SAS codes are applied on the data of TATA Shakti and interpretation is done

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SAS Project
Under The Guidance of
Prof James Daniel Paul
Avinash.D

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TO STUDY THE SHARE OF BUSINESS AND REACH OF
TATA
SHAKTEE GC SHEETS IN JHARKHAND
• Study based on primary data and secondary data both.
• Study covers only the different districts of Jharkhand.
• Authenticity of primary data depends on the how dealer
response.
• Study mostly covered Tata Shaktee dealers.
• Duration of study period is limited (i.e. 7 to 8 weeks).

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COMPANY PROFILE:
• Tata Steel was established in 1907, as a
materialisation of its Founder's dream of a prosperous
and independent India. Jamsetji Nusserwanji Tata's
vision helped Tata Steel to overcome several periods
of adversity and strive to improve against all odds.
Completing hundred years in 2007, the Company
continues on its journey of growth and globalisation
through organic and inorganic strategies. Driven as
much by its commitment to society as by its
performance and profits the Tata Steel Vision today
aspires to make the Group the global steel industry
benchmark for both value creation and corporate
citizenship.

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Frequency table:
1. Proc freq data=work.merged;
Tables yearsinbusiness;
Run;
2. Proc freq data=work.merged;
Tables tonnessold;
Run;

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Mean
Proc means data=work.merged;
Var yearsinbusiness tonnessold;
Run;

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T-Test
Proc ttest data=work.merged;
Var tonnessold;
Run;

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Correlation:
Proc corr data= work.merged;
var tonnessold yearsinbusiness;
Run;

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Regression
Proc reg data= work.merged;
Model tonnessold=yearsinbusiness;
Run;

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Interpretation
• Dependent Variable: Tonnes Sold
• Independent Variable: Years in Business.
• Ho = There is no statically significance between Tonnes Sold and
independent variables.
• H1 = There is statistically significance between Tonnes Sold and
mentioned independent variables.
• From the above table, it can be inferred that Tonnes sold meet is
statistically significant with years in business. Thus (F=0.21,
p=0.000) Where the p value is less than 0.05 which is statistically
significant and dependent variable can be predicted with
independent variables.
• In this case the Null hypothesis is rejected.