Statistical Data Analysis: Hypertension, Low Birth Weight, and Smoking

This assignment presents a comprehensive statistical data analysis, focusing on hypertension prevalence across different age groups and genders, utilizing percentage calculations and a bar chart for visualization. It further delves into descriptive statistics, correlation analysis, and a t-test to explore the relationship between low birth weight in babies and smoking habits of mothers. The analysis includes statistical outputs, such as means, standard deviations, and correlation coefficients, providing insights into the data. The assignment also references an online SPSS tutorial, suggesting the use of statistical software for data processing and analysis. The findings are presented with the use of tables and figures to enhance understanding of the statistical relationships. The assignment covers key statistical concepts, including descriptive statistics, correlation, and t-tests, offering a practical application of these methods in a health-related context.

STATISTICAL DATA
ANALYSIS

TABLE OF CONTENTS
PART 1............................................................................................................................................1
Question 1....................................................................................................................................1
1.a Calculating the percentage of examined hypertension in each age group in gender-specific
.....................................................................................................................................................1
1.b. Bar chart................................................................................................................................1
Question 2....................................................................................................................................1
2.a Descriptive statistics:.............................................................................................................1
2.b Correlation and T-test of babies having low birth weight with smoking and non-smoking
mothers........................................................................................................................................2
Question 3....................................................................................................................................3
3.a.................................................................................................................................................3
3.b................................................................................................................................................4
3.c.................................................................................................................................................4
REFERENCES................................................................................................................................5

PART 1
Question 1
1.a Calculating the percentage of examined hypertension in each age group in gender-specific
Age
Men Women
number
examined
number with
hypertension
Percentage
of people
with
hypertension
Number
examined
Number with
hypertension
Percentage
of people
with
hypertension
Under
35 1320 62 5% 571 14 2%
34-44 455 64 14% 96 17 18%
45-54 418 105 25% 122 30 25%
55-64 297 96 32% 76 27 36%
Total 2490 327 13% 865 88 10%
1.b. Bar chart
Question 2
2.a Descriptive statistics:
Descriptive Statistics
N Range Minimum Maximum Mean Std. Deviation Variance
Bweight 150 4384 1179 5563 3371.30 879.600 773695.406
1

Valid N (listwise) 150
Histogram:
2.b Correlation and T-test of babies having low birth weight with smoking and non-smoking
mothers
Descriptive Statistics
Mean Std. Deviation N
Smoke 1.74 .447 27
Bweight 2108.52 355.424 27
2

Correlations
Smoke Bweight
Smoke
Pearson Correlation 1 -.049
Sig. (2-tailed) .808
N 27 27
Bweight
Pearson Correlation -.049 1
Sig. (2-tailed) .808
N 27 27
T-test:
One-Sample Statistics
N Mean Std. Deviation Std. Error Mean
Smoke 27 1.74 .447 .086
Bweight 27 2108.52 355.424 68.401
One-Sample Test
Test Value = 0
t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the
Difference
Lower Upper
Smoke 20.254 26 .000 1.741 1.56 1.92
Bweight 30.826 26 .000 2108.519 1967.92 2249.12
Question 3
3.a
Case Processing Summary
Cases
Included Excluded Total
N Percent N Percent N Percent
depression * lost 3900 100.0% 0 0.0% 3900 100.0%
3

Report
depression
lost Mean N Std. Deviation Variance Geometric Mean % of Total Sum % of Total N
0 .14 3346 .349 .122 .00 100.0% 85.8%
1 .00 554 .000 .000 .00 0.0% 14.2%
Total .12 3900 .327 .107 .00 100.0% 100.0%
ANOVA Tablea
Sum of Squares df Mean Square F Sig.
depression * lost
Between Groups (Combined) 9.538 1 9.538 91.386 .000
Within Groups 406.852 3898 .104
Total 416.391 3899
a. With fewer than three groups, linearity measures for depression * lost cannot be computed.
Measures of Association
Eta Eta Squared
depression * lost .151 .023
3.b
Enclosed in SPSS files (SPSS Time Variables Tutorial, 2018)
3.c
Enclosed in SPSS files
4

REFERENCES
Online
SPSS Time Variables Tutorial. 2018. [Online]. Available through :< https://www.spss-
tutorials.com/spss-time-variables-tutorial/>.
5