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Salesforce Acquire Tableau Software Case Solution & Answer

Salesforce Acquire Tableau Software Case Solution

Sales force (CRM) Acquire Tableau Software at 1st August 2019

The case I have picked is based on the Tableau Software’s acquisition by Salesforce at 1st August, 2019. My purpose behind conducting the analysis is to identify the impact of the acquisition over the index and the relationship of the Salesforce shares price with the index price, before and after the acquisition. For this purpose, I have used the regression analysis (simple and multiple regression analysis) before the acquisition, after the acquisition and the hybrid one.

First of all, I have used the ANOVA analysis to check the difference between the means of the Salesforce stock prices and the Index prices, to find out if there is any difference existing or not. By using the t test; it has been identified that I have not found the statistical evidences to reject the null hypothesis, which concludes that the mean difference between the Salesforce stock prices and Index prices is zero. The critical t value is 1.653, which is higher than the value of the t statistics 1.457, indicating that the t statistics value does not fall under the critical region, so, there is not any statistical evidence to reject the null hypothesis, hence it is accepted. The values are shown in the Exhibit 1 of the document

Furthermore, I have sorted the data into two categories or should I say in two groups. The first group is based on the Salesforce stock prices data at the start of the month, while the second group is based on the Salesforce stock prices data at the end of the month. For this purpose, I have used the ANOVA analysis to check the difference between the means of the start of the month Salesforce stock prices and the index prices, to know if there exists any difference exist or not, and another ANOVA is used to check the difference between the means of the end of the month Salesforce stock prices and the Index prices, to identify if there is any difference or not.

By using the t test; it has been identified that I have not found the statistical evidences to reject the null hypothesis, which concludes that the mean difference between the start of the Salesforce stock prices and Index prices is zero. The critical t value is 1.963, which is higher than the value of the t statistics – 0.709, indicating that the t statistics value does not fall under the critical region.So, there is not any statistical evidence to reject the null hypothesis, hence it is accepted.

Again, after using the t test it I have not found any statistical evidences to reject the null hypothesis which concludes that the mean difference between the end of the Salesforce stock prices and Index prices is zero. The critical t value is 1.963, which is higher than the value of the t statistics – 0.0013, indicating that the t statistics value does not fall under the critical region.So, there is not any statistical evidence to reject the null hypothesis, hence it is accepted. The values are shown in Exhibit 2 of the document…………………..

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