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Sales Hypothesise

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  1. 1. Group-5 Section-A { Ashok Kumar Injo Navish Kaushal Tripathi Sunny Goyal Tanu Thakran Vijay Mor
  2. 2. Research framework Research problem - Factor affecting sales target Research question - Why sales targets are not achieved in telecom industry? Data collection method - Questionnaire method Dependent variable - Sales target Independent variables:- General mental ability Job satisfaction Effort Sales experience. Research hypothesis - Further Explained
  3. 3. Job satisfaction is positively related to salesperson performance. Correlations mean_job_sati sfaction Sales Target Sales Target mean_job_satisfaction Pearson Correlation 1 -.479** -.222** Sig. (2-tailed) .000 .001 N 235 234 235 Sales Target Pearson Correlation -.479** 1 .458** Sig. (2-tailed) .000 .000 N 234 234 234 Sales Target Pearson Correlation -.222** .458** 1 Sig. (2-tailed) .001 .000 N 235 234 235 **. Correlation is significant at the 0.01 level (2-tailed). Ho: Accepted
  4. 4. Sales man with high job satisfaction have high GMA Independent Samples Test Levenes Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of Sig. (2- Mean Std. Error the Difference F Sig. t df tailed) Difference Difference Lower Uppermean_job_satisfacti Equal variances 1.424 .234 -10.879 220 .000 -.95841 .08810 -1.13204 -.78478on assumed Equal variances not -10.450 117.115 .000 -.95841 .09172 -1.14005 -.77677 assumed  Ha: Accepted
  5. 5. With increase in salary job satisfaction increases. ANOVA mean_job_satisfaction Sum of Squares df Mean Square F Sig. Between Groups (Combined) 19.089 4 4.772 9.714 .000 Linear Term Unweighted 14.066 1 14.066 28.629 .000 Weighted 13.441 1 13.441 27.357 .000 Deviation 5.649 3 1.883 3.833 .010 Within Groups 113.000 230 .491 Total 132.089 234  Ha : Accepted
  6. 6. Person with high GMA have hightendency to achieve sales target easily. Chi-Square Tests Asymp. Sig. (2- Value df sided) a Pearson Chi-Square 59.183 16 .000 Likelihood Ratio 58.726 16 .000 Linear-by-Linear 22.593 1 .000 Association N of Valid Cases 233 a. 12 cells (48.0%) have expected count less than 5. The minimum expected count is .04.  Ho : Accepted
  7. 7. Job satisfaction can be achieved by putting high efforts. b ANOVA Model Sum of Squares df Mean Square F Sig. a 1 Regression 68.881 2 34.441 126.413 .000 Residual 63.207 232 .272 Total 132.089 234 a. Predictors: (Constant), Effort, Effort b. Dependent Variable: mean_job_satisfaction Ha : Accepted b Model Summary Change Statistics Adjusted R Std. Error of the R SquareModel R R Square Square Estimate Change F Change df1 df2 Sig. F Change a1 .722 .521 .517 .52196 .521 126.413 2 232 .000a. Predictors: (Constant), Effort, Effortb. Dependent Variable: mean_job_satisfaction
  8. 8. Thank you
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