Statistic assignment - Final Written Project

Statistic assignment - Final Written Project

Results

For the statistical analysis of data which has been collected for the present study, software named SPSS was utilized. Apart from the analysis of descriptive statistics of the data, the three major tests using which the data was analyzed included; the t-test on the average of daily drink per month among the two genders, a chi-square test and the correlation analysis between age and number of drinks consumed by the participants of the study.

The SPSS outputs obtained after the administration of t - test on the obtained data have been mentioned below;

Independent Samples Test

Levene's Test for Equality of Variances

t-test for Equality of Means

F

Sig.

t

df

Sig. (2-tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference

Lower

Upper

AVERAGE DRINKS PER DAY IN PAST MONTH

Equal variances assumed

246.574

.000

15.433

4064

.000

.844

.055

.737

.952

Equal variances not assumed

15.396

3371.084

.000

.844

.055

.737

.952

A thorough analysis of the outputs of t-test, mentioned above, indicate that the obtained value of F is 246.574 while the obtained t - value is 15.433. Therefore, we conclude that there is a significant difference between men and women in terms of their average consumption of the daily drink per month.

Moving on, to test the assumption that people who smoke are also more likely to drink, a chi - square test was administerd on the obtained data. The outputs of this test, as obtained by the SPSS have been mentioned below;

STATUS ON ALCOHOL USE * CURRENT SMOKING CALCULATED VARIABLE Crosstabulation

CURRENT SMOKING CALCULATED VARIABLE

Total

NO

YES

STATUS ON ALCOHOL USE

No alcohol

Count

4067

587

4654

Expected Count

3976.4

677.6

4654.0

% within STATUS ON ALCOHOL USE

87.4%

12.6%

100.0%

% of Total

46.6%

6.7%

53.3%

Alcohol

Count

3392

684

4076

Expected Count

3482.6

593.4

4076.0

% within STATUS ON ALCOHOL USE

83.2%

16.8%

100.0%

% of Total

38.9%

7.8%

46.7%

Total

Count

7459

1271

8730

Expected Count

7459.0

1271.0

8730.0

% within STATUS ON ALCOHOL USE

85.4%

14.6%

100.0%

% of Total

85.4%

14.6%

100.0%

Chi-Square Tests

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

30.351a

1

.000

Continuity Correctionb

30.017

1

.000

Likelihood Ratio

30.281

1

.000

Fisher's Exact Test

.000

.000

Linear-by-Linear Association

30.348

1

.000

N of Valid Cases

8730

a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 593.42.

b. Computed only ...