Data Analysis And The Business Intelligence - MyAssignmenthelp.com

Question: Discuss about the Data Analysis And The Business Intelligence. Answer: Calculation: The analysis is based on the believe of association of types of phone used (Hand-held, Hand-free and Neither) and Driver Gender (Male and Female). To test the theoretical assertion, total 17044 samples were undertaken. The two types of variables are undertaken here, where distribution of both types of variables are unknown. Therefore, we apply chi-square test for testing independence or association between these two non-parametric tests. The researcher decides the test statistic 2 for inferential statistic of non-parametric test. Driver Gender Type of phone used Hand-held Hands-free Neither Total % % % Count Male 1.3 0.4 98.3 10068 Female 0.5 0.4 99.1 6976 We consider the hypotheses at pre-assigned level. Null Hypothesis (H0): There is no association between types of phone used and gender of driver. Alternative Hypothesis (HA): There is an association between types of phone used and gender of driver. Locate the critical region or regions. The chi-square test is a non-parametric test. Hence, it is not based on any parameters such as proportions or averages. We are trying to perform a chi-square test based on the given data. One-tail test would be used here. Compute the statistic. Calculating the row and column totals, we get- Driver Gender Type of phone used Hand-held Hands-free Neither Total % % % Count Male 131 40 9897 10068 Female 35 28 6913 6976 Total 166 68 16810 17044 Calculating Chi-square test statistic: Expected Frequency Table Driver Gender Type of phone used Hand-held Hands-free Neither Total % % % Count Male 98 40 9930 10068 Female 68 28 6880 6976 Total 166 68 16810 17044 O E (O-E) (O-E)^2 (O-E)^2/E 131 98 33 1089 11.11224 40 40 0 0 0 9897 9930 -33 1089 0.109668 35 68 -33 1089 16.01471 28 28 0 0 0 6913 6880 33 1089 0.158285 Sum 27.3949 Deciding the conclusion about acceptance or rejection The sum of chi-square values is 27.3949. The calculated degrees of freedom = (number of columns -1)*(number of rows 1) = (3-1)*(2-1) = 2*1 = 2. According to the chi-square distribution table, the critical value for 2 degrees of freedom at 5% significance level is 5.99. Since, our test statistic (chi-square value) 27.3949 5.99, it lies inside the critical region. Therefore, the null hypothesis (H0) is rejected at 5% significance level (=0.05). Conclusion: There is an association between types of phones used and gender of driver at 5% level of significance. The output is found to be significant. The two factors types of phones used and gender of driver are dependent to each other.