A Study on “QUALITY OF WORK LIFE OF EMPLOYEES” At STEEL AUTHORITY OF INDIA LIMTED,

SALEM STEEL PLANT [SSP] USING SAS

By Monica GS

Importing two different data and merging

Proc import datafile="E:\trim 5\James Sir - SAP\Sail\QWL1.xls"out=work.QWL1;run;

Proc import datafile="E:\trim 5\James Sir - SAP\Sail\QWL2.xls"out=work.QWL2;run;

Proc sql;create table work.model asselect *from work.QWL1, work.QWL2where QWL1.CATEGORY=QWL2.CATEGORYorder by QWL1.SLNO;quit;

File 1

File 2

The FREQ Procedure

CATEGORY

CATEGORY Frequency PercentCumulativeFrequency

CumulativePercent

1 28 35.44 28 35.44

2 51 64.56 79 100.00

proc freq data = work.model;tables CATEGORY;run;

frequency

proc means data =work.model;var WELFARE INDUSTRIALRELATIONSHIP EMPLOYEECOMPENSATION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY;run;

he MEANS Procedure

Variable Label N Mean Std Dev Minimum Maximum

WELFAREINDUSTRIALRELATIONSHIPEMPLOYEECOMPENSATIONEMPLOYEEMOTIVATIONCAREERDEVELOPMENTHRPSAFETY

WELFAREINDUSTRIALRELATIONSHIPEMPLOYEECOMPENSATIONEMPLOYEEMOTIVATIONCAREERDEVELOPMENTHRPSAFETY

79797979797979

3.92405063.46835443.67088613.48101273.84810133.74683544.0506329

0.61544550.79800140.63491410.73136260.71769950.66925820.7662552

3.00000002.00000002.00000002.00000003.00000002.00000003.0000000

5.00000005.00000005.00000005.00000005.00000005.00000005.0000000

DESCRIPTIVE STATISTICS

proc freq data =work.model;tables WELFARE * CATEGORY/chisq;run;proc freq data =work.model;tables INDUSTRIALRELATIONSHIP * CATEGORY/chisq;run;proc freq data =work.model;tables EMPLOYEECOMPENSATION * CATEGORY/chisq;run;proc freq data =work.model;tables EMPLOYEEMOTIVATION * CATEGORY/chisq;run;proc freq data =work.model;tables CAREERDEVELOPMENT * CATEGORY/chisq;run;proc freq data =work.model;tables HRP * CATEGORY/chisq;run;proc freq data =work.model;tables SAFETY * CATEGORY/chisq;run;

Chisq

Table of CAREERDEVELOPMENT by CATEGORY

CAREERDEVELOPMENT(CAREERDEVELOP

MENT)

CATEGORY(CATEGORY)

Total1 2

3 1215.1944.4442.86

1518.9955.5629.41

2734.18

  

4 1012.6627.0335.71

2734.1872.9752.94

3746.84

  

5 67.5940.0021.43

911.3960.0017.65

1518.99

  

Total 2835.44

5164.56

79100.00

Statistic DF Value Prob

Chi-Square 2 2.2376 0.3267

Likelihood Ratio Chi-Square

2 2.2558 0.3237

Mantel-Haenszel Chi-Square

1 0.3277 0.5670

Phi Coefficient   0.1683  

Contingency Coefficient

  0.1660  

Cramer's V   0.1683

proc corr data =work.model;var WELFARE INDUSTRIALRELATIONSHIP EMPLOYEECOMPENSATION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY;run;proc reg data =work.model;model CATEGORY = WELFARE INDUSTRIALRELATIONSHIP EMPLOYEECOMPENSATION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY;run;proc anova data =work.model;class CATEGORY;model WELFARE INDUSTRIALRELATIONSHIP EMPLOYEECOMPENSATION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY = CATEGORY;run;

Correlation/regression/anova

Correlation OutputPearson Correlation Coefficients, N = 79

Prob > |r| under H0: Rho=0

WELFAREINDUSTRIALRELATION

SHIPEMPLOYEECOMPENSAT

ION EMPLOYEEMOTIVATION CAREERDEVELOPMENT HRP SAFETY

WELFAREWELFARE

1.00000 

0.54323<.0001

0.296120.0081

0.45248<.0001

0.321850.0038

0.54411<.0001

0.416050.0001

INDUSTRIALRELATIONSHIPINDUSTRIALRELATIONSHIP

0.54323<.0001

1.00000 

0.56117<.0001

0.64149<.0001

0.43920<.0001

0.58494<.0001

0.380050.0006

EMPLOYEECOMPENSATIONEMPLOYEECOMPENSATION

0.296120.0081

0.56117<.0001

1.00000 

0.53856<.0001

0.50786<.0001

0.374660.0007

0.45633<.0001

EMPLOYEEMOTIVATIONEMPLOYEEMOTIVATION

0.45248<.0001

0.64149<.0001

0.53856<.0001

1.00000 

0.67833<.0001

0.64487<.0001

0.57366<.0001

CAREERDEVELOPMENTCAREERDEVELOPMENT

0.321850.0038

0.43920<.0001

0.50786<.0001

0.67833<.0001

1.00000 

0.66627<.0001

0.64360<.0001

HRPHRP

0.54411<.0001

0.58494<.0001

0.374660.0007

0.64487<.0001

0.66627<.0001

1.00000 

0.60031<.0001

SAFETYSAFETY

0.416050.0001

0.380050.0006

0.45633<.0001

Regression Output

ANOVA Output

Source DFSum of

SquaresMean

Square F Value Pr > F

Model 1 1.50466262

1.50466262

3.87 0.0528

Error 77 29.93837535

0.38881007

   

Corrected Total

78 31.44303797

     

R-Square Coeff Var Root MSE

EMPLOYEECOMPENSATION

Mean

0.047854 16.98626 0.623546 3.670886

Source DF Anova SSMean

Square F Value Pr > F

CATEGORY

1 1.50466262

1.50466262

3.87 0.0528

Webpage and PDF Coding

ods pdf file= 'E:\trim 5\James Sir - SAP\Sail\Sas assignment.pdf';startpage = 1;ods pdf text = "SAS ASSIGNMENT-13MBA1042";ods pdf close;run;quit;

ods html file= 'E:\trim 5\James Sir - SAP\Sail\Sas assignment.html';:::::::::::::::::::::::::::

ods html close;run;quit;

Thank you