6

/

2

0

18

at 03:33 PM

All data in table included – no filtering

  

Freq

Col %

Age Group

<

20

309

20.6%

20-29

189

12.6%

30-39

176

11.7%

4

0-64

390

26.0

%

65+

436

29.1%

Gender

Male

7

69

51.3%

Female

731

48.7%

From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering

Freq

Col %

Age Group

< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 2

6.0%

65+

436

29.1%

Gender

Male

769

51.3%

Female

731

48.7%

  

From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included – no filtering

  

Freq

Col %

Age Group

< 20 309 20.6% 20-29 189 12.6% 30-39 176 11.7% 40-64 390 26.0% 65+ 436 29.1% Gender Male 769 51.3% Female 731 48.7%

From sofa_db.demo_tbl on 03/06/2018 at 03:41 PM

All data in table included – no filtering

  

Freq

Col %

Freq

Col %

Freq

Col %

Freq

Col %

Age Group

< 20

309

20.6%

20-29

189

12.6%

30-39

63

13.5%

176

11.7%

40-64

390

26.0%

65+

436

29.1%

Country

Japan

Italy

Germany

TOTAL

63

13.5%

14

1

27.8%

105

19.9%

66

14.2%

54

10.7%

 69

13.1%

53

10.5%

60

11.4%

116

24.9%

135

26.6%

139

26.4%

158

33.9%

124

24.5%

154

29.2%

From sofa_db.demo_tbl on 03/06/2018 at 03:44 PM

All data in table included – no filtering

Results of Pearson’s Chi Square Test of Association Between “Age Group” and “Country”

p value: < 0.001 (1.359e-5) 

1

Pearson’s Chi Square statistic: 36.606

Degrees of Freedom (df): 8

Country

Japan

Italy

Germany

TOTAL

Obs

Exp

Obs

Exp

Obs

Exp

Age Group

< 20 63

141

105

309

20-29

66

54

69

189

30-39

63

53

60

176

40-64

116

135

139

390

65+

158

124

154

436

TOTAL

Obs

Exp

96.0

104.4

108.6

309.0

58.7

63.9

66.4

189.0

54.7

59.5

61.8

176.0

121.2

131.8

137.0

390.0

135.5

147.4

153.2

436.0

466

466.0

507

507.0

527

5

27.0

1500

1500.0

Minimum expected cell count: 54.677

% cells with expected count < 5: 0.0

1 If p is small, e.g. less than 0.01, or 0.001, you can assume the result is statistically significant i.e. there is a relationship. Note: a statistically significant difference may not necessarily be of any practical significance.

Interpreting the Proportions chart – look at the “All combined” category – the more different the other Age Group categories look from this the more likely the Chi Square test will detect a difference. Within each Age Group category the Country values add up to 1 i.e. 100%. This is not the same way of displaying data as a clustered bar chart although the similarity can be confusing.

  

From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:18 PM

All data in table included – no filtering

  

Freq

Col %

18

18.0%

14

14.0%

2

2.0%

2

2.0%

Age

21.0

 20

20.0%

22.0

 18

18.0%

23.0

24.0

 14

1

4.0%

25.0
26.0 6 6.0%
27.0 2

2.0%

28.0

29.0

30.0

 4 4.0%

From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM

All data in table included – no filtering

  

Freq

Col %

Age

21.0

20

20.0%

22.0

18

18.0%

23.0

18

18.0%

24.0

14

14.0%

25.0

14

14.0%

26.0

6

6.0%

27.0

2

2.0%

28.0

2

2.0%

29.0

2

2.0%

30.0

4

4.0%

From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included – no filtering

  

Freq

Col %

Age

21.0

20

20.0%

22.0

18

18.0%

23.0

18

18.0%

24.0

14

14.0%

25.0

14

14.0%

26.0

6

6.0%

27.0

2

2.0%

28.0

2

2.0%

29.0

2

2.0%

30.0

4

4.0%

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