QUANTITATIVE DATA ACTIVITY

Quantitative Data Activity



Quantitative Data Activity

Part A: Quantitative data analysis and interpretation

Part 1



Table 1: Descriptive Statistics

 

AGE

BECK

IVHX

NDRUGTX

RACE

TREAT

SITE

DFREE

Mean

32.510204

19.0967

2.449

4.5102040

0.1632

0.6122

0

0.2244

Median

32

18.9

3

3

0

1

0

0

Mode

36

20

3

1

0

1

0

0

Standard Deviation

5.63516

9.8485

0.843

5.470079

0.373

0.4922

0

0.4215

Sample Variance

31.7504

96.919

0.714

29.92171

0.139

0.2434

0

0.1772

Range

22

38.9

2

34

1

1

0

1

Number of patients who had more than 10 episodes of previous drug treatment at admission who were randomized to the long treatment program = 29

Total number of respondents = 48

Percentage of patients who had more than 10 episodes of previous drug treatment at admission who were randomized to the long treatment program = 29/ 48 *100 = 60.417%



Table 2: Number of Prior Drug Treatments

Range

Frequency

0--10

46

11--20

1

21--30

0

31--40

1

The frequency table shows that majority patients of Prior Drug Treatments significantly lies in the initial levels from 0 - 10 and the rest of the patients have significantly high ratio i.e. a patient has a prior drug level 15 and similarly one patient has the highest drug level of 34 which is significantly higher than the remaining patients. Similarly, the mean age of the patients found to be M = 32 years, SD = 5 ~ 6 which shows that the 95% of the patients have their age lie between 27 - 37 years. The mean Beck depression scores (BECK) found to be M = 19.0967, SD = 9.48 which is considerably high for such a small range of beck depression scores.

RACE and TREAT are nominal/ordinal variables, so the mean and standard deviations are not reliable tools as they are discrete variables. So, modal value is the most appropriate tool for determining the central tendency and descriptive analysis for the variables. Modal values show that majority of the patients are White and similarly majority of the respondents have long treatment programs.

Part 2

Table 3 shows that there is a fair amount of association between the males and females in the treatment and controlled group as [OR = 0.63:1]. It further determines that the females are 0.63 times affected through the treatment group. Similarly, the odds ratio for age group is found to be [OR 0.77:1] for the age group between 25 - 34 years i.e. 0.77 times this particular age group is affected by the treatment applied with p < 0.025 which is significant at 5% level. Further, the respondents of age 35 - 44 years has [OR 0.66: 1] which is significant at even less than 1% level i.e. the particular age group is 0.66 times affected by the treatment applied on it. Similarly, the respondents having age group 45 - 54, 55 - 64, and even 65+ have significantly affected by the treatment applied on it with p < 0.001. The odds ratios are [OR 0.62: 1], [OR 0.40: 1] and [OR 0.25: 1] respectively showing that the particular ages are 0.62 times, 0.40 times and 0.25 times affected by the treatment group. The treatment groups for 65+ and 55 - 64 years of age have slightly lesser affect on the treatment group.

The ethnic group of Black and Asian has statistically significant odds ratios i.e. [OR 0.75:1] and [OR 0.69: 1] respectively as p < ...