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Maria is a quality control analyst working for a tech company and decides to test the hypothesis that the mean processing time for software updates

Maria is a quality control analyst working for a tech company and decides to test the hypothesis that the mean processing time for software updates is significantly shorter when conducted using Method A compared to Method B. Maria has obtained a sample of data capturing processing times for both methods. Maria now examines their statistical analysis output after conducting an independent samples t-test. They have specified the following hypothesis: Ho: (Mu_MethodA - Mu_MethodB) >= 0. Ha: (Mu_MethodA - Mu_MethodB) < 0. Maria notes that the value recorded in the column "Sig (2-tailed)" under the "t-test for Equality of Means" is 0.060. Assuming that the test statistic is of the correct sign, what should they conclude in relation to the specific hypothesis that Maria is testing at the .05 level? The mean processing time using Method A is significantly less than the mean processing time using Method B The mean processing time using Method A is not significantly more than the mean processing time using Method B The mean processing time using Method A is not significantly less than the mean processing time using Method B The mean processing time using Method A is not significantly different to the mean processing time using Method B

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