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SAS ProjectUnder 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.