Assignment Paper

Question 1. The managing director of Uber Middle East FZ LLC, is to identify the effectiveness of Uber among residents and tourists in Dubai. Based on pilot study, three important factors that may influence the effectiveness of Uber – technology use, safety and security and customer trust.

Table 1: t-Test: Two-Sample Assuming Unequal Variances
Male Female
Mean 4.11 25.92
Variance 0.56 182.41
t Stat 1.43
P(T<=t) one-tail 0.73 t Critical one-tail 2.75 P(T<=t) two-tail 0.03 t Critical 1.02 a) What is null and alternate hypothesis is being tested in Table 1? 1) Null Hypothesis ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 2) Alternate Hypothesis _______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ b) Use a significance level of 0.01 to test your hypothesis. 1) Results ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 2) Interpretation of results ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ Question 2. The company also studied the impact of each variable to the effectiveness of the Uber. Below the results of the regression analysis. Table 2: Multiple Linear Regression Regression Statistics Multiple R 0.94 R Square 0.89 Observations 272.00 ANOVA df SS MS F Significance F Regression 3 2.75 0.92 15.49 0.00013 Residual 268 0.35 0.05 Total 271 3.10 Coefficients Standard Error t Stat P-value Intercept 0.35 0.53 -1.2 0.540 Technology Use 0.25 0.09 4.5 0.005 Safety and Security 0.13 0.14 0.2 0.382 Customer Trust 0.46 0.12 -3.1 0.009 a) Based on Table 2, write the regression equation (1 points). ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ b) What would be your managerial recommendation ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ Question 3. A leading research firm interviewed with Starbuck Café top management to inquire about the restaurant’s success. The performance of Starbuck Café was based on the management commitment, effective training of their crews and stakeholder pressure. The research firm has collected data from 300 Starbuck Café employees in Al Ain, Abu Dhabi and Dubai. a) The table below summarizes the results of one of the bivariate techniques used in this study: Table 3: Correlation Analysis Starbuck Performance Management Commitment Effective Training Stakeholder Pressure Starbuck Performance 1.00 Management Commitment 0.64 1.00 Effective Training -0.82 0.03 1.00 Stakeholder Pressure 0.78 0.01 0.40 1.00 Comment on the significant correlation and which variable appear to be related to each other? ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ b) ANOVA was used to assess whether any differences in the three branches of Starbuck Café: Table 4: ANOVA: Single Factor (Alpha 0.05) Groups Count Sum Average Variance Al Ain 100 175.9 3.51 0.23 Abu Dhabi 100 179.6 3.59 0.15 Dubai 100 174.9 3.49 0.20 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 0.25 2 0.125 7.449 0.009 3.05 Within Groups 40.97 147 0.278 Total 41.22 149 State the hypothesis, and interpret the results of the test? 1) Null Hypothesis ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________2) Alternate Hypothesis ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 3) Result ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________4) Interpretation ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ c) Why have the researchers not used t-test for the test above? ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ To test the influence of the three independent variables, multiple linear regression was conducted: Table 5: Multiple Linear Regression (Alpha = 0.05) Regression Statistics Multiple R 0.77 R Square 0.55 Adjusted R Square 0.73 Observations 150.00 ANOVA df SS MS F Significance F Regression 2 1.87 0.92 4.23 0.004 Residual 147 39.3 0.26 Total 149 41.2 Coefficients Standard Error t Stat P-value Intercept 4.75 9.19 8.58 0.0002 Management Commitment 3.28 2.77 1.16 0.0210 Effective Training 2.45 3.50 0.17 0.0010 Stakeholder Pressure -1.47 4.54 -0.36 0.1303 d) Use Table 3 to develop and interpret the regression equation ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ e) Comment on the quality of the model ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ Question 4. Abu Dhabi Education Council (ADEC) is conducting a study towards bullying in private school. Previous study showed that among the reasons of the increase bullying in school due to lack of children discipline, family influence and school incompetence. The bullying involved both boys and girls Table 6: t-Test: Two-Sample Assuming Unequal Variances Boys Girls Mean 4.11 3.31 Variance 0.56 0.69 t Stat 4.43 P(T<=t) one-tail 0.00 t Critical one-tail 1.66 P(T<=t) two-tail 0.03 t Critical 1.99 a) What is null and alternate hypothesis is being tested in Table 1? 1) Null Hypothesis ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 2) Alternate Hypothesis ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ b) Use a significance level of 0.10 to test your hypothesis 1) Results ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 2) Interpretation ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ ________________________________________________________________________________________________________________________________ Table 7: Multiple Linear Regression Regression Statistics Multiple R 0.87 R Square 0.56 Adjusted R Square 0.75 Observations 72.00 ANOVA df SS MS F Significance F Regression 3 2.75 0.92 15.49 0.00013 Residual 268 0.35 0.05 Total 271 3.10 Coefficients Standard Error t Stat P-value Intercept 0.35 0.53 -1.2 0.01 Children Discipline 0.25 0.09 4.5 0.00 Family Influence 0.13 0.14 0.2 0.15 Incompetence School 0.46 0.12 -3.1 0.02 d) Based on Table 7, write the equation of your regression model ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ e) Interpret your findings ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ b) A t-test was used to assess whether factors related to turnover intention differed with respect to gender. Analyse the data from table 5 Table 8: t-Test: Two-Sample Assuming Unequal Variances (Alpha 0.05) Male Female Mean 3.48 3.98 t Stat 2.77 P(T<=t) one-tail 0.00 t Critical one-tail 1.66 P(T<=t) two-tail 0.01 t Critical two-tail 2.08 State the hypothesis, and interpret the results of the test from Table 2 1) Null Hypothesis ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 2) Alternate Hypothesis ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 3) Result ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ 4) Inference ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ c) Why have the researchers not used ANOVA for the test above? ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ To test the influence of the three independent variables, multiple linear regression was conducted: Table 9: Multiple Linear Regression (Alpha = 0.05) Regression Statistics Multiple R 0.98 R Square 0.46 Adjusted R Square 0.58 Standard Error 0.85 Observations 150.00 ANOVA df SS MS F Significance F Regression 13.00 12.34 4.11 337.35 0.13 Residual 146.00 0.56 0.01 Total 149.00 12.90 Coefficients Standard Error t Stat P-value Intercept 1.91 0.07 28.58 0.23 Job Crafting 0.63 0.04 17.16 0.00 Job Satisfaction -0.21 0.02 0.17 0.07 Career Adaptability -0.01 0.02 -0.36 0.82 d) Use Table 3 to develop and interpret the regression equation ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ e) Comment on the quality of the model ________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________