Bio Statistics Report: Demographics, Aggression, Risk Factors and RTAs

This report presents a comprehensive bio statistical analysis, beginning with descriptive statistics of demographic information including age, gender, and fee status, and frequency distributions of age categories. The study investigates the mean values for aggression, thrill-seeking, and risk acceptance across various demographics, including gender, metro status, study mode, and history of road traffic accidents (RTAs). Binary logistic regression is employed to examine the differences in depression levels among different demographic groups. Furthermore, the report utilizes binary logistic regression to predict the impact of various factors on the likelihood of experiencing at least one RTA and assesses the influence of demographic and risk factors on obesity. The findings include mean values, standard deviations, and odds ratios, with interpretations provided to elucidate the relationships between these variables. Overall, the analysis aims to provide insights into the correlations between demographic characteristics, risk behaviors, and health outcomes.

Bio statistics manuscript
TASK 1
1

TABLE OF CONTENTS
1....................................................................................................................................................................................................................2
a. Mean, standard deviation, minimum and maximum values for age ...................................................................................................2
b. Frequency (% and number) of students in each of new age categories...............................................................................................2
2. ..................................................................................................................................................................................................................3
Descriptive statistics for demographic information ................................................................................................................................3
3....................................................................................................................................................................................................................3
Mean for aggression, thrill seeking and risk acceptance differing from various demographics.............................................................3
4....................................................................................................................................................................................................................9
In terms of depression is there difference among depressed and not depressed group in accordance with following............................9
5..................................................................................................................................................................................................................10
RTA once crash as dependent variable performing binary logistic regression.....................................................................................10
6..................................................................................................................................................................................................................20
Obesity as dependent variable performing binary logistic regression ..................................................................................................20
2

1.
a. Mean, standard deviation, minimum and maximum values for age
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
AGE 38681 16 59 20.50 4.889
Valid N (listwise) 38681
b. Frequency (% and number) of students in each of new age categories
Statistics
newage
N Valid 32796
Missing 5885
newage
Frequency Percent Valid Percent Cumul
ative
Perce
nt
Valid
.00 11881 30.7 36.2 36.2
1.00 11666 30.2 35.6 71.8
2.00 5494 14.2 16.8 88.6
3.00 3755 9.7 11.4 100.0
Total 32796 84.8 100.0
3

Missing System 5885 15.2
Total 38681 100.0
2.
Descriptive statistics for demographic information
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
cohort 38681 1.00 8.00 5.0695 2.25016
STATE 38681 1.00 4.00 1.8736 .87565
AGE 38681 16 59 20.50 4.889
GENDER 38681 .00 1.00 .7299 .44403
LIVING_ARRANGE 38681 .00 2.00 .7454 .87069
FACULTY 38681 1.00 5.00 2.2809 1.02867
DEGREE_TYPE 38681 .00 1.00 .1050 .30654
METRO 32238 .00 1.00 .1556 .36244
STUDY_MODE 38681 .00 1.00 .1011 .30148
FEE_STATUS 38681 .00 1.00 .1666 .37259
Valid N (listwise) 32238
Interpretation: The above table reflects the descriptive statistics of the demographic information. This is comprised of mean,
minimum, maximum as well as standard deviation. It has been gained that mean of gender is .7299. Along with this its standard
deviation is 0.44. On the other hand the mean value of fee status is 0.1011. Further its minimum value is 0 and maximum value is 1.
However its standard deviation is 0.37
4

3.
Mean for aggression, thrill seeking and risk acceptance differing from various demographics
a. Gender
Group Statistics
GENDER N Mean Std. Deviation Std. Error Mean
driver_agg Male 10449 7.53 2.639 .026
Female 28232 7.54 2.630 .016
thrill Male 10449 3.76 1.879 .018
Female 28232 3.77 1.872 .011
risk_accep Male 10449 8.26 4.488 .044
Female 28232 8.28 4.464 .027
Independen
t Samples
Test
5

Levene's Test for Equality
of Variances
t
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F Sig. t df Sig. (2-
tailed)
Mean
Difference
Std. Error
Difference
95% Confidence Interval of
the Difference
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Lower Upper
driver_agg
Equal variances
assumed .875 .349 -.494 38679 .621 -.015 .030 -.074 .044
Equal variances
not assumed -.493 18606.923 .622 -.015 .030 -.074 .044
thrill
Equal variances
assumed .897 .344 -.596 38679 .551 -.013 .021 -.055 .029
Equal variances
not assumed -.595 18605.862 .552 -.013 .021 -.055 .029
risk_accep
Equal variances
assumed .922 .337 -.302 38679 .763 -.015 .051 -.116 .085
Equal variances
not assumed -.301 18577.641 .763 -.015 .051 -.116 .085
H0: There is no significant means difference between aggression, thrill seeking and risk acceptance as well as gender
H1: There is significant means difference between aggression, thrill seeking and risk acceptance as well as gender
Interpretation: The table above reflects the determines the difference among the mean for behavior and various demographic factors.
In this regard independent sample T test is being used that allows in determining whether the two sample means are different from one
another on significant basis. From the above table it can be interpreted that in all the cases the significance value is above 0.05. This
implies that H0 is accepted. This implies that there is no significant mean difference between aggression, thrill seeking and risk
acceptance as well as gender.
b. Metropolitan background status
7

Group Statistics
METRO N Mean Std. Deviation Std. Error Mean
driver_agg Metro 27223 7.54 2.629 .016
Non-metro 5015 7.55 2.639 .037
thrill Metro 27223 3.77 1.871 .011
Non-metro 5015 3.79 1.880 .027
risk_accep Metro 27223 8.24 4.477 .027
Non-metro 5015 8.42 4.450 .063
Independen
t Samples
Test
Levene's
Test for
Equality of
Variances
t-test for
Equality of
Means
F S
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g
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t d
f
Sig. (2-tailed) Mean
Difference
Std. Error
Difference
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n
c
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Lower U
p
p
e
r
driver_agg
Equal variances
assumed .164 .68
5 -.174 32236 .862 -.007 .040 -.086 .072
Equal variances not
assumed -.174 6972.542 .862 -.007 .041 -.086 .072
thrill
Equal variances
assumed .330 .56
6 -.529 32236 .597 -.015 .029 -.072 .041
Equal variances not
assumed -.527 6967.182 .598 -.015 .029 -.072 .041
risk_accep
Equal variances
assumed .164 .68
5 -2.487 32236 .013 -.171 .069 -.306 -.036
Equal variances not
assumed -2.497 7012.727 .013 -.171 .068 -.305 -.037
H0: There is no significant means difference between aggression, thrill seeking and risk acceptance as well as Metropolitan
background status
H1: There is significant means difference between aggression, thrill seeking and risk acceptance as well as Metropolitan background
status
10

Interpretation: From the above table it can be interpreted that in cases of aggression and thrill seeking significance value is above
0.05. This implies that H0 is accepted. This implies that there is no significant mean difference between aggression, thrill seeking and
risk acceptance as well as Metropolitan background status. However in case of of risk acceptance the value of significant is 0.013 that
is less than 0.05. Thus in this case alternative hypothesis will be selected. This reflects that there is presence of significant means
difference between aggression, thrill seeking and risk acceptance as well as Metropolitan background status.
c. Study mode
Group Statistics
STUDY_MODE N Mean Std. Deviation Std. Error Mean
driver_agg FT 34770 7.54 2.632 .014
PT 3911 7.55 2.635 .042
thrill FT 34770 3.77 1.873 .010
PT 3911 3.78 1.880 .030
risk_accep FT 34770 8.29 4.475 .024
PT 3911 8.19 4.433 .071
Independen
t Samples
Test
11

Levene's Test for Equality
of Variances
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F S
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Sig. (2-tailed) Mean
Difference
Std. Error
Difference
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