Men Men Gra Tables

7/31/2019 Men Men Gra Tables

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CORRELATIONS

/VARIABLES=gravida menopause

/PRINT=TWOTAIL NOSIG

/STATISTICS DESCRIPTIVES

/MISSING=PAIRWISE.

Correlations

Notes

Output Created 12-MAY-2012 07:14:52

Comments

Input

Data

C:\Documents and

Settings\Administrator\Deskt

op\BIOSTAT\menmengra.sav

Active Dataset DataSet1

Filter

Weight Split File

N of Rows in Working Data

File100

Missing Value Handling

Definition of MissingUser-defined missing values

are treated as missing.

Cases Used

Statistics for each pair of

variables are based on all the

cases with valid data for that

pair.

Syntax

CORRELATIONS

/VARIABLES=gravida

menopause


/STATISTICS

DESCRIPTIVES

/MISSING=PAIRWISE.

ResourcesProcessor Time 00:00:00.03

Elapsed Time 00:00:00.06

[DataSet1] C:\Documents and Settings\Administrator\Desktop\BIOSTAT\menmengra.sav


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Descriptive Statistics

Mean Std. Deviation N

gravida 3.6000 2.23833 100

menopause 48.8000 4.25453 100

Correlations

gravida menopause

gravida

Pearson Correlation 1 .300**

Sig. (2-tailed) .002

N 100 100

menopause

Pearson Correlation .300**

1


N 100 100

**. Correlation is significant at the 0.01 level (2-tailed).

INTERPRETATION:

Based on the data above, there is a low correlation between the number of gravida and the

age of menopause (r=.300). At 0.01 significance level, the study had a significance of 0.002. This

indicates that there is a positive correlation between menopausal age and parity among Filipino

women aged 40 and above; As the number of gravida increases, the age of menopause also

increases.


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CORRELATIONS

/VARIABLES=menarche menopause


/STATISTICS DESCRIPTIVES

/MISSING=PAIRWISE.

CorrelationsNotes

Output Created 12-MAY-2012 07:15:44

Comments

Input

Data

C:\Documents and

Settings\Administrator\Deskt

op\BIOSTAT\menmengra.sav

Active Dataset DataSet1

Filter

Weight

Split File

N of Rows in Working Data

File100

Missing Value Handling

Definition of MissingUser-defined missing values

are treated as missing.

Cases Used

Statistics for each pair of

variables are based on all the

cases with valid data for that

pair.

Syntax

CORRELATIONS

/VARIABLES=menarche

menopause


/STATISTICS

DESCRIPTIVES

/MISSING=PAIRWISE.

ResourcesProcessor Time 00:00:00.03

Elapsed Time 00:00:00.23

[DataSet1] C:\Documents and Settings\Administrator\Desktop\BIOSTAT\menmengra.sav

Descriptive Statistics


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Mean Std. Deviation N

menarche 13.2800 1.72375 100

menopause 48.8000 4.25453 100

Correlations

menarche menopause

menarche

Pearson Correlation 1 .280**


N 100 100

menopause

Pearson Correlation .280**

1


N 100 100

**. Correlation is significant at the 0.01 level (2-tailed).

INTERPRETATION:

Based on the data above, there is a low correlation between the age of menarche and the age

of menopause (r=0.280). At 0.01 significance level, the study had a significance of 0.005. This

indicates that There is a relationship between the age of menarche to the age of menopause among

women aged 40 and above.