sas project work
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This document summarizes a study on the market share and reach of Tata Shaktee GC sheets in Jharkhand, India. The study uses both primary and secondary data collected over 7-8 weeks from Tata Shaktee dealers in different districts of Jharkhand. It provides background on Tata Steel, describes the use of statistical analyses including frequency tables, means, t-tests, correlation, and regression to analyze the relationship between years in business and tonnes sold. The regression analysis finds a statistically significant relationship between tonnes sold and years in business.
sas project work
- 1. your name SAS Project Under The Guidance of Prof James Daniel Paul Avinash.D
- 2. your name 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).
- 3. your name 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.
- 4. your name Frequency table: 1. Proc freq data=work.merged; Tables yearsinbusiness; Run; 2. Proc freq data=work.merged; Tables tonnessold; Run;
- 5. your name Mean Proc means data=work.merged; Var yearsinbusiness tonnessold; Run;
- 6. your name T-Test Proc ttest data=work.merged; Var tonnessold; Run;
- 7. your name Correlation: Proc corr data= work.merged; var tonnessold yearsinbusiness; Run;
- 8. your name Regression Proc reg data= work.merged; Model tonnessold=yearsinbusiness; Run;
- 9. your name 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.