Healthcare Study

Healthcare Study

Introduction

Teen pregnancy has always been the major concern for the US society since the last few decades. Many studies have been done on crimes to gather information of different factors that are responsible for the increase in the teen pregnancy. People always appreciates a society without shameful acts like this but it should be considered that there are some major factors which affects the society and have immense relationships with increasing rate of teen pregnancy in the society. In this study, a data set of 50 states of US has been gathered and almost 5 different crime factors have been noticed and their data is also available. The factors which we think are responsible for increasing teen pregnancy are PINCOME (Per capita income of each state), DROPOUT (High school droop out rate, UNEMPLOY (Percentage of unemployed workers), URBAN (Percentage of the residents living in the urban areas). The Numeric data for crime is taken as property crimes per hundred thousand inhabitants in US (property crimes include burglary, larceny, theft and motor vehicle thefts).

Discussion and analysis

Descriptive Statistics

PREGNANCY

PINCOME

DROPOUT

UNEMPLOY

URBAN

Mean

4.5592E3

1.5442E4

24.0760

5.4880

66.8440

Median

4.3658E3

1.5083E4

23.7000

5.2500

67.1000

Mode

5705.70

1.10E4a

15.50a

5.80

64.20a

Std. Deviation

1.23194E3

2.77840E3

7.03970

1.90912

1.45669E1

Variance

1.518E6

7.720E6

49.557

3.645

212.196

Range

5712.50

11769.00

27.10

8.50

57.50

Minimum

2107.40

10992.00

11.30

2.40

33.80

Maximum

7819.90

22761.00

38.40

10.90

91.30

Percentiles

25

3.7902E3

1.2753E4

18.8500

3.9000

54.0750

50

4.3658E3

1.5083E4

23.7000

5.2500

67.1000

75

5.3373E3

1.7034E4

30.1250

6.7250

80.3750

a. Multiple modes exist. The smallest value is shown

The mean, SD and quartiles etc have been discussed above to analyze the data and can found significant differences if exists between the variables. Maximum and minimum values are also determined with their variation to get significant and reliable results. The significance level that we have are assuming is .05 i.e. acceptance or significance of the coefficients only exists when the level of significance is less than .05 or another way is to analyze it through t-statistics where the thumb rule shows the coefficient's significance where the t-value greater then 2(in absolute terms) is found to be significant. For e.g. the significance PINCOME is .814 which is very large than our hypothesis that our is ...